Authors,Author(s) ID,Title,Year,Source title,Volume,Issue,Art. No.,Page start,Page end,Page count,Cited by,DOI,Link,Affiliations,Authors with affiliations,Abstract,Author Keywords,Index Keywords,Molecular Sequence Numbers,Chemicals/CAS,Tradenames,Manufacturers,Funding Details,Funding Text 1,Funding Text 2,References,Correspondence Address,Editors,Sponsors,Publisher,Conference name,Conference date,Conference location,Conference code,ISSN,ISBN,CODEN,PubMed ID,Language of Original Document,Abbreviated Source Title,Document Type,Publication Stage,Open Access,Source,EID
"Ubertini F., Comanducci G., Cavalagli N., Laura Pisello A., Luigi Materazzi A., Cotana F.","55891659200;56479094800;24075415000;54896291600;6602673673;56231867900;","Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment",2017,"Mechanical Systems and Signal Processing","82",,,"307","322",,135,"10.1016/j.ymssp.2016.05.025","https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970015465&doi=10.1016%2fj.ymssp.2016.05.025&partnerID=40&md5=d219f7694bb0b745cc1e26c7c55d5ec1","Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti 93, Perugia, 06125, Italy; CIRIAF Interuniversity Research Center on Pollution and Environment “M. Felli”, University of Perugia, Via G. Duranti, Perugia, 06125, Italy; Department of Engineering, University of Perugia, Via G. Duranti 1/A4, Perugia, 06125, Italy","Ubertini, F., Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti 93, Perugia, 06125, Italy; Comanducci, G., Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti 93, Perugia, 06125, Italy; Cavalagli, N., Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti 93, Perugia, 06125, Italy; Laura Pisello, A., CIRIAF Interuniversity Research Center on Pollution and Environment “M. Felli”, University of Perugia, Via G. Duranti, Perugia, 06125, Italy, Department of Engineering, University of Perugia, Via G. Duranti 1/A4, Perugia, 06125, Italy; Luigi Materazzi, A., Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti 93, Perugia, 06125, Italy; Cotana, F., CIRIAF Interuniversity Research Center on Pollution and Environment “M. Felli”, University of Perugia, Via G. Duranti, Perugia, 06125, Italy","Continuously identified natural frequencies of vibration can provide unique information for low-cost automated condition assessment of civil constructions and infrastructures. However, the effects of changes in environmental parameters, such as temperature and humidity, need to be effectively investigated and accurately removed from identified frequency data for an effective performance assessment. This task is particularly challenging in the case of historical constructions that are typically massive and heterogeneous masonry structures characterized by complex variations of materials' properties with varying environmental parameters and by a differential heat conduction process where thermal capacity plays a major role. While there is abundance of documented monitoring data highlighting correlations between environmental parameters and natural frequencies in the case of new structures, such as long-span bridges, similar studies for historical constructions are still missing, with only a few literature works occasionally reporting increments in natural frequencies with increasing temperature of construction materials due to the closure of internal micro-cracks in the mortar layers caused by thermal expansion. In order to gain some knowledge on the effects of changes in temperature and humidity on the natural frequencies of slender masonry buildings, the paper focuses on the case study of an Italian monumental bell tower that has been monitored by the authors for more than nine months. Correlations between natural frequencies and environmental parameters are investigated in detail and the predictive capabilities of linear statistical regressive models based on the use of several environmental continuous monitoring sensors are assessed. At the end, three basic mechanisms governing environmentally-induced changes in the dynamic behavior of the tower are identified and essential information is achieved on the optimal location and minimum number of environmental sensors that are necessary in a structural health monitoring perspective. © 2016 Elsevier Ltd","Continuous hygro-thermal monitoring; Cultural heritage preservation; Environmental effects; Historical constructions; Operational modal analysis; Structural health monitoring; Weather conditions","Bells; Bridges; Building materials; Environmental impact; Heat conduction; Historic preservation; Masonry materials; Modal analysis; Natural frequencies; Structural analysis; Towers; Cultural heritage preservation; Environmental parameter; Historical construction; Increasing temperatures; Operational modal analysis; Predictive capabilities; Temperature and humidities; Thermal monitoring; Structural health monitoring",,,,,"2014.0223.021, 2014.0266.021; Fondazione Cassa di Risparmio di Perugia","The Authors gratefully acknowledge the financial support of the Cassa di Risparmio di Perugia Foundation that funded this study through the project “Structural Monitoring for the protection of the Cultural Heritage: the bell tower of the Basilica of San Pietro in Perugia and the dome of the Basilica of Santa Maria degli Angeli in Assisi” (Project Code 2014.0266.021). The environmental monitoring activities are carried out thanks to the support of the same Cassa di Risparmio di Perugia Foundation that supported the project entitled “UMBRA ARTIS: Energy technologies for monitoring and protecting artworks in subterranean environment” (Project Code 2014.0223.021).",,"Deraemaeker, A., Reynders, E., (2008), 22, pp. 34-56. , G. De Roeck, J. Kullaa, Vibration-based structural health monitoring using output-only measurements under changing environment, Mech. Syst. Signal Process; Alvandi, A., Cremona, C., Assessment of vibration-based damage identification techniques (2006) J. Sound Vib., 292, pp. 179-202; Materazzi, A.L., Ubertini, F., Eigenproperties of suspension bridges with damage (2011) J. Sound Vib., 330, pp. 6420-6434; Farrar, C., Worden, K., An introduction to structural health monitoring (2007) Philos. Trans. R. Soc., 365, pp. 303-315; Ko, J., Ni, Y., Technology developments in structural health monitoring of large-scale bridges (2005) Eng. 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Energy, 162, pp. 1313-1322; Pisello, A.L., Pignatta, G., Castaldo, V.L., Cotana, F., The impact of local microclimate boundary conditions on building energy performance (2015) Sustainability, 7, pp. 9207-9230; Cantieni, R., Experimental methods used in system identification of civil engineering structures (2005) International Operational Modal Analysis Conference (IOMAC 05); Overschee, V., Moor, D., Subspace Identification for Linear Systems: Theory – Implementation – Applications (1996), Kluwer Academic Publishers Dordrecht, the Netherlands","Ubertini, F.; Department of Civil and Environmental Engineering, Via G. Duranti 93, Italy; email: filippo.ubertini@unipg.it",,,"Academic Press",,,,,08883270,,MSSPE,,"English","Mech Syst Signal Process",Article,"Final","",Scopus,2-s2.0-84970015465
"Alani A.M., Tosti F., Ciampoli L.B., Gagliardi V., Benedetto A.","6603960284;55752556500;57195625280;57203893100;7004429875;","An integrated investigative approach in health monitoring of masonry arch bridges using GPR and InSAR technologies",2020,"NDT and E International","115",,"102288","","",,42,"10.1016/j.ndteint.2020.102288","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084381547&doi=10.1016%2fj.ndteint.2020.102288&partnerID=40&md5=fa389a2018eef205198e38eb9123d84a","School of Computing and Engineering, University of West London (UWL), St Mary's Road, Ealing, London, W5 5RF, United Kingdom; Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy","Alani, A.M., School of Computing and Engineering, University of West London (UWL), St Mary's Road, Ealing, London, W5 5RF, United Kingdom; Tosti, F., School of Computing and Engineering, University of West London (UWL), St Mary's Road, Ealing, London, W5 5RF, United Kingdom; Ciampoli, L.B., Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy; Gagliardi, V., Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy; Benedetto, A., Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy","This paper provides an overview of the existing health monitoring and assessment methods for masonry arch bridges. In addition, a novel “integrated” holistic non-destructive approach for structural monitoring of bridges using ground-based non-destructive testing (NDT) and the satellite remote sensing techniques is presented. The first part of the paper reports a review of masonry arch bridges and the main issues in terms of structural behaviour and functionality as well as the main assessment methods to identify structural integrity-related issues. A new surveying methodology is proposed based on the integration of multi-source, multi-scale and multi-temporal information collected using the Ground Penetrating Radar (GPR – 200, 600 and 2000 MHz central-frequency antennas) and the Interferometric Synthetic Aperture Radar (InSAR – C-band SAR sensors) techniques. A case study (the “Old Bridge” at Aylesford, Kent, UK – a 13th century bridge) is presented demonstrating the effectiveness of the proposed method in the assessment of masonry arch bridges. GPR has proven essential at providing structural detailing in terms of subsurface geometry of the superstructure as well as the exact positioning of the structural ties. InSAR has identified measures of structural displacements caused by the seasonal variation of the water level in the river and the river bed soil expansions. The above process forms the basis for the “integrated” holistic structural health monitoring approach proposed by this paper. © 2020 Elsevier Ltd","Ground penetrating radar (GPR); Interferometric synthetic aperture radar (InSAR); Masonry arch bridges; Non-destructive testing (NDT) assessment; Remote sensing monitoring; “Integrated” holistic structural health monitoring approach","Arches; Geological surveys; Geophysical prospecting; Ground penetrating radar systems; Masonry bridges; Masonry construction; Masonry materials; Microwave antennas; Nondestructive examination; Remote sensing; Structural health monitoring; Synthetic aperture radar; Water levels; Ground Penetrating Radar; Interferometric synthetic aperture radars; Non destructive testing; Satellite remote sensing; Structural behaviour; Structural displacement; Structural monitoring; Sub-surface geometries; Arch bridges",,,,,"European Space Agency, ESA","The license for using the software ENVI SARscape® is granted by the ESA-approved project “MOBI: Monitoring Bridges and Infrastructure Networks” (EOhops proposal 2045 (id 52479)). The Sentinel 1A SAR Products are © of the ESA (European Space Agency) delivered under the license to use. Our special thanks to the Rochester Bridge Trust and the Aylesford St. Peter and St. Paul's Church for facilitating and providing access to the bridge for investigation purposes.",,"Galliazzo, V., I ponti Romani. 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Jol Elsevier; Conde, B., Ramos, L.F., Oliveir, D.V., Riveiro, B., Solla, M., Structural assessment of masonry arch bridges by combination of non-destructive testing techniques and three-dimensional numerical modelling: application to Vilanova bridge (2017) Eng Struct, 148, pp. 621-638; Bergamo, O., Campione, G., Donadello, S., Russo, G., In-situ NDT testing procedure as an integral part of failure analysis of historical masonry arch bridges (2015) Eng Fail Anal, 57, pp. 31-55; Moro, M., Saroli, M., Stramondo, S., Bignami, C., Albano, M., Falcucci, E., New insights into earthquake precursors from InSAR (2017) Sci Rep, 7, p. 12035; Dammann, D.O., Eriksson, L.E.B., Mahoney, A.R., Stevens, C.W., Van der Sanden, J., Eicken, H., Meyer, F.J., Tweedie, C.E., Mapping arctic bottomfast sea ice using SAR interferometry (2018) Rem Sens, 10 (5), p. 720; Guo, Q., Xu, C., Wen, Y., Liu, Y., Xu, G., The 2017 noneruptive unrest at the Caldera of Cerro Azul Volcano (Galápagos Islands) revealed by InSAR observations and geodetic modelling (2019) Rem Sens, 11 (17), p. 1992; Del Soldato, M., Solari, L., Poggi, F., Raspini, F., Tomás, R., Fanti, R., Casagli, N., Landslide-induced damage probability estimation coupling InSAR and field survey data by fragility curves (2019) Rem Sens, 11 (12), p. 1486; Gabriel, A.K., Goldstein, R.M., Zebker, H.A., Mapping small elevation changes over large areas: differential radar interferometry (1989) J Geophys Res, 94 (B7), pp. 9183-9191; Massonnet, D., Feigl, K.L., Radar interferometry and its application to changes in the Earth's surface (1998) Rev Geophys, 36 (4), pp. 441-500; Rosen, P.A., Hensley, S., Joughin, I.R., Li, F.K., Madsen, S.N., Rodriguez, E., Goldstein, R.M., Synthetic aperture radar interferometry (2000) Proc IEEE, 88 (3), pp. 333-382; Bamler, R., Hartl, P., Synthetic aperture radar interferometry (1998) Inverse Probl, 14, pp. R1-R54; Lanari, R., Casu, F., Manzo, M., Lundgren, P., Application of the SBAS-DInSAR technique to fault creep: a case study of the Hayward fault, California (2007) Remote Sens Environ, 109 (1), pp. 20-28; Lanari, R., Mora, O., Manunta, M., Mallorqui, J.J., Berardino, P., Sansosti, E., A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms (2004) IEEE Trans Geosci Rem Sens, 42 (7), pp. 1377-1386; Casu, F., Manzo, M., Lanari, R., A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data (2006) Remote Sens Environ, 102 (3-4), pp. 195-210; Lanari, R., Lundgren, P., Manzo, M., Casu, F., Satellite radar interferometry time series analysis of surface deformation for Los Angeles, California (2004) Geophys Res Lett, 31 (23); Colesanti, C., Ferretti, A., Prati, C., Rocca, F., Monitoring landslides and tectonic motions with the permanent scatterers technique (2003) Eng Geol, 68, pp. 3-14; Colesanti, C., Mouelic, S.L., Bennani, M., Raucoules, D., Carnec, C., Ferretti, A., Detection of mining related ground instabilities using the Permanent Scatterers technique—a case study in the east of France (2005) Int J Rem Sens, 26 (1), pp. 201-207; Milillo, P., Giardina, G., Perissin, D., Milillo, G., Coletta, A., Terranova, C., Pre-collapse space geodetic observations of critical infrastructure: the Morandi Bridge, Genoa, Italy (2019) Rem Sens, 11 (12), p. 1403; Koudogbo, F., Urdiroz, A., Robles, J.G., Chapron, G., Lebon, G., Fluteaux, V., Priol, G., Radar interferometry as an innovative solution for monitoring the construction of the Grand Paris Express metro network—first results (2018) World tunnel conference, 2–25 April. , [Dubai]; Barla, G., Tamburini, A., Del Conte, S., Giannico, C., InSAR monitoring of tunnel induced ground movements (2016) Geomechanik und Tunnelbau, 9 (1), pp. 15-22; Yang, Z., Schmid, F., Roberts, C., Assessment of railway performance by monitoring land subsidence (2014) 6th IET conference on railway condition monitoring, pp. 1-6. , RCM 2014; Sarmap, SARscape technical description (2012), http://www.sarmap.ch/pdf//SARscapeTechnical.pdf/, accessed 11 February 2020; Sarmap, SAR-Guidebook (2009), http://www.sarmap.ch/pdf/SAR-Guidebook.pdf, accessed 11 February 2020; ENVI SARscape brochure https://www.harrisgeospatial.com/Portals/0/pdfs/HG_SARscape_brochure_WEB.pdf, accessed 11 February 2020; The shuttle radar topography mission (SRTM) collection user guide (2015), https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf, accessed 11 February 2020; Rodriguez, E., Morris, C.S., Belz, J.E., Chapin, E.C., Martin, J.M., Daffer, W., Hensley, S., An assessment of the SRTM topographic products (2005), p. 143. , Jet Propulsion Laboratory Pasadena, California Technical Report JPL D-31639; (2019) National River flow archive, , https://nrfa.ceh.ac.uk, UK Centre for Ecology & Hydrology (UKCEH) Wallingford accessed 10 October 2019","Tosti, F.; School of Computing and Engineering, St Mary's Road, Ealing, United Kingdom; email: Fabio.Tosti@uwl.ac.uk",,,"Elsevier Ltd",,,,,09638695,,NDTIE,,"English","NDT E Int",Article,"Final","All Open Access, Green",Scopus,2-s2.0-85084381547
"Pachón P., Castro R., García-Macías E., Compan V., Puertas E.","55932249500;55775365000;56939045400;7005434464;56432860600;","E. Torroja's bridge: Tailored experimental setup for SHM of a historical bridge with a reduced number of sensors",2018,"Engineering Structures","162",,,"11","21",,30,"10.1016/j.engstruct.2018.02.035","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044625868&doi=10.1016%2fj.engstruct.2018.02.035&partnerID=40&md5=88b01ce30a6b45e6450e2f31966f4600","Dept. of Continuum Mechanics, Universidad de Sevilla, Avenida Reina Mercedes, Sevilla, 41012, Spain; Dept. of Mechanics, Universidad de Córdoba, Campus de Rabanales, Cordoba, 14071, Spain; Department of Continuum Mechanics and Structural Analysis, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville, 41092, Spain; Dept. of Mechanical Structures and Hydraulic Engineering, Universidad de Granada, Avenida Fuentenueva, Granada, 18001, Spain","Pachón, P., Dept. of Continuum Mechanics, Universidad de Sevilla, Avenida Reina Mercedes, Sevilla, 41012, Spain; Castro, R., Dept. of Mechanics, Universidad de Córdoba, Campus de Rabanales, Cordoba, 14071, Spain; García-Macías, E., Department of Continuum Mechanics and Structural Analysis, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville, 41092, Spain; Compan, V., Dept. of Continuum Mechanics, Universidad de Sevilla, Avenida Reina Mercedes, Sevilla, 41012, Spain; Puertas, E., Dept. of Mechanical Structures and Hydraulic Engineering, Universidad de Granada, Avenida Fuentenueva, Granada, 18001, Spain","This paper presents the design of an experimental setup with a reduced number of sensors for the structural health monitoring of the historical bridge of Posadas (Córdoba, Spain), designed by the eminent engineer Eduardo Torroja in 1957. The motivation of this study stems from the need for safeguarding this piece of cultural heritage. In particular, the singularity of this historical construction, a steel–concrete composite typology consisting of a concrete deck slab and inverted bowstring steel trusses, makes continuous in-service condition assessment essential for its maintenance. Nevertheless, the application of existing continuous monitoring systems to such large-scale structures entails considerable investments as well as complex signal processing algorithms. Whereby the optimization of the number of sensors and their location is of the utmost interest. In this line, this work presents the application of an Optimal Sensor Placement (OSP) methodology to tailor an experimental setup for a cost-efficient continuous monitoring of the E. Torroja's bridge. Due to the fact that most OSP approaches are model-based, it is essential to count on a sufficiently accurate numerical model. To this aim, an extensive vibration-based operational modal analysis is first conducted with a large number of accelerometers. Afterward, a three-dimensional finite element model of the E. Torroja's bridge is updated on the basis of the experimentally identified dynamic properties with a genetic optimization algorithm. Finally, an optimal sensor placement methodology is utilized to design an experimental setup with a limited number of sensors for long-term monitoring purposes. The results demonstrate that few sensors are needed to accurately assess the main resonant frequencies and mode shapes. © 2018 Elsevier Ltd","Ambient vibration; Cultural heritage; Genetic algorithm; Historical constructions; Operational modal analysis; Optimal sensor placement; Structural Health Monitoring","Concretes; Finite element method; Genetic algorithms; Modal analysis; Monitoring; Natural frequencies; Signal processing; Structural health monitoring; Three dimensional computer graphics; Vibration analysis; Ambient vibrations; Cultural heritages; Historical construction; Operational modal analysis; Optimal sensor placement; Bridges; bridge; bridge construction; cultural heritage; genetic algorithm; health monitoring; sensor; vibration; Andalucia; Cordoba [Andalucia]; Spain",,,,,"Ministerio de Educación, Cultura y Deporte, MECD: FPU13/04892","The authors are pleased to acknowledge the Regional Government of Andalusia, for the support and the availability supplied during the experimental campaign. On the other hand, we cannot forget the help given by the researches of the investigation groups TEP-167 and TEP-245 of the Universities of Granada and Seville, respectively. E. G-M was also supported by a FPU contract-fellowship from the Spanish Ministry of Education Ref: FPU13/04892 .",,"Türker, T., Bayraktar, A., Structural safety assessment of bowstring type RC arch bridges using ambient vibration testing and finite element model calibration (2014) Measurement, 58, pp. 33-45; Torres, W., Almazán, J.L., Sandoval, C., Boroschek, R., Operational modal analysis and FE model updating of the metropolitan cathedral of santiago, chile (2017) Eng Struct, 143, pp. 169-188; Pepi, C., Gioffrè, M., Comanducci, G., Cavalagli, N., Bonaca, A., Ubertini, F., Dynamic characterization of a severely damaged historic masonry bridge (2017) Proc Eng, 199, pp. 3398-3403; Conde, B., Ramos, L.F., Oliveira, D.V., Riveiro, B., Solla, M., Structural assessment of masonry arch bridges by combination of non-destructive testing techniques and three-dimensional numerical modelling: application to Vilanova bridge (2017) Eng Struct, 148, pp. 621-638; Gentile, C., Saisi, A., Operational modal testing of historic structures at different levels of excitation (2013) Construct Build Mater, 48, pp. 1273-1285; Altunişik, A.C., Bayraktar, A., Sevim, B., Birinci, F., Vibration-based operational modal analysis of the Mikron historic arch bridge after restoration (2011) Civil Eng Environ Syst, 28 (3), pp. 247-259; Torroja, E., (2008), Razón y ser de los tipos estructurales. Consejo Superior de Investigaciones Científicas;; García-Macías, E., Castro-Triguero, R., Gallego, R., Carretero, J., (2015) Proceedings of the society for experimental mechanics series, pp. 147-55. , Ambient vibration testing of historic steel-composite bridge, the E. Torroja bridge, for structural identification and finite element model updating. In: Conference Springer International Publishing;; (2015), Dassault Systemes S. Abaqus/CAE 6.13 User's Guide;; Ramos, J.L.S., (2007), Damage identification on masonry structures based on vibration signatures, Ph.D. thesis. Universidade do Minho;; Rodrigues, J., (2004), Identificação modal estocastica, metodos de analise e aplicações em estruturas de engenharia civil, Ph.D. thesis. Engineering Faculty of University of Porto;; Ramos, L., Marques, L., Lourenço, P., Roeck, G.D., Campos-Costa, A., Roque, J., Monitoring historical masonry structures with operational modal analysis: two case studies (2010) Mech Syst Sig Process, 24 (5), pp. 1291-1305; Solutions, S.V., (2015), Artemis modal 5.0. User's Guide;; Wang, T., Celik, O., Catbas, F., Zhang, L., A frequency and spatial domain decomposition method for operational strain modal analysis and its application (2016) Eng Struct, 114, pp. 104-112; Brincker, R., Zhang, L., Andersen, P., Modal identification of output-only systems using frequency domain decomposition (2001) Smart Mater Struct, 10 (3), pp. 441-445; Peeters, B., Roeck, G.D., Reference-based stochastic subspace identification for output-only modal analysis (1999) Mech Syst Sig Process, 13 (6), pp. 855-878; Peeters, B., Roeck, G.D., Stochastic system identification for operational modal analysis: a review (2001) J Dynam Syst, Measur, Control, 123 (4), p. 659; Allemang, R.J., Brown, D.L., (1983), A correlation coefficient for modal vector analysis. In: International modal analysis conference;; Brewick, P., Smyth, A., An investigation of the effects of traffic induced local dynamics on global damping estimates using operational modal analysis (2013) Mech Syst Sig Process, 41 (1-2), pp. 433-453; Pachón, P., Compán, V., Rodríguez-Mayorga, E., Sáez, A., Control of structural intervention in the area of the Roman Theatre of Cadiz (Spain) by using non-destructive techniques (2015) Construct Build Mater, 101, pp. 572-583; Teughels, A., (2003), Inverse modelling of civil engineering structures based on operational modal data, Ph.D. thesis. University of Leuven;; (2015), MathWorks, MATLAB R2015a. User's Guide;; Triguero, R.C., Murugan, S., Gallego, R., Friswell, M.I., Robustness of optimal sensor placement under parametric uncertainty (2013) Mech Syst Sig Process, 41 (1-2), pp. 268-287; Meo, M., Zumpano, G., On the optimal sensor placement techniques for a bridge structure (2005) Eng Struct, 27 (10), pp. 1488-1497; Kammer, D., Yao, L., Enhancement of on orbit modal identification of large space structures through sensor placement (1994) J Sound Vib, 171 (1), pp. 119-139","Pachón, P.; Dept. of Continuum Mechanics, Avenida Reina Mercedes, Spain; email: ppachon@us.es",,,"Elsevier Ltd",,,,,01410296,,ENSTD,,"English","Eng. Struct.",Article,"Final","",Scopus,2-s2.0-85044625868
"Ri S., Tsuda H., Chang K., Hsu S., Lo F., Lee T.","55496439200;57201837945;7404878786;7403184242;57213186557;57214422835;","Dynamic Deformation Measurement by the Sampling Moiré Method from Video Recording and its Application to Bridge Engineering",2020,"Experimental Techniques","44","3",,"313","327",,13,"10.1007/s40799-019-00358-4","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077698400&doi=10.1007%2fs40799-019-00358-4&partnerID=40&md5=30acb5631c8afab23273990f3f2dfc51","Research Institute for Measurement and Analytical Instrumentation, National Metrology Institute of Japan (NMIJ), National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, 305-8568, Japan; Center for Measurement Standards (CMS), Industrial Technology Research Institute of Taiwan (ITRI), Bldg. 8, 321, Sec. 2, Kuang Fu Rd, Hsinchu, 30011, Taiwan; Department of Civil Engineering, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan","Ri, S., Research Institute for Measurement and Analytical Instrumentation, National Metrology Institute of Japan (NMIJ), National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, 305-8568, Japan; Tsuda, H., Research Institute for Measurement and Analytical Instrumentation, National Metrology Institute of Japan (NMIJ), National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, 305-8568, Japan; Chang, K., Center for Measurement Standards (CMS), Industrial Technology Research Institute of Taiwan (ITRI), Bldg. 8, 321, Sec. 2, Kuang Fu Rd, Hsinchu, 30011, Taiwan; Hsu, S., Center for Measurement Standards (CMS), Industrial Technology Research Institute of Taiwan (ITRI), Bldg. 8, 321, Sec. 2, Kuang Fu Rd, Hsinchu, 30011, Taiwan; Lo, F., Center for Measurement Standards (CMS), Industrial Technology Research Institute of Taiwan (ITRI), Bldg. 8, 321, Sec. 2, Kuang Fu Rd, Hsinchu, 30011, Taiwan; Lee, T., Department of Civil Engineering, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan","Measuring accurate dynamic deformation distribution for large-scale structures inexpensively and efficiently is a crucial challenge of structural health monitoring. In this study, a simple technique for measuring the deflection and vibration frequency from a captured video, based on the sampling Moiré method is developed. The striking advantage over conventional measurement using sensors and other imaging techniques are that the developed technique allows accurate measurement of two-dimensional deformations at multiple locations as well as the natural frequency of the target structure. Joint Photographic Experts Group (JPEG)-formatted images encoded from the recorded video with Motion-JPEG (MJPEG) format reduced the file size significantly without degrading the measurement accuracy and applied to deformation measurement. The effectiveness of the developed technique was confirmed through a field experiment of an old bridge in Taiwan. The field experiment demonstrated that both deflection and natural frequency of the bridge were successfully measured with higher 0.1 mm displacement accuracy and 0.05 Hz frequecy comparable to a conventional microwave radar displacement sensor from 20 m distance. © 2020, The Author(s).","Bridge; Displacement measurement; Image compression; Phase analysis; Sampling Moiré; Video record","Bridges; Deformation; Displacement measurement; Image compression; Microwave sensors; Natural frequencies; Structural health monitoring; Video recording; Accurate measurement; Conventional measurements; Deformation measurements; Dynamic deformation measurements; Joint photographic experts group; Large scale structures; Measurement accuracy; Phase analysis; Electric measuring bridges",,,,,,,,"Cowing, M.M., Pate-Cornell, M.E., Glynn, P.W., Dynamic modeling of the tradeoff between productivity and safety in critical engineering systems (2004) Reliab Eng Syst Saf, 86 (3), pp. 269-284; Markowski, A.S., Mannan, M.S., Kotynia, A., Siuta, D., Uncertainty aspects in process safety analysis (2010) J Loss Prev Process Ind, 23 (3), pp. 446-454; Ri, S., Tsuda, H., Measuring small deformations of large structures using a digital camera (2013) SPIE Newsroom, , (,),.,., https://doi.org/10.1117/2.1201305.004877; Vohra, S.T., Todd, M.D., Johnson, G.A., Chang, C.C., Danver, B.A., Fiber Bragg grating sensor system for civil structure monitoring applications and field tests (1999) Proc SPIE, 3746, pp. 32-37; Ng, J.H., Zhou, X., Yang, X., Hao, J., A simple temperature-insensitive fiber Bragg grating displacement sensor (2007) Opt Commun, 273 (2), pp. 398-401. , COI: 1:CAS:528:DC%2BD2sXjsVWrsrw%3D; Li, C., Peng, Z., Huang, T., Fan, T., Wang, F., Horng, T., Munoz-Ferreras, J., Lin, J., A review on recent progress of portable short-range noncontact microwave radar systems (2017) IEEE Transactions on Microwave Theory and Techniques, 65 (5), pp. 1692-1706; Kaito, K., Abe, M., Fujino, Y., Development of non-contact scanning vibration measurement system for real-scale structures (2005) Struct Infrastruct Eng, 1 (3), pp. 189-205; Wahbeh, A.M., Caffrey, J.P., Masri, S.F., A vision-based approach for the direct measurement of displacements in vibrating systems (2003) Smart Mater Struct, 12 (5), pp. 785-794; Lee, J.J., Shinozuka, M., A vision-based system for remote sensing of bridge displacement (2006) NDT&E Int, 39 (5), pp. 425-432; Sutton, M.A., Cheng, M., Peters, W.H., Chao, Y.J., McNeil, S.R., Application of an optimized digital correlation method to planar deformation analysis (1986) Image Vis Comput, 4 (3), pp. 143-150; Yoneyama, S., Kitagawa, A., Iwata, S., Tani, K., Kikuta, H., Bridge deflection measurement using digital image correlation (2007) Exp Tech, 31 (1), pp. 34-40; Pan, B., Tian, L., Song, X., Real-time, non-contact and targetless measurement of vertical deflection of bridges using off-axis digital image correlation (2016) NDT&E Int, 79, pp. 73-80; Tian, L., Pan, B., Remote bridge deflection measurement using an advanced video deflectometer and actively illuminated LED targets (2016) Sensors, 16, p. 1344; Hoag, A., Hoult, N., Take, W., Moreu, F., Le, H., Tolikonda, V., Measuring displacements of a railroad bridge using DIC and accelerometers (2017) Smart Structures and Systems, 19 (2), pp. 225-236; Xu, Y., Brownjohn, J., Review of machine-vision based methodologies for displacement measurement in civil structures (2018) J Civ Struct Heal Monit, 8, pp. 91-110; Khuc, T., Catbas, F.N., Completely contactless structural health monitoring of real-life structures using cameras and computer vision (2017) Struct Control Health Monit, 24; Martins, L.L., Rebordao, J.M., Ribeiro, A.S., Structural observation of long-span suspension bridges for safety assessment: implementation of an optical displacement measurement system (2015) J Phys Conf Ser, 588, p. 12004; Ri, S., Fujigaki, M., Morimoto, Y., Sampling moiré method for accurate small deformation distribution measurement (2010) Exp Mech, 50 (4), pp. 501-508; Ri, S., Muramatsu, T., Theoretical error analysis of the sampling moiré method and phase compensation methodology for single-shot phase analysis (2012) Appl Opt, 51 (16), pp. 3214-3223; Ri, S., Muramatsu, T., Saka, M., Nanbara, K., Kobayashi, D., Accuracy of the sampling moiré method and its application to deflection measurements of large-scale structures (2012) Exp Mech, 52 (4), pp. 331-340; Ri, S., Saka, M., Nanbara, K., Kobayashi, D., Dynamic thermal deformation measurement of large-scale, high-temperature piping in thermal power plants utilizing the sampling Moiré method and grating magnets (2013) Exp Mech, 53 (9), pp. 1635-1646; https://ffmpeg.org, FFmpeg, (Ver. 4.0.4, March 28 2019 Released); Pennebaker, W.B., Mitchellm, J.L., (1993) JPEG still image data compression standard, , Springer Science & Business Media, New York","Ri, S.; Research Institute for Measurement and Analytical Instrumentation, 1-1-1 Umezono, Japan; email: ri-shien@aist.go.jp",,,"Springer",,,,,07328818,,EXPTD,,"English","Exp. Tech.",Article,"Final","All Open Access, Hybrid Gold",Scopus,2-s2.0-85077698400
"Mongelli M., De Canio G., Roselli I., Malena M., Nacuzi A., De Felice G.","7005882343;36100105000;6507903563;23501781800;57195313212;57213360105;","3D photogrammetric reconstruction by drone scanning for FE analysis and crack pattern mapping of the ""bridge of the Towers"", Spoleto",2017,"Key Engineering Materials","747 KEM",,,"423","430",,10,"10.4028/www.scientific.net/KEM.747.423","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027019440&doi=10.4028%2fwww.scientific.net%2fKEM.747.423&partnerID=40&md5=441a79378880a769bbf3b5984dc75e42","Enea, Casaccia Research Center, Via Anguillarese 301, Rome, 00123, Italy; Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy","Mongelli, M., Enea, Casaccia Research Center, Via Anguillarese 301, Rome, 00123, Italy; De Canio, G., Enea, Casaccia Research Center, Via Anguillarese 301, Rome, 00123, Italy; Roselli, I., Enea, Casaccia Research Center, Via Anguillarese 301, Rome, 00123, Italy; Malena, M., Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy; Nacuzi, A., Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy; De Felice, G., Department of Engineering, Roma Tre University, Via Vito Volterra 62, Rome, 00146, Italy","Technological advances in the digital camera industry and computing resources make the use of photogrammetry a very fast, low-cost, contactless and non-destructive technique. It can represent a good alternative to obtain 3D information for monitoring and conservation of cultural heritage assets, especially where it is not possible to use 3D laser scanners and also in situations where areas to be inspected are not easily accessible [1]. Resolution generally depends on the number of images, their quality and the level of overlap between them, as well as hardware and software capabilities. Starting from 2D aerial or terrestrial photographic images, photogrammetry allows to reconstruct a 3D model in the form of a ""point cloud"" and also to derive accurate 3D measurements of large architectural elements. This paper is about stereo-photogrammetric scanning by drone performed by MENCI software s.r.l. aimed at the definition of the state of conservation of the ""Bridge of the Towers"" in Spoleto and its long term preservation without building scaffoldings. It was performed within the RoMA (Resilience enhancement of a Metropolitan Area) project, through an agreement between the ""Italian National Agency for New Technologies, Energy and Sustainable Economic Development"" (ENEA) and the ""Italian Ministry of Cultural Heritage and Activities"" (MIBACT). Photogrammetric scanning and FE modelling were applied within the project together with many other monitoring techniques in order to assess the bridge cracks pattern and its structural health by a multidisciplinary approach that allows their mutual validation [2]. As one of the most important problems in the use of photogrammetric 3D reconstruction is the considerable demand in terms of hardware and software resources for images processing and data storage, thanks to the HPC (High Performance Computing) resources provided by the CRESCO infrastructure (Research Computational Centre on Complex Systems), it was possible to analyse and process a large amount of high-resolution photos in order to detect the crack pattern and to assess the actual damage state to be monitored over time [3]. © 2017 Trans Tech Publications.","3D reconstruction; Cultural heritage; FE analysis; Photogrammetry; SfM","3D modeling; Antennas; Costs; Cracks; Data handling; Digital storage; Drones; Finite element method; Glass ceramics; Historic preservation; Masonry materials; Nondestructive examination; Photogrammetry; Photography; Scanning; Stereo image processing; Structural health monitoring; Three dimensional computer graphics; 3D reconstruction; Conservation of cultural heritages; Cultural heritages; FE analysis; High performance computing; Multi-disciplinary approach; Non-destructive technique; Sustainable economic development; Image reconstruction",,,,,,,,"Arias, P., Herraez, J., Lorenzo, H., Ordonez, C., Control of structural problems in cultural heritage monuments using close-range photogrammetry and computer methods (2005) Computers and Structures, 83, pp. 1754-2176; De Canio, G., Roselli, I., Giocoli, A., Mongelli, M., Tatì, A., Pollino, M., Martini, S., Borfecchia, F., Seismic monitoring of the cathedral of orvieto: Combining satellite InSAR with in-situ techniques (2015) Proceedings of SHMII-7, , Turin, Italy; Ponti, G., The role of medium size facilities in the HPC ecosystem: The case of the new CRESCO4 cluster integrated in the ENEAGRID infrastructure (2014) Proceedings of the International Conference on High Performance Computing and Simulation (HPCS), , paper 6903807; De Canio, G., Mongelli, M., Roselli, I., Tatì, A., Addessi, D., Nocera, M., Liberatore, D., Numerical and operational modal analyses of the ""Ponte delle torri"", Spoleto, Italy Proceedings of 10th SAHC, , Leuven, Belgium; Gioffrè, M., Gusella, V., Cluni, F., Performance evaluation of monumental bridges: Testing and monitoring 'Ponte delle torri' in spoleto (2007) Structure and Infrastructure Engineering (2008), 4 (2), pp. 95-106. , Maintenance, Management, Life-Cycl August (12); Araiza Garaygordobil, J.C., Dynamic identification and model updating of historical buildings. State-of-the-art review (2004) Proceedings of 4th International Seminar on Structural Analysis of Historical Constructions, p. 499. , 10-13 November Padua, Italy; Brincker, R., De Stefano, A., Piombo, B., Ambient data to analyse the dynamic behaviour of bridges: A first comparison between different techniques (1996) Proceedings of 14th International Modal Analysis Conference (IMAC), pp. 477-482. , 12-15 February Dearborn, Michigan","Mongelli, M.; Enea, Via Anguillarese 301, Italy; email: marialuisa.mongelli@enea.it","Di Tommaso A.Gentilini C.Castellazzi G.",,"Trans Tech Publications Ltd","International Conference on Mechanics of Masonry Structures Strengthened with Composites Materials, MuRiCo5 2017","28 June 2017 through 30 June 2017",,195699,10139826,9783035711646,KEMAE,,"English","Key Eng Mat",Conference Paper,"Final","",Scopus,2-s2.0-85027019440
"Ballio F., Ballio G., Franzetti S., Crotti G., Solari G.","6602931738;6603718310;6603508236;56625740900;7004648228;","Actions monitoring as an alternative to structural rehabilitation: Case study of a river bridge",2018,"Structural Control and Health Monitoring","25","11","e2250","","",,9,"10.1002/stc.2250","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052402887&doi=10.1002%2fstc.2250&partnerID=40&md5=3218c1c3402e9eaf9de0181fb36fa6f8","Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy","Ballio, F., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Ballio, G., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Franzetti, S., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Crotti, G., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Solari, G., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy","A number of river bridges collapse worldwide every year during flood events, due to combination of actions including traffic loads, water and wind load, riverbed degradation, and accumulation of debris. Incidence of failure is higher for relatively old bridges that may have been designed without adequate consideration for some of such actions, in particular the scour potential at piers and abutments; in this case, consolidation of bridge foundations may be required. As an alternative to structural rehabilitation, we propose here real-time management as a nonstructural risk-mitigation measure: Data from a monitoring system aid the bridge managers to decide whether a bridge should be partially or totally closed to traffic in the case that forecasted environmental conditions indicate that the structure may exit its safe operational domain. A peculiar feature of the present proposal is that the monitoring system focuses on the evaluation of the environmental actions on the structure rather than on the health state of the structure itself: Such choice allows sufficient lead time for bridge closure. Bridge management may not prevent the damage of the structure but should avoid casualties. The methodology is presented with reference to the field case of a bridge over the river Po (Italy); its generalization to a larger variety of conditions is also discussed. © 2018 John Wiley & Sons, Ltd.","bridge monitoring; bridge safety; nonstructural risk mitigation; real-time management; river bridge; scour","Floods; Information management; Monitoring; Risk assessment; Rivers; Scour; Structural health monitoring; Bridge monitoring; Bridge safety; Real-time management; Risk mitigation; River bridges; Bridges",,,,,,,,"Wardhana, K., Hadipriono, F.C., Analysis of recent bridge failures in the United States (2003) J Perform Constructed Facil, 17 (3), pp. 144-150; Rhodes, J., Trent, R., Hydraulic engineering (1993) Proc ASCE Natl Conf, 1, pp. 928-933; Briaud, J.L., Gardoni, P., Yao, C., Geotech, J., Statistical, Risk, and Reliability Analyses of Bridge Scour (2014) Geoenviron Eng, 140 (2); Imhof, D., (2004) Risk assessment of existing bridge structures, , PhD Thesis, University of Cambridge, UK; Macky, G.H., (1990) Survey of roading expenditure due to scour, , report CR 90.09, DSIR Hydrology Centre, Christchurch, New Zeland; Melville, B.W., Coleman, S.E., (2000) Bridge scour, , Water Resources Publications, LLC, Highlands Ranch, Colorado, USA; Ballio, F., Bianchi, A., Franzetti, S., De Falco, F., Mancini, M., (1998) XXVI Convegno Nazionale di Idraulica e Costruzioni Idrauliche, 3, pp. 69-80. , Vulnerabilità idraulica dei ponti fluviali., Catania, Italy; Azhari, F., Loh, K.J., Laboratory validation of buried piezoelectric scour sensing rods (2017) Struct Control Health Monit, 24 (9), pp. 1-14. , e1969); Bao, T., Liu, Z., Vibration-based bridge scour detection: a review (2017) Struct Control Health Monit, 24 (7), pp. 1-19. , e1937); Zevenbergen, L.W., Arneson, L.A., Hunt, J.H., Miller, A.C., (2012) Hydraulic Design of Safe Bridges, , Washington D.C., FHA, FHWA-HIF-12-018 - HDS-7; Arneson, L.A., Zevenbergen, L.W., Lagasse, P.F., Clopper, P.E., (2012) Evaluating Scour at Bridges, , Fifth Edition, FHWA-HIF-12-003 - HEC-18, ed., Washington D.C., FHA; Alexandre, K., Garrow, L.A., Higgins, M.J., Meyer, M.D., Impacts of Climate Change on Scour-Vulnerable Bridges: Assessment Based on HYRISK (2013) J Infrastruct Syst, 19 (2); (2002) Eurocode, Basis of Structural Design, , Brussels, CEN; Lin, T.K., Chang, Y.S., Development of a real-time scour monitoring system for bridge safety evaluation (2017) Mech Syst Signal Process, 82, pp. 503-518; Ju, S.H., Determination of scoured bridge natural frequencies with soil–structure interaction (2013) Soil Dynam Earthquake Eng, 55, pp. 247-254; Farrar, C.R., Worden, K., (2013) Structural Health Monitoring: A Machine Learning Perspective, , Chichester, UK, John Wiley & Sons, introduction; Cunha, A., Caetano, E., Magalhães, F., Moutinho, C., Recent perspectives in dynamic testing and monitoring of bridges (2013) Struct Control Health Monit, 20 (6), pp. 853-877; Biswajit, B., Bursi, O.S., Casciati, F., A European association for the control of structures joint perspective. Recent studies in civil structural control across Europe (2014) Struct Control Health Monit, 21, pp. 1414-1436; Zonta, D., Glisic, B., Adriaenssens, S., Value of information: impact of monitoring on decision-making (2014) Struct Control Health Monit, 21 (7), pp. 1043-1056; (2005) Eurocode 1, actions on structures, part 1–6: general actions—actions during construction, , Brussels, CEN; van Hinsberg, N.P., The Reynolds number dependency of the steady and unsteady loading on a slightly rough circular cylinder: from subcritical up to high transcritical flow state (2015) J Fluid Struct, 55, pp. 526-539; Igarashi, T., Suzuki, K., Characteristics of the flow around three circular cylinders (1984) Bull JSME, 27 (233), pp. 2397-2404; Moradian, N., David, S., Ting, K., Cheng, S., The effects of freestream turbulence on the drag coefficient of a sphere (2009) Exp Thermal Fluid Sci, 33 (3), pp. 460-471; (2011) Coastal construction manual: principles and practices of planning, siting, designing, constructing, and maintaining residential buildings in coastal areas, , 4th Edition; Tsutsui, T., (2008) VI International Colloquium on Bluff Bodies Aerodynamics and Applications (BBAA), , Milano, Italy,, Paper no VC06; (2010) Effects of Debris on Bridge Pier Scour, , Washington DC, TRB, Rep. 653; (2000) Debris Forces on Highway Bridges, , Washington, DC., TRB, Rep. 445; Richardson, E.V., Davis, S.R., Evaluating scour at bridges (2001) Hydraulic Engineering Circular No. 18, , (HEC-18)., fourth, ed., Washington DC, FHA; Sheppard, D.M., Melville, B.W., Demir, H., Evaluation of existing equations for local scour at bridge piers (2014) J Hydraul Eng, 140 (1), pp. 14-23; Melville, B.W., Dongol, D.M., Bridge pier scour with debris accumulation (1992) J Hydraul Eng, 118 (9), pp. 1306-1310; (2005) Eurocode 1, actions on structures, part 1–4: wind actions, , Brussels, CEN; (2008) Nuove norme tecniche per le costruzioni, , Decreto del Ministero delle Infrastrutture e dei Trasporti 14 gennaio 2008, Circolare pubblicata nella Gazzetta Ufficiale n. 47 del 26–02-emento Ordinario n. 27, 2010, Gruppo 24 Ore editore; (2005) Eurocode 1, actions on structures part 2: traffic loads on bridges, , Brussels, CEN; Manzoni, S., Crotti, G., Ballio, F., Cigada, A., Inzoli, F., Colombo, E., Bless: a fiber optic sedimeter (2011) Flow Meas Instrum, 22 (5), pp. 447-455; Fisher, M., Chowdhury, M.N., Khan, A.A., Atamturktur, S., An evaluation of scour measurement devices (2013) Flow Meas Instrum, 33, pp. 55-67; Ahamed, T., Shim, J., Jo, H., Duan, G., (2016) Test of low-cost sonar sensors for bridge scour monitoring, pp. 78-87. , 16th Annual World Environmental and Water Resources Congress of the Environmental-and-Water-Resources-Institute (EWRI), West Palm Beach, FL; Wang, C., Yu, X., Liang, F., A review of bridge scour: mechanism, estimation, monitoring and countermeasures (2017) Nat Hazards, 87 (3), pp. 1881-1906; Burlando, M., Pizzo, M., Repetto, M.P., Solari, G., De Gaetano, P., Tizzi, M., Short-term wind forecast for the safety management of complex areas during hazardous wind events (2014) J Wind Eng Ind Aerodyn, 135, pp. 170-181; Solari, G., Repetto, M.P., Burlando, M., The wind forecast for safety management of port areas (2012) J Wind Eng Ind Aerodyn, 104-106, pp. 266-277; Repetto, M.P., Burlando, M., Solari, G., De Gaetano, P., Pizzo, M., Tizzi, M., A web-based GIS platform for the safe management and risk assessment of complex structural and infrastructural systems exposed to wind (2018) Adv Eng Software, 117, pp. 29-45; Burlando, M., Freda, A., Ratto, C.F., Solari, G., A pilot study of the wind speed along the Rome–Naples HS/HC railway line. Part 1—numerical modelling and wind simulations (2010) J Wind Eng Ind Aerodyn, 98 (8-9), pp. 392-403; Repetto, M.P., Burlando, M., Solari, G., De Gaetano, P., Pizzo, M., Integrated tools for improving the resilience of seaports under extreme wind events (2017) Sustain Cities Soc, 32, pp. 277-294; Bonavita, M., Torrisi, L., Marcucci, F., Ensemble data assimilation with the CNMCA regional forecasting system (2010) Q J Roy Meteorol Soc, 136 (646), pp. 132-145; Frangopol, D.M., Dong, Y., Sabatino, S., Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-making (2017) Struct Infrastruct Eng, 13 (10), pp. 1239-1257; Orcesi, A.D., Frangopol, D.M., Bridge performance monitoring based on traffic data (2013) J Eng Mech, 139 (11), pp. 1508-1520","Ballio, F.; Department of Civil and Environmental Engineering, Italy; email: francesco.ballio@polimi.it",,,"John Wiley and Sons Ltd",,,,,15452255,,,,"English","J. Struct. Control Health Monit.",Article,"Final","All Open Access, Green",Scopus,2-s2.0-85052402887
"Limongelli M.P., Dolce M., Spina D., Guéguen P., Langlais M., Wolinieck D., Maufroy E., Karakostas C.Z., Lekidis V.A., Morfidis K., Salonikios T., Rovithis E., Makra K., Masciotta M.G., Lourenço P.B.","6508014623;6603674721;56419590200;6603702260;37069392700;57208622765;23489380100;6602144886;35575837600;10340894800;6508230125;25959357300;6508028960;53866842200;7004615647;","S 2 HM in some European countries",2019,"Springer Tracts in Civil Engineering",,,,"303","343",,8,"10.1007/978-3-030-13976-6_13","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065310550&doi=10.1007%2f978-3-030-13976-6_13&partnerID=40&md5=117587a1efe80b730dfbb64abe516484","Politecnico di Milano, Department Architecture, Built Environment and Construction Engineering, Piazza Leonardo da Vinci 32, Milan, 20133, Italy; Department of Civil Protection, Via Vitorchiano 2, Rome, 00189, Italy; Institute of Earth Science, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, CS40700, Grenoble Cedex 9, 38058, France; Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Department of Civil Engineering, ISISE, University of Minho, Campus de Azurém, Guimarães, 4800-058, Portugal","Limongelli, M.P., Politecnico di Milano, Department Architecture, Built Environment and Construction Engineering, Piazza Leonardo da Vinci 32, Milan, 20133, Italy; Dolce, M., Department of Civil Protection, Via Vitorchiano 2, Rome, 00189, Italy; Spina, D., Department of Civil Protection, Via Vitorchiano 2, Rome, 00189, Italy; Guéguen, P., Institute of Earth Science, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, CS40700, Grenoble Cedex 9, 38058, France; Langlais, M., Institute of Earth Science, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, CS40700, Grenoble Cedex 9, 38058, France; Wolinieck, D., Institute of Earth Science, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, CS40700, Grenoble Cedex 9, 38058, France; Maufroy, E., Institute of Earth Science, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, CS40700, Grenoble Cedex 9, 38058, France; Karakostas, C.Z., Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Lekidis, V.A., Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Morfidis, K., Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Salonikios, T., Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Rovithis, E., Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Makra, K., Institute of Engineering Seismology and Earthquake Engineering, Research Division of Earthquake Planning and Protection Organization (EPPO-ITSAK), Dassyliou Str., GR55535 Pylaia, Thessaloniki, Greece; Masciotta, M.G., Department of Civil Engineering, ISISE, University of Minho, Campus de Azurém, Guimarães, 4800-058, Portugal; Lourenço, P.B., Department of Civil Engineering, ISISE, University of Minho, Campus de Azurém, Guimarães, 4800-058, Portugal","This paper compiles and describes the national initiatives and projects on Seismic Structural Health Monitoring (S 2 HM) active in a number of European countries. Sensors networks and typical layouts, data processing techniques and policies adopted for the management of alerts are described for the different national programs. The different policies adopted for the access to data are also described. Applications to buildings, bridges or cultural heritage constructions are used to describe in detail the seismic SHM systems installed in Italy, France, Greece and Portugal. © Springer Nature Switzerland AG 2019.","Alerts; Condition assessment; Data processing; Seismic monitoring; Sensors networks",,,,,,"DDT65; Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri, DPC: ANR-11-EQPX-0040, DPC-RELUIS 2017–2018; University of Thessaly","This work was partially funded by the Italian Civil Protection Department within project DPC-RELUIS 2017–2018. RESIF is a national research infrastructure managed by the RESIF Consortium, composed of 18 research institutions and universities in France. RESIF is also supported by a public grant, supervised by the French national research agency (ANR) as part of the “Investissements d’Avenir” programme (reference: ANR-11-EQPX-0040) and the French Ministry for an Ecological and Solidary Transition. RAP national building array programme was launched thanks to funding from the environment ministry, Martinique regional council, Grenoble city council and the Pyrenees regional agency for development (DDT65). During its research efforts, ITSAK have collaborated with various scientists from the Civil Engineering Dpts. of the Aristotle University, the Dpt. of Mechanical and Industrial Engineering, University of Thessaly, Volos, as well as the Municipality of Delta, Thessaloniki, the EL.PE. Oil Company and the Bridge Maintenance Dpt. of Egnatia Odos S.A. Their particular contributions are noted in the respective literature. Many thanks are also due to the Institute’s technical and IT staff, for their invaluable contribution in the instrumentation efforts and the proper maintenance of the electronic equipment.","Acknowledgements This work was partially funded by the Italian Civil Protection Department within project DPC-RELUIS 2017–2018. RESIF is a national research infrastructure managed by the RESIF Consortium, composed of 18 research institutions and universities in France. RESIF is also supported by a public grant, supervised by the French national research agency (ANR) as part of the “Investissements d’Avenir” programme (reference: ANR-11-EQPX-0040) and the French Ministry for an Ecological and Solidary Transition. RAP national building array programme was launched thanks to funding from the environment ministry, Martinique regional council, Grenoble city council and the Pyrenees regional agency for development (DDT65). During its research efforts, ITSAK have collaborated with various scientists from the Civil Engineering Dpts. of the Aristotle University, the Dpt. of Mechanical and Industrial Engineering, University of Thessaly, Volos, as well as the Municipality of Delta, Thessaloniki, the EL.PE. Oil Company and the Bridge Maintenance Dpt. of Egnatia Odos S.A. Their particular contributions are noted in the respective literature. Many thanks are also due to the Institute’s technical and IT staff, for their invaluable contribution in the instrumentation efforts and the proper maintenance of the electronic equipment.","Dolce, M., Ponzo, F.C., Goretti, A., Moroni, C., Giordano, F., de Canio, G., Marnetto R (2008) 3D dynamic test on 2/3 scale masonry buildings retrofitted with different systems (2008) Proceeding of 14Th Word Conference on Earthquake Engineering, , Beijing, China, 12–17 Oct; Valente, C., Spina, D., Nicoletti, M., Dynamic testing and modal identification (2006) Seismic Upgrading of RC Buildings by Advanced Techniques, pp. 9-101. , Mazzolani FM (ed), Monza; Mori, F., Acunzo, G., Fiorini, N., Pagliaroli, A., Spina, D., Dolce, M., The SMAV (Seismic Model from Ambient Vibrations) methodology for the evaluation of the structural operativity of the buildings (in Italian) (2015) Proceedings of the XVI Congresso Nazionale “L’ingegneria Sismica in Italia” (ANIDIS2015), L’Aquila, Italy; Dolce, M., Nicoletti, M., de Sortis, A., Marchesini, S., Spina, D., Talanas, F., Osservatorio sismico delle strutture: The Italian structural seismic monitoring network (2017) Bull Earthq Eng, 15, pp. 621-641; Spina, D., Lamonaca, B.G., Nicoletti, M., Dolce, M., Structural monitoring by Italian department of civil protection and the case of 2009 Abruzzo seismic sequence (2011) Bull Earthq Eng, 9, pp. 325-346; Ceravolo, R., Matta, E., Quattrone, A., Zanotti Fragonara, L., Amplitude dependence of equivalent modal parameters in monitored buildings during earthquake swarms (2017) Earthq Eng Struct Dyn, 46 (14), pp. 2399-2417; Acunzo, G., Gabriele, S., Spina, D., Valente, C., MuDI: A multilevel damage identification platform (2014) Proceedings of the Twelfth International Conference on Computational Structures Technology, , paper 10.123 from CCP: 106. ISBN 978-1-905088-61-4; Rytter, T., (1993) Vibration Based Inspection of Civil Engineering Structure, , PhD dissertation, Department of Building Technology and Structure Engineering, Aalborg University, Denmark; Limongelli, M.P., Modeling of unknown seismic responses of a partially instrumented bridge structure (2004) 13Th World Conference on Earthquake Engineering, , Vancouver, Canada, 1–6 Agosto 2004; Limongelli, M.P., Optimal location of sensors for reconstruction of seismic responses through spline function interpolation (2003) Earthq Eng Struct Dyn, 32, pp. 1055-1074; Papathoma-Köhle, M., Vulnerability curves vs. Vulnerability indicators: Application of an indicator-based methodology for debris-flow hazards (2016) Nat Hazards Earth Syst Sci, 16, pp. 1771-1790; Giordano, P.F., Miraglia, S., Limongelli, M.P., The value of information for the seismic emergency management of a highway bridge (2018) Innovative Industry Workshop, , COST action TU1402, Lisbon, Apr 2018; Péquegnat, C., Guéguen, P., Hatzfeld, D., Langlais, M., The French accelerometric network (RAP) and national data centre (RAP-NDC) (2008) Seismol Res Lett, 79 (1), pp. 79-89. , https://doi.org/10.1785/gssrl.79.1.79; Michel, C., Guéguen, P., El Arem, S., Mazars, J., Kotronis, P., Full scale dynamic response of a RC building under weak seismic motions using earthquake recordings, ambient vibrations and modelling (2010) Earthq Eng Struct Dyn, 39, pp. 419-441; Guéguen, P., Experimental analysis of the seismic response of an isolated building according to different levels of shaking: Example of the Martinique earthquake (2007/11/29) Mw 7.3 (2012) Bull Earthq Eng, 10 (4), pp. 1285-1298; Mikael, A., Guéguen, P., Bard, P.-Y., Roux, P., Langlais, M., Long-term frequency and damping wandering in buildings analysed using the random decrement technique (RDT) (2013) Bull Seism Soc Am, 103 (1), pp. 236-246; Fernández-Lorenzo, G., (2016) From Accelerometric Records to the Dynamic Behavior of Existing Buildings, , PhD dissertation, Université de Nice Sophia Antipolis; Guéguen, P., (2013) Seismic Vulnerability of Structures, p. 368. , Civil engineering and geomechanics series. Wiley, Hoboken, USA and ISTE, London, UK; Guéguen, P., Langlais, M., Garambois, S., Voisin, C., Douste-Bacqué, I., How sensitive are site effects and building response to extreme cold temperature? The case of the Grenoble’s (France) City Hall building (2017) Bull Earthq Eng, 15 (3), pp. 889-906; Larose, E., Carrière, S., Voisin, C., Bottelin, P., Baillet, L., Guéguen, P., Walter, F., Massey, C., Environmental seismology: What can we learn on earth surface processes with ambient noise? 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Greece (2018) Proceedings of the 16Th European Conference on Earthquake Engineering, , paper no. 11167, Thessaloniki, Greece, 18–21 June; Lekidis, V.A., Karakostas, C.Z., Talaslidis, D.G., Dynamic characteristics of the cable-stayed bridge on Evripos channel, Greece (1998) Proceedings of the 11Th European Conference on Earthquake Engineering, , CNIT, Paris, France, 6–11 Sept; Lekidis, V.A., Karakostas, C.Z., Talaslidis, D.G., Instrumentation, measurements and numerical analysis of bridges: An example of the cable-stayed bridge on Evripos channel, Greece (2001) Proceedings of the Advanced NATO Workshop on Strong Motion Instrumentation for Civil Engineering Structures, pp. 481-493. , Erdik M et al, Istanbul, Turkey. Kluwer Academic Publishers; Papadimitriou, C., Karamanos, S.A., Christodoulou, K., Pavlidou, M., Lekidis, V.A., Karakostas, C.Z., Model updating of bridges using vibration measurements (2002) Proceedings of the 12Th European Conference on Earthquake Engineering (12ECEE), , paper no. 485, London, 9–13 Sept; Lekidis, V., Tsakiri, M., Makra, K., Karakostas, C., Klimis, N., Sous, I., Evaluation of dynamic response and local soil effects of the Evripos cable-stayed bridge using multi-sensor monitoring systems (2005) Eng Geol, 79, pp. 43-59; Karakostas, C., Sextos, A., Lekidis, V., Papadopoulos, S., Investigation of the dynamic response of the Evripos cable-stayed bridge in Greece under asynchronous ground motion records (2011) Proceedings of Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2011), , paper no. 486, Corfu, Greece, 25–28 May; Papadopoulos, S., Lekidis, V., Sextos, A., Karakostas C (2013) Assessment of EC8 procedures for the asynchronous excitation of bridges based on numerical analyses and recorded data Proceedings of Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2013), , paper no. 1498, Kos, Greece, 12–14 June 2013; Lekidis, V., Papadopoulos, S., Karakostas, C., Sextos, A., Monitored incoherency patterns of seismic ground motion and dynamic response of a long cable-stayed bridge (2013) Postconference Book Computational Methods in Earthquake Engineering, Vol 2, Chapter 2 in Computational Methods in Applied Sciences, 30, pp. 33-48. , Papadrakakis M, Fragiadakis M, Plevris V, Vol, pp; Sextos, A., Karakostas, C., Lekidis, V., Papadopoulos, S., Multiple support seismic excitation of the Evripos bridge based on free-field and on-structure recordings (2015) Struct Infrastruct Eng, 11 (11), pp. 1510-1523. , https://doi.org/10.1080/15732479.2014.977302; Lekidis, V.A., Karakostas, C.Z., Christodoulou, K., Karamanos, S., Papadimitriou, K., Panetsos, P., Investigation of dynamic response and model updating of instrumented R/C bridges (2004) Proceedings of the 13Th World Conference on Earthquake Engineering (13WCEE), , Vancouver, 1–6 Aug; Ntotsios, E., Karakostas, C., Lekidis, V., Panetsos, P., Nikolaou, I., Papadimitriou, C., Salonikios, T., Structural identification of Egnatia Odos bridges based on ambient and earthquake induced vibrations (2009) Bull Earthq Eng, 7 (2), pp. 485-501; Karamanos, S.A., Papadimitriou, C., Christodoulou, K., Karakostas, C.Z., Lekidis, V.A., Panetsos, P., Multi-objective framework for model updating with application to a four-span concrete bridge (2004) Proceedings of 2Nd European Workshop on Structural Health Monitoring, pp. 195-202. , Boller C, Staszewski WJ, Munich, 7–9 July. DEStech Publications, pp; Pavlidou, M., Christodoulou, K., Gkaras, V., Karamanos, S.A., Papadimitriou, C., Perdikaris, P., Lekidis, V.A., Karakostas, C.Z., Model updating of bridges using vibration measurements (2002) Proceedings of the 1St European Workshop on Structural Health Monitoring (SHM2002), pp. 1107-1114. , Paris, 10–12 July; Karakostas, C., Makarios, T., Lekidis, V., Kappos, A., Evaluation of vulnerability curves for bridges—a case study (2006) Proceedings of the 1St European Conference on Earthquake Engineering and Seismology, , paper no. 1435, Geneva, 3–8 Sept; Makarios, T., Lekidis, V., Kappos, A., Karakostas, C., Mochonas, J., Development of seismic vulnerability curves for a bridge with elastomeric bearings (2007) Proceedings of Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2007), , paper no. 1516, Rethymno, Greece, 13–16 June; Panetsos, P., Lambropoulos, S., Papadimitriou, C., Karamanos, S., Lekidis, V., Karakostas, C., Bridge health monitoring for Egnatia Odos bridge management system (2006) Proceedings of the 3Rd European Workshop on Structural Health Monitoring, , Granada, Spain, 5–7 July; Caetano, E., Cunha, A., Magalhães, F., Moutinho, C., Studies for controlling human-induced vibration of the Pedro e Inês footbridge, Portugal. Part 1: Assessment of dynamic behaviour (2010) Eng Struct, 32, pp. 1069-1081; Martins, N., Caetano, E., Diord, S., Magalhães, F., Cunha, A., Dynamic monitoring of a stadium suspension roof: Wind and temperature influence on modal parameters and structural response (2014) Eng Struct, 59, pp. 80-94; Magalhães, F., Pacheco, J., Cunha, A., Illustrating the relevance of SHM in a case study: The Foz Tua centenary railway bridge (2016) 8Th European Workshop on Structural Health Monitoring, , Bilbao, Spain, 5–8 July; Magalhães, F., Cunha, A., Caetano, E., Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection (2012) Mech Syst Signal Process, 28, pp. 212-228; Ramos, L.F., Marques, L., Lourenço, P.B., de Roeck, G., Campos-Costa, A., Roque, J., Monitoring historical masonry structures with operational modal analysis: Two case studies (2010) Mech Syst Signal Process, 24 (5), pp. 1291-1305; Masciotta, M., Roque, J.C.A., Ramos, L.F., Lourenço, P.B., A multidisciplinary approach to assess the health state of heritage structures: The case study of the Church of Monastery of Jerónimos in Lisbon (2016) Constr Build Mater, 116, pp. 169-187; Masciotta, M., Ramos, L.F., Lourenço, P.B., The importance of structural monitoring as a diagnosis and control tool in the restoration process of heritage structures: A case study in Portugal (2017) J Cult Herit, 27, pp. 36-47; Pereira, S., Magalhães, F., Gomes, J., Cunha, A., Lemos, J.V., Installation and results from the first 6 months of operation of the dynamic monitoring system of Baixo Sabor arch dam (2017) Procedia Eng, 199, pp. 2166-2171; Mesquita, E., Arêde, A., Pinto, N., Antunes, P., Varum, H., Long-term monitoring of a damaged historic structure using a wireless sensor network (2018) Eng Struct, 161, pp. 108-117; Iacovino, C., Ditommaso, R., Ponzo, F.C., Limongelli, M.P., Preliminary analysis of the dynamic behaviour of several structures subjected to the 2016 Central Italy earthquake (2019) Submitted to SEMC 2019, , Cape Town, Sept 2019; Lourenço, P.B., Krakowiak, K.J., Fernandes, F.M., Ramos, L.F., Failure analysis of Monastery of Jerónimos, Lisbon: How to learn from sophisticated numerical models (2007) Eng Fail Anal, 14, pp. 280-300; Oliveira, D.V., Ramos, L.F., Lourenço, P.B., Roque, J.C.A., Structural monitoring of the Monastery of Jerónimos (2005) International Conference on the 250Th Anniversary of the 1755 Lisbon Earthquake, pp. 466-473. , Lisbon, pp; Peeters, B., de Roeck, G., Reference-based stochastic subspace identification for output-only modal analysis (1999) Mech Syst Signal Process, 13 (6), pp. 855-878; Paquette, J., Bruneau, M., Pseudo-dynamic testing of unreinforced masonry building with flexible diaphragm and comparison with existing procedures (2006) Constr Build Mater, 20 (4), pp. 220-228","Limongelli, M.P.; Politecnico di Milano, Piazza Leonardo da Vinci 32, Italy; email: mariagiuseppina.limongelli@polimi.it",,,"Springer",,,,,2366259X,,,,"English","Springer Tracts Civ. Eng.",Book Chapter,"Final","All Open Access, Green",Scopus,2-s2.0-85065310550
"Döhler M., Hille F., Mevel L.","39361406400;12781114000;6701755315;","Vibration-based monitoring of civil structures with subspace-based damage detection",2018,"Intelligent Systems, Control and Automation: Science and Engineering","92",,,"307","326",,6,"10.1007/978-3-319-68646-2_14","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072298002&doi=10.1007%2f978-3-319-68646-2_14&partnerID=40&md5=5d20fad8cbc79076ee0af5be3a751566","Inria, I4S/IFSTTAR, COSYS, SII, Campus Universitaire de Beaulieu, Rennes, 35042, France; BAM Federal Institute of Materials Research and Testing, Unter den Eichen 87, Berlin, 12205, Germany","Döhler, M., Inria, I4S/IFSTTAR, COSYS, SII, Campus Universitaire de Beaulieu, Rennes, 35042, France; Hille, F., BAM Federal Institute of Materials Research and Testing, Unter den Eichen 87, Berlin, 12205, Germany; Mevel, L., Inria, I4S/IFSTTAR, COSYS, SII, Campus Universitaire de Beaulieu, Rennes, 35042, France","Automatic vibration-based structural health monitoring has been recognized as a useful alternative or addition to visual inspections or local non-destructive testing performed manually. It is, in particular, suitable for mechanical and aeronautical structures as well as on civil structures, including cultural heritage sites. The main challenge is to provide a robust damage diagnosis from the recorded vibration measurements, for which statistical signal processing methods are required. In this chapter, a damage detection method is presented that compares vibration measurements from the current system to a reference state in a hypothesis test, where data-related uncertainties are taken into account. The computation of the test statistic on new measurements is straightforward and does not require a separate modal identification. The performance of the method is firstly shown on a steel frame structure in a laboratory experiment. Secondly, the application on real measurements on S101 Bridge is shown during a progressive damage test, where damage was successfully detected for different damage scenarios. © Springer International Publishing AG 2018.","Damage detection; Statistical tests; Structural health monitoring; Subspace methods; Vibrations",,,,,,,"We thank Dr. Helmut Wenzel, VCE, and the FP7 IRIS project for providing the data from S101 Bridge.",,"Balmès, E., Basseville, M., Bourquin, F., Mevel, L., Nasser, H., Treyssède, F., Merging sensor data from multiple temperature scenarios for vibration-based monitoring of civil structures (2008) Struct Health Monitor, 7 (2), pp. 129-142; Balmès, E., Basseville, M., Mevel, L., Nasser, H., Handling the temperature effect in vibration-based monitoring of civil structures: A combined subspace-based and nuisance rejection approach (2009) Control Eng Pract, 17 (1), pp. 80-87; Balmès, E., Basseville, M., Mevel, L., Nasser, H., Zhou, W., Statistical model-based damage localization: A combined subspace-based and substructuring approach (2008) Struct Control Health Monitor, 15 (6), pp. 857-875; Basseville, M., Abdelghani, M., Benveniste, A., Subspace-based fault detection algorithms for vibration monitoring (2000) Automatica, 36 (1), pp. 101-109; Basseville, M., Bourquin, F., Mevel, L., Nasser, H., Treyssède, F., Handling the temperature effect in vibration monitoring: Two subspace-based analytical approaches (2010) J Eng Mech, 136 (3), pp. 367-378; Basseville, M., Mevel, L., Goursat, M., Statistical model-based damage detection and localization: Subspace-based residuals and damage-to-noise sensitivity ratios (2004) J Sound Vibration, 275 (3), pp. 769-794; Bernal, D., Kalman filter damage detection in the presence of changing process and measurement noise (2013) Mech Syst Signal Process, 39 (1-2), pp. 361-371; Brownjohn, J., de Stefano, A., Xu, Y., Wenzel, H., Aktan, A., Vibration-based monitoring of civil infrastructure: Challenges and successes (2011) J Civil Struct Health Monitor, 1 (3), pp. 79-95; Carden, E., Fanning, P., Vibration based condition monitoring: A review (2004) Struct Health Monitor, 3 (4), pp. 355-377; Döhler, M., Hille, F., Subspace-based damage detection on steel frame structure under changing excitation (2014) Proceedings of 32Nd International Modal Analysis Conference, , Orlando, FL, USA; Döhler, M., Hille, F., Mevel, L., Rücker, W., Structural health monitoring with statistical methods during progressive damage test of S101 Bridge (2014) Eng Struct, 69, pp. 183-193; Döhler, M., Mevel, L., Subspace-based fault detection robust to changes in the noise covari-ances (2013) Automatica, 49 (9), pp. 2734-2743; Döhler, M., Mevel, L., Hille, F., Subspace-based damage detection under changes in the ambient excitation statistics (2014) Mech Syst Signal Process, 45 (1), pp. 207-224; Döhler, M., Mevel, L., Zhang, Q., Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis (2016) Ann Rev Control, 42, pp. 244-256; Fan, W., Qiao, P., Vibration-based damage identification methods: A review and comparative study (2011) Struct Health Monitor, 10 (1), pp. 83-111; Farrar, C., Worden, K., An introduction to structural health monitoring (2007) Philoso Trans Royal Soc a Math Phys Eng Sci, 365 (1851), pp. 303-315; Hille, F., Petryna, Y., Rücker, W., Subspace-based detection of fatigue damage on a steel frame laboratory structure for offshore applications (2014) Proceedings of the 9Th International Conference on Structural Dynamics, EURODYN, 2014. , Porto, Portugal, July 2014; Juang, J.N., (1994) Applied System Identification, , Prentice Hall, Englewood Cliffs, NJ, USA; Kullaa, J., Damage detection of the Z24 Bridge using control charts (2003) Mech Syst Signal Process, 17 (1), pp. 163-170; Ramos, L., Marques, L., Lourenço, P., de Roeck, G., Campos-Costa, A., Roque, J., Monitoring historical masonry structures with operational modal analysis: Two case studies (2010) Mech Syst Signal Process, 24 (5), pp. 1291-1305; Rytter, A., (1993) Vibrational Based Inspection of Civil Engineering Structures, , Ph.D. thesis, Aal-borg University, Denmark; (2015), www.svibs.com; (2009) Progressive Damage Test S101 Flyover Reibersdorf/Draft, , Tech. Rep. 08/2308, VCE; Worden, K., Manson, G., Fieller, N., Damage detection using outlier analysis (2000) Jsound Vibr, 229 (3), pp. 647-667; Yan, A., de Boe, P., Golinval, J., Structural damage diagnosis by Kalman model based on stochastic subspace identification (2004) Struct Health Monitor, 3 (2), pp. 103-119","Döhler, M.; Inria, France; email: michael.doehler@inria.fr",,,"Springer Netherlands",,,,,22138986,,,,"English","Intelligent Syst. Control Autom. Sci. Eng.",Article,"Final","All Open Access, Green",Scopus,2-s2.0-85072298002
"Wang X., Niederleithinger E., Hindersmann I.","57206604163;6504803454;56189625000;","The installation of embedded ultrasonic transducers inside a bridge to monitor temperature and load influence using coda wave interferometry technique",2022,"Structural Health Monitoring","21","3",,"913","927",,5,"10.1177/14759217211014430","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106323565&doi=10.1177%2f14759217211014430&partnerID=40&md5=0e21d5c73c4cb2d609737d783611486e","Department of Non-Destructive Testing (NDT) Methods for Civil Engineering, German Federal Institute for Materials Research and Testing (BAM), Berlin, Germany; German Federal Highway Research Institute (BASt), Bergisch Gladbach, Germany","Wang, X., Department of Non-Destructive Testing (NDT) Methods for Civil Engineering, German Federal Institute for Materials Research and Testing (BAM), Berlin, Germany; Niederleithinger, E., Department of Non-Destructive Testing (NDT) Methods for Civil Engineering, German Federal Institute for Materials Research and Testing (BAM), Berlin, Germany; Hindersmann, I., German Federal Highway Research Institute (BASt), Bergisch Gladbach, Germany","This article presents a unique method of installing a special type of embedded ultrasonic transducers inside a 36-m-long section of an old bridge in Germany. A small-scale load test was carried out by a 16 ton truck to study the temperature and load influence on the bridge, as well as the performance of the embedded transducers. Ultrasonic coda wave interferometry technique, which has high sensitivity in detecting subtle changes in a heterogeneous medium, was used for the data evaluation and interpretation. The separation of two main influence factors (load effect and temperature variation) is studied, and future applications of wave velocity variation rate (Formula presented.) for structural health condition estimation are discussed. As a preliminary research stage, the installation method and the performance of the ultrasonic transducer are recognized. Load- and temperature-induced weak wave velocity variations are successfully detected with a high resolution of 10−4%. The feasibility of the whole system for long-term structural health monitoring is considered, and further research is planned. © The Author(s) 2021.","bridge; coda wave interferometry; embedded transducer; Structural health monitoring; ultrasound","Acoustic wave velocity; Interferometry; Load testing; Structural health monitoring; Ultrasonic testing; Wave propagation; Coda wave interferometry; Coda waves; Embedded transducers; High sensitivity; Interferometry technique; Performance; Small scale; Velocity variations; Wave interferometry; Wave velocity; Ultrasonic transducers",,,,,"Horizon 2020 Framework Programme, H2020: 676139; Bundesanstalt für Straßenwesen, BASt","This research object was supported by BASt (German Federal Highway Research Institute). Thank you Mr. Peter Haardt and Mrs. Iris Hindersmann from BASt for providing me with convenience. Thank you Mr. Marco Lange and Mr. Heiko Stolpe from BAM for helping me install the transducers. Thank you Daniel Fontoura Barroso for developing the thermistor data acquisition module.","The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research work was performed within the European project INFRASTAR, Innovation and Networking for Fatigue and Reliability Analysis of Structures-Training for Assessment of Risk (infrastar.eu), which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant No. 676139.","Rehman, S.K.U., Ibrahim, Z., Memon, S.A., Nondestructive test methods for concrete bridges: a review (2016) Constr Build Mater, 107, pp. 58-86; Cawley, P., Structural health monitoring: closing the gap between research and industrial deployment (2018) Struct Health Monit, 17 (5), pp. 1225-1244; Kromanis, R., Kripakaran, P., SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach (2016) J Civ Struct Health Monit, 6 (2), pp. 237-254; 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L21302; Stähler, S.C., Sens-Schönfelder, C., Niederleithinger, E., Monitoring stress changes in a concrete bridge with coda wave interferometry (2011) J Acoust Soc Am, 129 (4), pp. 1945-1952; Wang, X., Niederleithinger, E., Coda wave interferometry used to detect loads and cracks in a concrete structure under field conditions, pp. 10-13. , Proceedings of the 9th European workshop on structural health monitoring series, Manchester, 10–13 July 2018, Berlin, Federal Institute for Materials Research and Testing, In; Niederleithinger, E., Wunderlich, C., Influence of small temperature variations on the ultrasonic velocity in concrete (2013) AIP Conf Proc, 1511, pp. 390-397; Livings, R., Dayal, V., Barnard, D., Coda wave interferometry for the measurement of thermally induced ultrasonic velocity variations in CFRP laminates (2016) AIP Conf Proc, 1706, p. 120003; Zhang, Y., Abraham, O., Tournat, V., Validation of a thermal bias control technique for coda wave interferometry (CWI) (2013) Ultrasonics, 53 (3), pp. 658-664; Legland, J., Abraham, O., Villain, G., Suivi du gradient de teneur en eau dans les bétons par modulation non linéaire de la coda ultrasonore (2016) Proceedings of the CFA, , https://www.researchgate.net/publication/301301719_Suivi_du_gradient_de_teneur_en_eau_dans_les_betons_par_modulation_non_lineaire_de_la_coda_ultrasonore, In; Schurr, D.P., Kim, J.Y., Sabra, K.G., Damage detection in concrete using coda wave interferometry (2011) NDT&E Int, 44 (8), pp. 728-735; Zhang, Y., Planes, T., Larose, E., Diffuse ultrasound monitoring of stress and damage development on a 15-ton concrete beam (2016) J Acoust Soc Am, 139 (4), pp. 1691-1701; Larose, E., Obermann, A., Digulescu, A., Locating and characterizing a crack in concrete with diffuse ultrasound: a four-point bending test (2015) J Acoust Soc Am, 138 (1), pp. 232-241; Güneyli, H., Karahan, S., Güneyli, A., Water content and temperature effect on ultrasonic pulse velocity of concrete (2017) Russ J Nondestruct Test, 53 (2), pp. 159-166; Larose, E., de Rosny, J., Margerin, L., Observation of multiple scattering of kHz vibrations in a concrete structure and application to monitoring weak changes (2006) Phys Rev E, 73 (1), p. 016609; Fröjd, P., Ulriksen, P., Frequency selection for coda wave interferometry in concrete structures (2017) Ultrasonics, 80, pp. 1-8; Wang, X., Chakraborty, J., Niederleithinger, E., Noise reduction for improvement of ultrasonic monitoring using coda wave interferometry on a real bridge (2021) J Nondestruct Eval, 40, p. 14; Epple, N., Barroso, D.F., Niederleithinger, E., Towards monitoring of concrete structures with embedded ultrasound sensors and coda waves—first results of DFG for CoDA, , Proceedings of the European workshop on structural health monitoring (EWSHM 2020), Palermo, 6–9 July 2020, In","Wang, X.; Department of Non-Destructive Testing (NDT) Methods for Civil Engineering, Germany; email: wasim.wang@qq.com",,,"SAGE Publications Ltd",,,,,14759217,,,,"English","Struct. Health Monit.",Article,"Final","All Open Access, Hybrid Gold",Scopus,2-s2.0-85106323565
"Krstevska L., Nikolić Ž., Kustura M.","24401503100;7006320511;57217255549;","Shake Table Testing of Two Historical Masonry Structures for Estimation of Their Seismic Stability",2021,"International Journal of Architectural Heritage","15","1",,"45","63",,4,"10.1080/15583058.2020.1779870","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086907674&doi=10.1080%2f15583058.2020.1779870&partnerID=40&md5=341955ea2dd24a4270aaf817cd65767e","University St. Cyril and Methodius, Institute of Earthquake Engineering and Engineering Seismology, Skopje, North Macedonia; Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Split, Croatia; Faculty of Civil Engineering, University of Mostar, Mostar, Bosnia and Herzegovina","Krstevska, L., University St. Cyril and Methodius, Institute of Earthquake Engineering and Engineering Seismology, Skopje, North Macedonia; Nikolić, Ž., Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Split, Croatia; Kustura, M., Faculty of Civil Engineering, University of Mostar, Mostar, Bosnia and Herzegovina","Reliable estimation of seismic stability of structures built in seismically active regions is an objective that requires a complex investigation and different types of activities. For historical structures and monuments, this requirement is even more essential, because many of them represent unique heritage structures. In-situ testing of a monument for defining dynamic characteristics and seismic testing of scaled models represent the recommended activities to be considered as mandatory. Shake table testing of a scaled monument model provides valuable information about its seismic stability–weak parts and development of failure mechanism–as well as the crucial points of the structure that should be considered when designing the health monitoring system. This paper presents the results obtained by the shake table testing of scaled models of two historical masonry structures: the Old Bridge in Mostar and the ancient Protiron structure in Split. The monitored seismic response presented herein by the measured accelerations, relative and absolute displacements, and strains, as well as the damage identification during the shake table tests, provided essential information about their seismic stability, failure mechanism, and weak points. The obtained results have been used for verification of the analytical models for these two monuments, while the prospective of the conclusions derived from the tests has a possible implementation in planning their health monitoring system. © 2020 Taylor & Francis.","Failure mechanism; historical structures; seismic response; shake table testing of scaled models","Damage detection; Masonry materials; Monitoring; Seismology; Stability; Structural health monitoring; Structures (built objects); Well testing; Absolute displacement; Damage Identification; Dynamic characteristics; Health monitoring system; Heritage structures; Historical structures; Seismically active region; Shake table testing; Failure (mechanical); estimation method; health monitoring; identification method; in situ test; masonry; monument; seismic response; shaking table test; Bosnia and Herzegovina; Croatia; Mostar; Split",,,,,,,,"Ambraseys, N., Psycharis, I.N., Earthquake stability of columns and statues (2011) Journal of Earthquake Engineering, 15 (5), pp. 685-710; Čolak, I., (2016) The reconstruction of the old bridge in mostar, chapter 14 in DAAAM international scientific book, pp. 151-162. , Vienna, Austria: DAAAM International, 978-3-902734-09-9, 1726-9687; Dasiou, M.E., Mouzakis, H.P., Psycharis, I.N., Papantonopoulos, C., Vayas, I., Experimental investigation of the seismic response of parts of ancient temples (2009) Protection of historical buildings, prohitech 09, pp. 1617-1622. , Rome: June, 21–24, and; De Matteis, G., Mazzolani, F.M., The Fossanova church: Seismic vulnerability assessment by numeric and physical testing (2010) International Journal of Architectural Heritage, 4 (3), pp. 222-245; Drosos, V., Anastasopoulos, I., Shaking table testing of multidrum columns and portals (2014) Earthquake Engineering and Structural Dynamics, 43 (11), pp. 1703-1723; Čelić, D., Mujezinović, M., (1998) Stari mostovi u Bosni i Hercegovini, , Sarajevo; Gojković, M., (1982) Stari kameni mostovi, , Naučna knjiga Beograd, Beograd; Hojdys, L., Kamiński, T., Krajewski, P., Experimental and numerical simulation of collapse of masonry arches (2013) 7th International conference on arche bridges, , Trogir-Split, Croatia: October, 2–4, and,. In; Krstevska, L., Mihailov, V., Boschi, E., Ravelli, A., Experimental dynamic testing of prototype and model of the Antonina column in Roma (1996) Proceedins of 11th world international conference on earthquake engineering, p. 546. , Acapulco, Mexico:, and,. In; Krstevska, L., Soklarovski, L., Seismic testing of the Protiron (Split, Croatia) structure model (2016) Report No. IZIIS-2016-49, , Institute of Earthquake Engineering and Engineering Seismology, Skopje: (in Croatian; Krstevska, L., Tashkov, L., Gramatikov, K., Landolfo, R., Mammana, O., Portioli, F., Mazzolani, F., Shaking table tests on the large scale model of Mustafa Pasha Mosque without and with FRP (2008) Proceedings of 6th international conference on structural analysis of historic construction - SAHC2008, pp. 383-391. , Bath, UK:, and; Kustura, M., Investigation of seismic behavior of stone arch bridges including the effect of connection elements (2018) Dissertation, , Skopje; Lourenço, P.B., Computations on historic masonry structures (2002) Progress in Structural Engineering and Materials, 4 (3), pp. 301-319; Rak, M., Duvnjak, I., Krolo, J., Meštrović, M., Report of measurement forces in copper clamps on protiron–peristil Diocletian’s palace in split. Zagreb: Faculty of civil engineering (2012) Report 180-12/2012, , University of Zagreb, (in Croatian), and, Zagreb, Croatia; Šaravanja, K., Matošević Čolić, M., Bevanda, I., A short review of quality control during rehabilitation of the old bridge in Mostar (2004) European conference on raw materials and coals–new perspectives, , Sarajevo: 20–22, and,. May; Smoljanović, H., Nikolić, Z., Živaljić, N., A finite-discrete element model for dry stone masonry structures strengthened with steel clamps and bolts (2015) Engineering Structures, 90, pp. 117-129; Smoljanović, H., Živaljić, N., Nikolić, Ž., Munjiza, A., Numerical analysis of 3D dry-stone masonry structures by combined finite-discrete element method (2018) International Journal of Solids and Structures, 136-137, pp. 150-167; Tashkov, L., Krstevska, L., (2014) Seismic shake-table testing of base-isolated structures–IZIIS experience. Second European conference on earthquake engineering and seismology, , Istanbul; Tashkov, L., Krstevska, L., Gramatikov, K., Mazzolani, F.M., Shake-table test of the model of St. Nicolas Byzantine church in reduced scale 1/3.5 (2009) International conference on protection of historical buildings, , PROHITECH 09, Rome, Italy:, and,. In; Nikolić, Z., Krstevska, L., Marović, P., Smoljanović, H., Experimental investigation of seismic behavior of the ancient Protiron monument model (2019) Earthquake Engineering & Structural Dynamics, 48 (6), pp. 573-593; Nikolić, Z., Krstevska, L., Smoljanović, H., Živaljić, N., Modelling of the influence of metal connectors on the resistance of historical dry-stone masonry structures (2019) International Journal of Architectural Heritage; Nikolić, Z., Smoljanović, H., Živaljić, N., Numerical modelling of dry stone masonry structures based on finite-discrete element method (2016) International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering, 10 (8), pp. 1032-1040","Krstevska, L.; University St. Cyril and Methodius, Todor Aleksandrov 165, North Macedonia; email: lidija@iziis.ukim.edu.mk",,,"Bellwether Publishing, Ltd.",,,,,15583058,,,,"English","Int. J. Archit. Herit.",Article,"Final","",Scopus,2-s2.0-85086907674
"Clemente C.S., Davino D., Loschiavo V.P.","57014680600;6603025504;55904760700;","Energy balance of a continuous structural health monitoring system based on energy harvesting",2020,"IOP Conference Series: Materials Science and Engineering","949","1","012013","","",,4,"10.1088/1757-899X/949/1/012013","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096847292&doi=10.1088%2f1757-899X%2f949%2f1%2f012013&partnerID=40&md5=fba0296fd36e63127f79a93832fb7683","Department of Energy, Systems,, Territory and Constructions Engineering, University ofPisa, Pisa, 56122, Italy; Department of Engineering, University of Sannio, Benevento, 82100, Italy","Clemente, C.S., Department of Energy, Systems,, Territory and Constructions Engineering, University ofPisa, Pisa, 56122, Italy; Davino, D., Department of Engineering, University of Sannio, Benevento, 82100, Italy; Loschiavo, V.P., Department of Engineering, University of Sannio, Benevento, 82100, Italy","The Structural Health Monitoring (SHM) may be a relevant technique to monitor historical buildings, masonry, bridges, etc. It becomes even more important if it can be applied in a continuous way, once incorporated in a Wireless Sensor Network (WSN), being able to provide data in an automatic and endless mode without any human intervention. Of course, WSN needs a power source, a role prevalently held by batteries. However, this solution has several issues: it is not eco-friendly and needs a periodic replacement hence increasing costs and reducing the SHM spread. The Energy Harvesting (EH) is a very promising technique to supply WSN. It converts the environmental energy into electrical energy allowing its local accumulation, within the sensor node, in supercapacitor or rechargeable batteries. Anthropic environments are plenty of energy (photovoltaic, kinetic, etc) but this is a non-continuous source and then an energy balance could highlight the suitability of an EH solution. This work is aimed to present a clear picture of EH for SHM by considering all the previous elements in the context of cultural heritage. The result is the definition of specific applications in which those WSNs, based on EH, could be competitive with respect to more traditional technologies. © 2020 Institute of Physics Publishing. All rights reserved.",,,,,,,,,,"Balageas, D, Fritzen, C P, Güemes, A, (2010) Structural Health Monitoring, , (eds) (Wiley-ISTE); Chang, P, Flatau, A, Liu, S, Structural Health Monitoring (2003) An International Journal, 2, pp. 257-267; Chang, F K, Markmiller, J F C, Yang, J, Kim, Y, (2011) Structural health monitoring System Health Management: With Aerospace Applications, pp. 419-428. , (John Wiley & Sons, Ltd); Maiwa, H, (2016) Piezoelectric energy harvesting Piezoelectric Materials ed Ogawa T, , (Rijeka: IntechOpen) chap 06; Najafi, K, Galchev, T, Aktakka, E, Peterson, R, McCullagh, J, Microsystems for energy harvesting 2011 16th International Solid-State Sensors (2011) Actuators and Microsystems Conference (IEEE), pp. 1845-1850; Beeby, S, (2011) Energy Harvesting Systems, , Ka´zmierski T J and (eds) (New York: Springer); Clemente, C S, Davino, D, Visone, C, (2017) IEEE Transactions on Magnetics, 53, pp. 1-4; Davino, D, Pecce, M, Visone, C, Clemente, C, Ielardi, A, (2015) Dynamic monitoring of guardrails: Approach to a low-cost system 2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings (IEEE); Shaikh, F K, Zeadally, S, (2016) Renewable and Sustainable Energy Reviews, 55, pp. 1041-1054; https://www.ti.com, Texas Instruments MSP430 datasheet [Online]. 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Ser. Mater. Sci. Eng.",Conference Paper,"Final","All Open Access, Gold",Scopus,2-s2.0-85096847292
"Fabbrocino G., Savini F., Marra A., Trizio I.","6603343935;55258119500;56712423900;57194378461;","Virtual Investigation of Masonry Arch Bridges: Digital Procedures for Inspection, Diagnostics, and Data Management",2022,"Lecture Notes in Civil Engineering","200 LNCE",,,"979","987",,3,"10.1007/978-3-030-91877-4_112","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121924857&doi=10.1007%2f978-3-030-91877-4_112&partnerID=40&md5=1e7ec12b6e7f30b4e72e3c286523c66e","ITC-CNR, Institute for Construction Technologies, Italian National Research Council, L’Aquila, 67100, Italy; Department of Biosciencesss and Territory, University of Molise, Campobasso, 86100, Italy","Fabbrocino, G., ITC-CNR, Institute for Construction Technologies, Italian National Research Council, L’Aquila, 67100, Italy, Department of Biosciencesss and Territory, University of Molise, Campobasso, 86100, Italy; Savini, F., ITC-CNR, Institute for Construction Technologies, Italian National Research Council, L’Aquila, 67100, Italy; Marra, A., ITC-CNR, Institute for Construction Technologies, Italian National Research Council, L’Aquila, 67100, Italy; Trizio, I., ITC-CNR, Institute for Construction Technologies, Italian National Research Council, L’Aquila, 67100, Italy","The Italian road and rail networks are characterised by the widespread presence of artworks, such as bridges, tunnels and viaducts, built in different historical periods. Among these, masonry arch bridges are very common and still play a functional role since they are part of roads still in use. Historic masonry bridges have been modified over the centuries due to changing needs of transport, often through specific adjustments such as widening the carriageway or resurfacing pavement road with modern materials and, in some cases, reinforcing the structures. These historic structures, although adequate, respond to different stresses, mainly related to the increase in load compared to the time of their design and construction. For this reason, it is necessary to implement actions aimed at the maintenance and safety of these structures through constant monitoring of the state of health, not only with the sensors but also with visual inspections repeated over time. In order to facilitate the analysis operations and to link the different expertise involved in the multidisciplinary knowledge process, it is important to define operational procedures and tools that are able to manage the vast historical infrastructural heritage of our territory. A virtual system, integrating digital tools and online repositories, has been set up to promote visual inspection operations for assessing the current state of the artefacts and ensuring data management by making it accessible to professionals and stakeholders involved in the intervention planning for maintenance and conservation. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.","Cultural heritage; Diagnostic and monitoring; Masonry arch bridges; Virtual environment; Visual inspection","Arch bridges; Arches; Digital devices; Highway administration; Information management; Inspection; Masonry bridges; Masonry materials; Roads and streets; Structural health monitoring; Carriageways; Changing needs; Cultural heritages; Diagnostic and monitoring; Historic masonry; Historical periods; Masonry arch bridges; Rail networks; Road network; Visual inspection; Virtual reality",,,,,,,,"Boje, C., Guerriero, A., Kubicki, S., Rezgui, B., Towards a semantic construction digital twin: Directions for future research (2020) Autom Constr, 114; Marra, A., Trizio, I., Fabbrocino, G., Digital tools for the knowledge and safeguard of historical heritage (2021) Civil Structural Health Monitoring. CSHM 2021. Lecture Notes in Civil Engineering, 156, pp. 645-662. , https://doi.org/10.1007/978-3-030-74258-4_41, Rainieri C, Fabbrocino G, Caterino N, Ceroni F, Notarangelo MA, vol, Springer, Cham, pp; Marra, A., Trizio, I., Savini, F., Ruggieri, A., Fabbrocino, G., Una procedura per l’Historic Digital Twin (HDT) dei ponti ad arco in muratura/ A procedure for Heritage Digital Twin (HDT) of masonry arch bridges (2021) 3D Modelling E BIM 2021 – Digital Twin. DEI Srl Tipografia Del Genio Civile, pp. 358-373. , Empler T, Caldarone A, Fusinetti A, Roma, pp; Trizio, I., Savini, F., Ruggieri, A., Archaeology of the architecture and digital representation: Procedures and instruments between connections and intersections (2020) Connecting Drawing for Weaving Relationships, pp. 2821-2842. , Arena A, Arena M, Brandolino RG, Colistra D, Ginex G, Mediati D, Nucifora S, Raffa P, FrancoAngeli, Milano, pp; Trizio, I., Savini, F., Giannangeli, A., Fiore, S., Marra, A., Fabbrocino, G., Ruggieri, A., Versatile Tools: Digital survey and virtual reality for documentation, analysis and fruition of cultural heritage in seismic areas (2019) Int Arch Photogramm Remote Sens Spatial Inf Sci, 42, pp. 377-384. , pp; Trizio, I., Savini, F., Marra, A., Ruggieri, A., The Virtual Tour as a digital tool for linking the disciplines of the drawing and the archaeology of buildings (2021) Diségno, 8, pp. 157-168; Trizio I, Savini F, Ruggieri A, Fabbrocino G (2021) Digital environment for remote visual inspection and condition assessment of architectural heritage. In: Rainieri C, Fabbrocino G, Caterino N, Ceroni F, Notarangelo MA (eds) Civil Structural Health Monitoring. CSHM 2021. Lecture Notes in Civil Engineering, vol 156. Springer, Cham, pp 869–888. https://doi. org/10.1007/978-3-030-74258-4_55; Pinto, L., Bianchini, F., Nova, V., Passoni, D., Low-cost UAS photogrammetry for road infrastructures’ inspection (2020) Int Arch Photogramm Remote Sens Spatial Inf Sci, 43, pp. 1145-1150. , pp; Zollini, S., Alicandro, M., Dominici, D., Quaresima, R., Giallonardo, M., UAV photogrammetry for concrete bridge inspection using object-based image analysis (OBIA) (2020) Remote Sensing, 12 (19), p. 3180; de Fino, M., Ceppi, C., Fatiguso, F., Virtual tours and informational models for improving territorial attractiveness and the smart management of architectural heritage: The 3D-IMPACT project (2020) Int Arch Photogramm Remote Sens Spatial Inf Sci, 44, pp. 473-480. , pp; Mah, O.B.P., Generating a virtual tour for the preservation of the (In)tangible cultural heritage of Tampines Chinese temple in Singapore (2019) J Cult Herit, 39, pp. 202-211; Bruno, F., Virtual diving in the underwater archaeological site of Cala Minnola (2017) Int Arch Photogramm Remote Sens Spatial Inf Sci, 42, pp. 121-126. , pp; Trizio, I., Savini, F., de Gasperis, G., Cordisco, A., Siti perduti e inaccessibili: L’interpretazione del patrimonio attraverso applicazioni di realtà virtuale (2018) Rappresentazione Materiale/Immateriale Drawingas (In)Tangible Representation, pp. 831-836. , Salerno R, Gangemi Editore, Roma, pp; Trizio, I., Savini, F., de Gasperis, G., Cordisco, A., Fiore, S., La navigazione VR di un’opera d’arte per la narrazione di una fabbrico storica/VR navigation of a work of art for the tale of a historical building (2019) Riflessioni L’arte Del Disegno/Il Disegno dell’arte. Reflections. the Art of Drawing/The Drawing of Art, pp. 1767-1774. , Belardi P, Gangemi Editore, Roma, pp; Banfi F (2020) HBIM, 3D drawing and virtual reality for archaeological sites and ancient ruins Virtual Archaeol Rev, 1; Lee, J., Kim, J., Ahn, J., Woo, W., Context-aware risk management for architectural heritage using historic building information modeling and virtual reality (2019) J Cult Herit, 38, pp. 242-252; Napolitano, R.K., Scherer, G., Glisic, B., Virtual tours and informational modeling for conservation of cultural heritage sites (2018) J Cult Herit, 29, pp. 123-129; Napolitano, R., Blyth, A., Glisic, B., Virtual environments for visualizing structural health monitoring sensor networks, data, and metadata (2018) Sensors, 18, p. 243; Blyth, A., Napolitano, R., Glisic, B., Documentation, structural health monitoring, and numerical modeling for damage assessment of the Morris island lighthouse under environmental loading (2019) Philos Trans R Soc; de Fino, M., Galantucci, R.A., Fatiguso, F., Remote diagnosis and control of heritage architecture by photorealistic digital environments and models (2019) Sciresit, 9 (2), pp. 1-16; Omer, M., Margetts, L., Mosleh, M.-H., Hewitt, S., Parwaiz, M., Use of gaming technology to bring bridge inspection to the office (2019) Struct Infrastruct Eng, 15 (10), pp. 1292-1307; Banfi, F., Previtali, M., Brumana, R., Towards the development of a cloud-based BIM platform and VR apps for complex heritage sites subject to the risk of flood and water level changes (2020) IOP Conf Ser.: Mater. Sci. Eng., 949. , https://doi.org/10.1088/1757-899X/949/1/012105; Banfi, F., Barazzetti, L., Previtali, M., Roncoroni, F., Historic BIM: A new repository for structural health monitoring (2017) Int Arch Photogramm Remote Sens Spat Inf Sci, 42, pp. 269-274; Savini, F., Rainieri, C., Fabbrocino, G., Trizio, I., Applications of stratigraphic analysis to enhance the inspection and structural characterization of historic bridges (2021) Infrastructures, 6 (1), p. 7. , https://doi.org/10.3390/infrastructures6010007; Jouan, P., Hallot, P., Digital twin: Research framework to support preventive conservation policies (2020) ISPRS Int J Geo-Inf, 9, p. 228; Rischio, L.G.P.L.C.E.G., Esistenti, L.V.D.S.E.I.M.D.P., (2020) Approvate dall’Assemblea Generale Del Consiglio Superiore Dei Lavori Pubblici in Data, 17","Marra, A.; ITC-CNR, Italy; email: marra@itc.cnr.it","Pellegrino C.Faleschini F.Zanini M.A.Matos J.C.Casas J.R.Strauss A.",,"Springer Science and Business Media Deutschland GmbH","1st Conference of the European Association on Quality Control of Bridges and Structures, EUROSTRUCT 2021","29 August 2021 through 1 September 2021",,269849,23662557,9783030918767,,,"English","Lect. Notes Civ. Eng.",Conference Paper,"Final","",Scopus,2-s2.0-85121924857
"Gagliardi V., Ciampoli L.B., D’Amico F., Alani A.M., Tosti F., Benedetto A.","57203893100;57195625280;57216492473;6603960284;55752556500;7004429875;","Remote Sensing Measurements for the Structural Monitoring of Historical Masonry Bridges",2022,"Lecture Notes in Civil Engineering","200 LNCE",,,"632","641",,3,"10.1007/978-3-030-91877-4_72","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121923426&doi=10.1007%2f978-3-030-91877-4_72&partnerID=40&md5=678b455c3d253ab6a0e2187150b66f15","Department of Engineering, Roma Tre University, Rome, Italy; School of Computing and Engineering, University of West London (UWL), London, United Kingdom","Gagliardi, V., Department of Engineering, Roma Tre University, Rome, Italy; Ciampoli, L.B., Department of Engineering, Roma Tre University, Rome, Italy; D’Amico, F., Department of Engineering, Roma Tre University, Rome, Italy; Alani, A.M., School of Computing and Engineering, University of West London (UWL), London, United Kingdom; Tosti, F., School of Computing and Engineering, University of West London (UWL), London, United Kingdom; Benedetto, A., Department of Engineering, Roma Tre University, Rome, Italy","Advances in data processing and the availability of larger SAR datasets from various high-resolution (X-Band) satellite missions have consolidated the use of the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technique in the near-real-time assessment of bridges and the health monitoring of transport infrastructures. This research aims to investigate the viability of a novel non-destructive health-monitoring approach based on satellite remote sensing techniques for structural assessment of bridges and the prevention of damage by structural subsidence. To this purpose, commercial high-resolution TerraSAR-X (TSX) products of the German Aerospace Centre (DLR) provided by the European Space Agency (ESA), were acquired and processed by MT-InSAR technique. Analyses were developed to identify and monitor the structural displacements of the historical “Ponte Sisto” masonry bridge located in Rome, Italy, crossing the Tiber River. To this extent, the historical time-series of deformations were processed by Persistent Scatterers (PSs) relevant to critical structural elements of the bridge (i.e., bridge piers and arcs). A novel data interpretation approach is proposed based on the selection of several PS data-points with coherent deformation trends and location on the bridge. The outcomes of this study demonstrate that multi-temporal InSAR remote sensing techniques can be applied to complement non-destructive ground-based analyses (e.g., ground-penetrating radars, laser scanners, accelerometers), paving the way for future integrated approaches in the smart monitoring of infrastructure assets. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.","Bridge monitoring; Cultural heritage monitoring; Masonry bridges; Non-destructive assessment; PSI; Remote sensing","Damage detection; Data handling; Deformation; Geological surveys; Masonry materials; Space-based radar; Structural health monitoring; Synthetic aperture radar; Bridge monitoring; Cultural heritage monitoring; Cultural heritages; Health monitoring; High resolution; Interferometric synthetic aperture radars; Multi-temporal; Nondestructive assessment; PSI; Remote-sensing; Remote sensing",,,,,"Purdue University, PU; European Space Agency, ESA; Deutsches Zentrum für Luft- und Raumfahrt, DLR: Id.56598; Ministero dell’Istruzione, dell’Università e della Ricerca, MIUR: 20179BP4SM; Agenzia Spaziale Italiana, ASI; Ministero dell'Ambiente e della Tutela del Territorio e del Mare, MATTM","The authors wish to thank the European Space Agency (ESA) and the German Aerospace Centre (DLR) for providing the TerraSAR-X® dataset, in the framework of the project “IMA-BA (Id.56598)”, approved by ESA. The PSI time-series of the COSMO-SkyMed® products, are © of the ASI (Italian Space Agency), and provided under the license to use in the framework of the PST-A project of the Italian Ministry for Environment, Land and Sea Protection (MATTM). The authors want to acknowledge Dr. D. Perissin, Professor at the Purdue University (USA), for providing the commercial software SARPROZ®, developed by him, for the development of this research. This research is supported by the Italian Ministry of Education, University and Research under the National Project “EXTRA TN”, PRIN 2017, Prot. 20179BP4SM.",,"Chang, P.C., Flatau, A., Liu, S.C., Review paper: Health monitoring of civil infrastructure (2003) Struct Health Monit, 2 (3), pp. 257-267; Kongyang, C., Mingming, L., Xiaopeng, F., Mingming, W., Jinwu, W., Road condition monitoring using on-board three-axis Accelerometer and GPS Sensor (2011) 6Th International ICST Conference on Communications and Networking In, , China, Harbin; Olund, J., Dewolf, J., Passive structural health monitoring of connecticut’s bridge infrastructure (2007) J Infrastruct Syst, 13 (4), pp. 330-339; Mossop, A., Segall, P., Subsidence at the geysers geothermal field, N. California from a comparison of GPS and leveling surveys (1997) Geophys Res Lett, 24, pp. 1839-1842; Sato, H.P., Abe, K., Ootaki, O., GPS-measured land subsidence in Ojiya City, Niigata Prefecture Japan (2003) Eng Geol, 67, pp. 379-390; Saarenketo, T., Scullion, T., Road evaluation with ground penetrating radar (2000) J Appl Geophys, 43 (2-4), pp. 119-138; Bianchini Ciampoli, L., Artagan, S.S., Tosti, F., Gagliardi, V., Alani, A.M., Benedetto, A., A comparative investigation of the effects of concrete sleepers on the GPR signal for the assessment of railway ballast (2018) 17Th International Conference on Ground Penetrating Radar (GPR), pp. 1-4. , https://doi.org/10.1109/ICGPR.2018.8441588, Rapperswil, pp; Benedetto A, Tosti F, Ortuani B, Giudici M, Mele M (2013) Soil moisture mapping using GPR for pavement applications. In: 2013 7th International Workshop on Advanced Ground Penetrating Radar, Nantes, France, 2013, pp 1–5. https://doi.org/10.1109/IWAGPR.2013.660 1550; Gulisano, F., Gallego, J., Microwave heating of asphalt paving materials: Principles, current status and next steps (2021) Constr Build Mater, 278; Gallego, J., Gulisano, F., Contreras, V., Páez, A., The crucial effect of re-compaction energy on the healing response of hot asphalt mortars heated by microwaves (2021) Constr Build Mater, 285; Lagüela, S., Solla, M., Puente, I., Prego, F.J., Joint use of GPR, IRT and TLS techniques for the integral damage detection in paving (2018) Constr Build Mater, 174, pp. 749-760. , https://doi.org/10.1016/j.conbuildmat.2018.04.159; Mazzanti, P., Terrestrial SAR interferometry monitoring of natural slopes and man-made structures (2015) Engineering Geology for Society and Territory –, 5, pp. 189-194. , https://doi.org/10.1007/978-3-319-09048-1_37, Lollino G, Manconi A, Guzzetti F, Luino F, Culshaw M, Bobrowsky P, Volume, Springer, Cham, pp; Ferretti, A., Prati, C., Rocca, F., Permanent scatters in SAR interferometry (2001) IEEE Trans Geosci Remote Sens, 39 (1), pp. 8-20. , https://doi.org/10.1109/36.898661; Ferretti, A., Prati, C., Rocca, F., Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry (2000) IEEE Trans Geosci Remote Sens, 38 (5), pp. 2202-2212; Lanari, R., Mora, O., Manunta, M., Mallorqui, J.J., Berardino, P., Sansosti, E., A small baseline approach for investigating deformation on full resolution differential SAR interferograms (2004) IEEE Trans Geosci Remote Sens, 42, pp. 1377-1386; Alani, A.M., Tosti, F., Bianchini, C.L., Gagliardi, V., Benedetto, A., An integrated investigative approach in health monitoring of masonry arch bridges using GPR and InSAR technolo-gies (2020) NDT&E Int, , https://doi.org/10.1016/j.ndteint.2020.102288; Gagliardi, V., Benedetto, A., Bianchini Ciampoli, L., D’Amico, F., Alani, A.M., Tosti, F., Health monitoring approach for transport infrastructure and bridges by satellite remote sensing Persistent Scatterers Interferometry (PSI) (2020) Proc. SPIE 2020:11534, , https://doi.org/10.1117/12.2572395; Jung, J., Kim, D.-J., Palanisamy Vadivel, S.K., Yun, S.-H., Long-term deflection monitoring for bridges using X and C-band time-series SAR interferometry (2019) Remote Sens, 11 (11), p. 1258; Bianchini, C.L., Gagliardi, V., Calvi, A., D’Amico, F., Tosti, F., Automatic network-level bridge monitoring by integration of InSAR and GIS catalogues (2019) Proc SPIE, , https://doi.org/10.1117/12.2527299; Gagliardi, V., Bianchini Ciampoli, L., D’Amico, F., Alani, A.M., Tosti, F., Benedetto, A., (2021) Multi-Temporal SAR Interferometry for Structural Assessment of Bridges: The Rochester Bridge Case Study. International Airfield and Highway Pavements Conference; D’Amico, F., Gagliardi, V., Bianchini, C.L., Tosti, F., Integration of InSAR and GPR techniques for monitoring transition areas in railway bridges (2020) NDT&E Int, , https://doi.org/10.1016/j.ndteint.2020.102291; Qin, X., Liao, M., Zhang, L., Yang, M., Structural health and stability assessment of high-speed railways via thermal dilation mapping with time-series InSAR analysis (2017) IEEE J Select Top Appl Earth Observ Remote Sens, 10 (6), pp. 2999-3010; Gagliardi V et al (2020) Bridge monitoring and assessment by high-resolution satellite remote sensing technologies. Proc SPIE SPIE Future Sens Technol 2020:11525. https://doi.org/10. 1117/12.2579700; Yang, Z., Schmid, F., Roberts, C., Assessment of railway performance by monitoring land subsidence (2014) 6Th IET Conference on Railway Condition Monitoring (RCM 2014), pp. 1-6. , https://doi.org/10.1049/cp.2014.1000, pp; Tosti, F., Gagliardi, V., D’Amico, F., Alani, A.M., Transport infrastructure monitoring by data fusion of GPR and SAR imagery information (2020) Transp Res Proc, 45 (771-778), p. 721. , https://doi.org/10.1016/j.trpro.2020.02.097; Bianchini Ciampoli, L., Gagliardi, V., Clementini, C., Latini, D., Del Frate, F., Benedetto, A., Transport infrastructure monitoring by InSAR and GPR data fusion (2019) Surv Geophys, 41, pp. 371-394. , https://doi.org/10.1007/s10712-019-09563-7; Koudogbo, F., Radar interferometry as an innovative solution for monitoring the construction of the Grand Paris Express metro network—first results (2018) World Tunnel Conference, 2-25, p. 2018. , April, Dubai; Barla, G., InSAR monitoring of tunnel induced ground movements (2016) Geomechanik Und Tunnelbau, 9 (1), pp. 15-22; Perissin, D., Wang, Z., Lin, H., Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers (2012) ISPRS J Photogram Remote Sens, 73, pp. 58-67; Bianchini, C.L., Gagliardi, V., Ferrante, C., Calvi, A., D’Amico, F., Tosti, F., Displacement monitoring in airport runways by persistent scatterers SAR interferometry (2020) Remote Sens, 12, p. 3564. , https://doi.org/10.3390/rs12213564; Gagliardi, V., Testing Sentinel-1 SAR interferometry data for airport runway monitoring: A geostatistical analysis (2021) Sensors, 21 (17), p. 5769; Gao, M., InSAR time-series investigation of long-term ground displacement at Beijing Capital International Airport, China (2016) Tectonophysics, 691, pp. 271-281; Jiang, L., Lin, H., Integrated analysis of SAR interferometric and geological dat for investigating long-term reclamation settlement of Chek Lap Kok Airport Hong Kong (2010) Eng Geol, 110 (3-4), pp. 77-92; Gagliardi, V., Bianchini Ciampoli, L., D’Amico, F., Novel perspectives in the monitoring of transport infrastructures by Sentinel-1 and COSMO-SkyMed Multi-temporal SAR Interferometry (2021) 2021 International Geoscience and Remote Sensing Symposium, , IGARSS 2021; Sovrintendenza Capitolina ai Beni Culturali, Roma, Online Resource. http://www.sovrai ntendenzaroma.it/i_luoghi/roma_medioevale_e_moderna/beni_architettonici/ponte_sisto. Accessed 21 Mar 2020; Piano Straordinario di Telerilevamento Ambientale (PST-A) Project of the Italian Ministry for Environment, Land and Sea Protection (MATTM). http://www.pcn.minambiente.it/mattm/progetto-piano-straordinario-di-telerilevamento/; Perissin, D., Wang, T., Repeat-pass SAR interferometry with partially coherent targets (2012) IEEE Trans Geosci Remote Sens, 50 (1), pp. 271-280; Perissin, D., Wang, Z., Wang T (2011) The SARPROZ InSAR tool for urban subsi-dence/manmade structure stability monitoring in China (2011) Proceedings of the ISRSE 2010, Sidney, Australia, 10–15, , April; Dalla Via, G., Crosetto, M., Crippa, B., Resolving vertical and east-west horizontal motion from differential interferometric synthetic aperture radar: The L’Aquila earthquake (2012) J Geophys Res Solid Earth, 117, p. B2; Gagliardi, V., Bianchini Ciampoli, L., D’Amico, F., Tosti, F., Alani, A., Benedetto, A., A novel geo-statistical approach for transport infrastructure network monitoring by persistent scatterer interferometry (PSI) (2020) 2020 IEEE Radar Conference, Florence, Italy, 2020, pp. 1-6. , https://doi.org/10.1109/RadarConf2043947.2020.9266336, pp","Gagliardi, V.; Department of Engineering, Italy; email: valerio.gagliardi@uniroma3.it","Pellegrino C.Faleschini F.Zanini M.A.Matos J.C.Casas J.R.Strauss A.",,"Springer Science and Business Media Deutschland GmbH","1st Conference of the European Association on Quality Control of Bridges and Structures, EUROSTRUCT 2021","29 August 2021 through 1 September 2021",,269849,23662557,9783030918767,,,"English","Lect. Notes Civ. Eng.",Conference Paper,"Final","",Scopus,2-s2.0-85121923426
"Ravizza G., Ferrari R., Rizzi E., Dertimanis V., Chatzi E.N.","57204974350;36816021000;56132963600;57195415260;26025840000;","An integrated monitoring strategy for current condition assessment of historic bridges",2020,"Proceedings of the International Conference on Structural Dynamic , EURODYN","1",,,"1373","1387",,1,,"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099728255&partnerID=40&md5=2e18281e6475e632a50f9d3475b81846","University of Bergamo, Department of Engineering and Applied Sciences, viale G. Marconi 5, Dalmine (BG), I-24044, Italy; ETH Zürich, Institute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, Stefano-Franscini-Platz 5, Zürich, CH-8093, Switzerland","Ravizza, G., University of Bergamo, Department of Engineering and Applied Sciences, viale G. Marconi 5, Dalmine (BG), I-24044, Italy; Ferrari, R., University of Bergamo, Department of Engineering and Applied Sciences, viale G. Marconi 5, Dalmine (BG), I-24044, Italy; Rizzi, E., University of Bergamo, Department of Engineering and Applied Sciences, viale G. Marconi 5, Dalmine (BG), I-24044, Italy; Dertimanis, V., ETH Zürich, Institute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, Stefano-Franscini-Platz 5, Zürich, CH-8093, Switzerland; Chatzi, E.N., ETH Zürich, Institute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, Stefano-Franscini-Platz 5, Zürich, CH-8093, Switzerland","Nowadays, the need for effective Structural Health Monitoring (SHM) strategies, aiming at preserving the integrity and safety of strategic and historic infrastructures, is increasingly urgent. Within SHM, several vibration-based methodologies have been developed, including those exploiting Heterogeneous Data Fusion (HDF) procedures, as well as Denoising techniques for the treatment of response signals detected through appropriate sensor technologies. In this paper, these two approaches are reconsidered and rejoined, toward developing an innovative signal processing methodology for current condition assessment, specifically referring to historic bridges. In particular, a HDF approach, i.e. the process of combining information from multiple sources, in an effort to enhance the reliability of the monitoring process, and a denoising approach, devoted to the cleaning of spurious noise from the acquired signals, are combined all together, in an integrated strategy. The effectiveness of the proposed platform is tested on data from a real structure (historic bridges). Both dynamic acceleration and displacement response signals, directly detected under operational conditions, can be processed within the proposed methodology, and subsequently employed toward modal dynamic identification purposes and possible model updating of the structure at hand. © 2020 European Association for Structural Dynamics. All rights reserved.","Acceleration data; Denoising techniques; Displacement data; Heterogeneous Data Fusion (HDF); Historic reinforced concrete bridge; Modal identification; Structural Health Monitoring (SHM)","Bridges; Sensor data fusion; Signal detection; Structural dynamics; Condition assessments; De-noising techniques; Displacement response; Dynamic acceleration; Integrated monitoring; Integrated strategy; Operational conditions; Structural health monitoring (SHM); Structural health monitoring",,,,,"Horizon 2020 Framework Programme, H2020: 769373; International Studies Association, ISA; Università degli studi di Bergamo","Public research support from “Fondi di Ricerca d’Ateneo ex 60%” and a ministerial doctoral","grant and funds at the ISA Doctoral School, University of Bergamo, Department of Engineering and Applied Sciences (Dalmine), are gratefully acknowledged. Prof. Chatzi and Dr. Dertimanis have received funding from Horizon 2020, the EU’s Framework Programme for Research and Innovation, under grant agreement number 769373 (Project: FORESEE).","Bürki, B., Guillaume, S., Sorber, P., Oesch, H., DAEDALUS: a versatile usable digital clip-on measuring system for total stations (2010) International Conference on Indoor Positioning and Indoor Navigation, , Zürich, Switzerland, 15–17 September 2010; Chatzi, E.N., Fuggini, C., Structural identification of a super-tall tower by GPS and accelerometer data fusion using a multi-rate Kalman filter (2012) Proceedings of the 3rd International Symposium on Life-Cycle Civil Engineering, 10, pp. 144-151. , Delft, Netherlands, 3-6 October 2012; Chatzi, E.N., Fuggini, C., Online correction of drift in Structural Identification using artificial white noise observations and an Unscented Kalman filter (2015) Smart Structures and Systems, 16 (2), pp. 296-328; Ferrari, R., Froio, D., Chatzi, E.N., Gentile, C., Pioldi, F., Rizzi, E., Experimental and numerical investigation for the structural characterization of a historic RC arch bridge (2015) COMPDYN 2015, 5th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, pp. 2337-2353. , www.eccomasproceedia.org/conferences/thematic-conferences/compdyn-2015/3542, Crete Island, Greece, 25-27 May 2015, 1: in Eccomas Proceedia; Ferrari, R., Pioldi, F., Rizzi, E., Gentile, C., Chatzi, E.N., Klis, R., Serantoni, E., Wieser, A., Heterogeneous sensor fusion for reducing uncertainty in Structural Health Monitoring (2015) UNCECOMP 2015, 1st ECCOMAS Thematic Conference on International Conference on Uncertainty Quantification in Computational Sciences and Engineering, pp. 511-528. , www.eccomasproceedia.org/conferences/thematicconferences/uncecomp-2015/4289, Crete Island, Greece, 25-27 May 2015, in Eccomas Proceedia; Ferrari, R., Pioldi, F., Rizzi, E., Gentile, C., Chatzi, E.N., Serantoni, E., Wieser, A., Fusion of wireless and non-contact technologies for the dynamic testing of a historic RC bridge (2016) Measurement Science and Technology, 27 (12), pp. 1-19; Ferrari, R., Froio, D., Rizzi, E., Gentile, C., Chatzi, E.N., Model updating of a historic concrete bridge by sensitivity- and global optimization-based Latin Hypercube Sampling (2018) Engineering Structures, 179, pp. 139-160. , (January 2019); Ferrari, R., Cocchetti, G., Rizzi, E., Reference structural investigation on a 19th-century arch iron bridge loyal to design-stage conditions (2019) International Journal of Architectural Heritage, Conservation, Analysis, and Restoration, pp. 1-31. , Published online on 05 July 2019; Froio, D., Zanchi, R., (2014) Finite element modelization and modal dynamic analyses of an historical reinforced concrete bridge with parabolic arches, p. 232. , MSc Thesis in Building Engineering, Advisor Rizzi E., Co-Advisor Ferrari R., University of Bergamo, School of Engineering, pages; Pioldi, F., Ferrari, R., Rizzi, E., Output-only modal dynamic identification of frames by a refined FDD algorithm at seismic input and high damping (2015) Mechanical Systems and Signal Processing, 68-69, pp. 265-291. , (February 2016); Pioldi, F., Ferrari, R., Rizzi, E., Earthquake structural modal estimates of multi-storey frames by a refined FDD algorithm (2015) Journal of Vibration and Control, 23 (13), pp. 2037-2063; Pioldi, F., Ferrari, R., Rizzi, E., Seismic FDD modal identification and monitoring of building properties from real strong-motion structural response signals (2017) Structural Control and Health Monitoring, 24 (11), pp. 1-20; Pioldi, F., Rizzi, E., Refined Frequency Domain Decomposition modal dynamic identification from earthquake-induced structural responses (2017) Meccanica, 52 (13), pp. 3165-3179; Pioldi, F., Rizzi, E., A refined Frequency Domain Decomposition tool for structural modal monitoring in earthquake engineering (2017) Earthquake Engineering and Engineering Vibration, 16 (3), pp. 627-648; Pioldi, F., Rizzi, E., Assessment of Frequency versus Time Domain enhanced technique for response-only modal dynamic identification under seismic excitation (2018) Bulletin of Earthquake Engineering, 16 (3), pp. 1547-1570; Pioldi, F., Rizzi, E., Earthquake-induced structural response output-only identification by two different Operational Modal Analysis techniques (2018) Earthquake Engineering and Structural Dynamics, 47 (1), pp. 257-264; Ravizza, G., Ferrari, R., Rizzi, E., Chatzi, E.N., Effective heterogeneous data fusion procedure via Kalman filtering (2018) Smart Structures and Systems, 22 (5), pp. 631-641; Ravizza, G., Ferrari, R., Rizzi, E., Dertimanis, V., Chatzi, E.N., Denoising corrupted structural vibration response: critical comparison and assessment of related methods (2019) Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2019), An ECCOMAS Thematic Conference, An IACM Special Interest Conference, p. 12. , M. Papadrakakis, M. Fragiadakis (eds), 24-26 June 2019, Hersonissos, Crete Island, Greece, Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens (NTUA), Conference Proceeding ID: 19291, Category: RS02 ALGORITHMS FOR STRUCTURAL HEALTH MONITORING, pages; Ravizza, G., Ferrari, R., Rizzi, E., Dertimanis, V., Chatzi, E.N., (2020) Critical assessment of two denoising techniques for purifying structural vibration response signals, , To be submitted; Santarella, L., Miozzi, E., (1948) Ponti Italiani in Cemento Armato, , Milano: Hoepli","Rizzi, E.; University of Bergamo, viale G. Marconi 5, Italy; email: egidio.rizzi@unibg.it","Papadrakakis M.Fragiadakis M.Papadimitriou C.",,"European Association for Structural Dynamics","11th International Conference on Structural Dynamics, EURODYN 2020","23 November 2020 through 26 November 2020",,165382,23119020,9786188507203,,,"English","Proc. Int. Conf. Struct. Dyn., EURODYN",Conference Paper,"Final","",Scopus,2-s2.0-85099728255
"Del Rio I., Cabaleiro M., Conde B., Riveiro B., Caamaño J.C.","57220199817;56294619500;56875345700;35096575300;23977387000;","Hbim application to historical steel structures: The case study of lapela bridge",2020,"World Congress on Civil, Structural, and Environmental Engineering",,,,"160-1","160-7",,1,"10.11159/icsect20.160","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097250535&doi=10.11159%2ficsect20.160&partnerID=40&md5=b2b744d78e6d3cb0f5e4c46274b893ef","Department of Materials Engineering Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, Vigo, CP 36208, Spain","Del Rio, I., Department of Materials Engineering Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, Vigo, CP 36208, Spain; Cabaleiro, M., Department of Materials Engineering Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, Vigo, CP 36208, Spain; Conde, B., Department of Materials Engineering Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, Vigo, CP 36208, Spain; Riveiro, B., Department of Materials Engineering Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, Vigo, CP 36208, Spain; Caamaño, J.C., Department of Materials Engineering Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, Vigo, CP 36208, Spain","Historical steel structures are present all around the world. Besides being a common part of the cultural heritage, many of them are still in service. As an example, we can cite the case of riveted bridges, railway stations, exhibition pavilions, or industrial buildings. The maintenance of these ancient constructions is crucial since they are prone to have suffered significant damage over time due to effects such as corrosion, human actions, or the exposure to heavy loads for which they were not originally conceived. Further, in many cases, these steel structures have to be strengthened in order to adapt them to new uses. HBIM (Historical Buildings Information Modeling) is a new methodology in structural design and construction that could be used as the ideal tool for the maintenance management of these historical structures. HBIM technology is adopted in this paper for structural engineering purposes. Departing from the geometric survey carried out by terrestrial laser scanning, a 3D model is obtained which apart of gathering the main dimensions and details regarding the composition of the structure, it allows collecting all the information concerning the deterioration grade or the different inspections and retrofitting actions performed over time. Thus, by introducing different time stages in the 3D model, the evolution of the structural health over time can be analyzed, which allows the decision-making regarding maintenance and, if required, the undertaking of repairing works. The proposed methodology will be applied to the case study of the Lapela Bridge, in Portugal. © 2020, Avestia Publishing. All rights reserved.","3D Modelling; FEM simulation; Laser scanner; Maintenance; Structural health monitoring",,,,,,"Interreg; Ministerio de Ciencia, Innovación y Universidades, MCIU: RTI2018-095893-B-C21; European Regional Development Fund, FEDER: EAPA_826/2018","This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities through the project Ref. RTI2018-095893-B-C21, and the SIRMA project, which is co-financed by the INTERREG Atlantic Area Programme through the European Regional Development Fund (ERDF) with application code: EAPA_826/2018.",,"López, F.J., Lerones, P.M., Llamas, J., Gómez-García-Bermejo, J., Zalama, E., A review of heritage building information modelling (H-BIM) (2018) Multimodal Technologies and Interaction, 2 (2), p. 21; Cabaleiro, M., Riveiro, B., Arias, P., Caamano, J.C., Algorithm for beam deformation modeling from LiDAR data (2015) Measurement, 76, pp. 20-31; Herraez, J., Navarro, P., Denia, J.L., Martin, M.T., Rodriguez, J., Modeling the thickness of vaults in the church of Santa Maria de Magdalena (Valencia, Spain) with laser scanning techniques (2014) J. Cult. Herit, 15 (6), pp. 679-686; Cabaleiro, M., Riveiro, B., Arias, P., Caamano, J.C., Vilan, J.A., Automatic 3D modelling of metal frame connections from LIDAR data for structural engineering purposes (2014) ISPRS J. Photogramm. Remote Sens, 96, pp. 47-56; Yin, X., Liu, H., Chen, Y., Al-Hussein, M., Building information modelling for off-site construction: Review and future directions (2019) Autom. Constr, 101, pp. 72-91; Santos, R., Costa, A.A., Silvestre, J.D., Pyl, L., Informetric analysis and review of literature on the role of BIM in sustainable construction (2019) Autom. Constr, 103, pp. 221-234; Garzia, F., Costantino, D., Baiocchi, V., Security and safety management and role of laser scanning in unique and peculiar cultural heritage sites such as the papal basilica and the sacred convent of Saint Francis in Assisi in Italy International Journal of Heritage Architecture, 2 (2), pp. 271-282; Cuartero, J., Cabaleiro, M., Sousa, H. S., Branco, J. M., Tridimensional parametric model for prediction of structural safety of existing timber roofs using laser scanner and drilling resistance tests (2019) Engineering Structures, 185, pp. 58-67; Sanchez-Aparicio, L.J., Riveiro, B., Gonzalez-Aguilera, D., Ramos, L.F., The combination of geomatic approaches and operational modal analysis to improve calibration of finite element models: A case of study in Saint Torcato church (Guimaraes, Portugal) (2014) Constr. Build. Mater, 70; Yang, L., Cheng, J. C., Wang, Q., Semi-automated generation of parametric BIM for steel structures based on terrestrial laser scanning data (2020) Automation in Construction, 112, p. 103037; Basta, A., Serror, M. H., Marzouk, M., A BIM-based framework for quantitative assessment of steel structure deconstructability (2020) Automation in Construction, 111, p. 103064; Laefer, D. F., Truong-Hong, L., Toward automatic generation of 3D steel structures for building information modelling (2017) Automation in Construction, 74, pp. 66-77; Donato, V., Biagini, C. G., Bertini, Marsugli, F., Challenges and opportunities for the implementation of h-bim with regards to historical infrastructures: A case study of the ponte giorgini in castiglione della pescaia (grossetoitaly) (2017) International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, p. 42; Morganti, R., Tosone, A., Di Donato, D., Abita, M., Hbim and the 20th century steel building heritage-a procedure suitable for the construction history in italy (2019) International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; Mol, A., Cabaleiro, M., Sousa, H. S., Branco, J. M., HBIM for storing life-cycle data regarding decay and damage in existing timber structures (2020) Automation in Construction, 117, p. 103262",,"El Naggar H.Barros J.",,"Avestia Publishing","5th World Congress on Civil, Structural, and Environmental Engineering, CSEE 2020","18 October 2020 through 20 October 2020",,251919,23715294,,,,"English","World Cong. Civ., Struct., Environ. Eng.",Conference Paper,"Final","All Open Access, Bronze",Scopus,2-s2.0-85097250535
"Kawano Y., Nishido T., Mikami T., Ikushima K.","56927601800;6603752502;55118916900;7003556209;","A Suggestion of Health Monitoring for Road Bridge Shoes",2017,"Procedia Engineering","188",,,"271","277",,1,"10.1016/j.proeng.2017.04.484","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020471634&doi=10.1016%2fj.proeng.2017.04.484&partnerID=40&md5=6df7518fb38a36e68ddd8d350e783fd3","IHI Inspection and Instrumentation Co., Ltd., 6-17, Fukuura, 2-chome, Kanazawa, Yokohama, Kanagawa, 236-0004, Japan; Department of Applied Physics, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo, 184-8588, Japan; IHI Inspection and Instrumentation Co., Ltd., 25-3, Minami-Ohi 6-chome, Shinagawa-ku, Tokyo, 140-0013, Japan","Kawano, Y., IHI Inspection and Instrumentation Co., Ltd., 6-17, Fukuura, 2-chome, Kanazawa, Yokohama, Kanagawa, 236-0004, Japan, Department of Applied Physics, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo, 184-8588, Japan; Nishido, T., IHI Inspection and Instrumentation Co., Ltd., 6-17, Fukuura, 2-chome, Kanazawa, Yokohama, Kanagawa, 236-0004, Japan; Mikami, T., IHI Inspection and Instrumentation Co., Ltd., 25-3, Minami-Ohi 6-chome, Shinagawa-ku, Tokyo, 140-0013, Japan; Ikushima, K., Department of Applied Physics, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo, 184-8588, Japan","In recent years, the number of old bridges has remarkably increased in Japan. A periodic monitoring of them is necessary in order to confirm their security. This monitoring can lead to early warnings and prediction of potential problems and help in the planning of the necessary maintenance interventions and enables the damage assessment after earthquakes. Deterioration of shoes of bridges becomes remarkable recently. The shoes are a part absorbing the expansion and contraction of the bridges by the temperature change. When the shoes do not function, various problems appear on supporting beams and floor. In this paper, we describe about the shoe measurement results at the actual field. © 2016 Published by Elsevier Ltd.","bridge; masurement; monitoring; sensor; shoe","Bridges; Damage detection; Deterioration; Monitoring; Sensors; Damage assessments; Expansion and contraction; Health monitoring; masurement; Periodic monitoring; Potential problems; shoe; Temperature changes; Structural health monitoring",,,,,"Japan Society for the Promotion of Science, JSPS: 17H02808",,,"Glisic, B., Inaudi, D., Monitoring of building columns during construction (2003) 5th Asia Pacific Structural Engineering & Construction Conference(APSEC), pp. 593-606. , August 26-28, Johor Bahru, Malaysia; Mikami, T., Nishizawa, T., Structural health monitoring with fiber optic sensors SEWC2002, Structural Engineers World Congress, , Yokohama, Japan, T9-1-d-1","Kawano, Y.; IHI Inspection and Instrumentation Co., 6-17, Fukuura, 2-chome, Japan; email: y_kawano@iic.ihi.co.jp","Chiu W.K.Galea S.Mita A.Takeda N.","Australian Government Department of Defence;EMBRAER;GLOBAL Office of Naval Research science and technology;MONASH University;OLYMPUS","Elsevier Ltd","6th Asia Pacific Workshop on Structural Health Monitoring, APWSHM 2016","7 December 2016 through 9 December 2016",,135958,18777058,,,,"English","Procedia Eng.",Conference Paper,"Final","All Open Access, Gold",Scopus,2-s2.0-85020471634
"Bouzas Ó., Cabaleiro M., Conde B., Cruz Y., Riveiro B.","57338493500;56294619500;56875345700;57681938300;35096575300;","Structural health control of historical steel structures using HBIM",2022,"Automation in Construction","140",,"104308","","",,,"10.1016/j.autcon.2022.104308","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129996295&doi=10.1016%2fj.autcon.2022.104308&partnerID=40&md5=335463ad7316cc19d1232570188cfe3d","CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Vigo, Marcosende, 36310, Spain","Bouzas, Ó., CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Vigo, Marcosende, 36310, Spain; Cabaleiro, M., CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Vigo, Marcosende, 36310, Spain; Conde, B., CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Vigo, Marcosende, 36310, Spain; Cruz, Y., CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Vigo, Marcosende, 36310, Spain; Riveiro, B., CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Vigo, Marcosende, 36310, Spain","In architecture and civil engineering, maintaining historical constructions is essential for preserving cultural heritage. This is especially relevant in constructions exposed to a high degree of degradation, such as historic steel structures. The HBIM (Heritage Building Information Modeling) technology can facilitate and automate this task. In this paper, a methodology based on an HBIM framework is proposed and applied, which allows the control and monitoring of structural health over time. On the one hand, an architectural model of the construction is created. This model collects, in detail, aspects such as the geometrical shape, material composition, structural configuration, and additional data required for the control and management of the construction. On the other hand, a calibrated structural model is also automatically generated. This model represents the actual overall mechanical behavior of the construction. Both models are seamlessly integrated, evolve, and collect data of all the different control or maintenance phases of the construction. The methodology has been validated in the case study of the riveted steel bridge of O Barqueiro, located in Galicia, Spain. © 2022 The Authors","HBIM; Historical steel bridge; Non-destructive testing techniques; Operational modal analysis; Structural analysis","Historic preservation; Modal analysis; Nondestructive examination; Steel structures; Steel testing; Structural health monitoring; Building Information Modelling; Cultural heritages; Health control; Heritage building information modeling; Heritage buildings; Historical construction; Historical steel bridge; Non-destructive testing technique; Operational modal analysis; Structural health; Steel bridges",,,,,"Interreg; Ministerio de Ciencia e Innovación, MICINN: RTI2018-095893-B-C21; Universidade de Vigo; European Regional Development Fund, ERDF: EAPA_826/2018","This work has been supported by the Spanish Ministry of Science and Innovation through the LASTING project (grant RTI2018-095893-B-C21 ) and the SIRMA project, co-financed by the INTERREG Atlantic Area Programme through the European Regional Development Fund (ERDF) with application code EAPA_826/2018 . Funding for open access charge: Universidade de Vigo/CISUG.",,"Santos, R., Costa, A.A., Silvestre, J.D., Pyl, L., Informetric analysis and review of literature on the role of BIM in sustainable construction (2019) Autom. Constr., 103, pp. 221-234; Yin, X., Liu, H., Chen, Y., Al-Hussein, M., Building information modelling for off-site construction: review and future directions (2019) Autom. Constr., 101, pp. 72-91; Simeone, D., Cursi, S., Acierno, M., BIM semantic-enrichment for built heritage representation (2019) Autom. Constr., 97, pp. 122-137; Bruno, S., De Fino, M., Fatiguso, F., Historic building information modelling: performance assessment for diagnosis-aided information modelling and management (2018) Autom. Constr., 86, pp. 256-276; Palomar, I.J., Valldecabres, J.L.G., Tzortzopoulos, P., Pellicer, E., An online platform to unify and synchronise heritage architecture information (2020) Autom. 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Struct., 164, pp. 40-52; Costa, C., Ribeiro, D., Jorge, P., Silva, R., Arêde, A., Calçada, R., Calibration of the numerical model of a stone masonry railway bridge based on experimentally identified modal parameters (2016) Eng. Struct., 123, pp. 354-371; Zordan, T., Briseghella, B., Liu, T., Finite element model updating of a tied-arch bridge using Douglas-Reid method and Rosenbrock optimization algorithm (2014) J. Traffic Transportat. Eng. (English Edition), 1 (4), pp. 280-292; Lubowiecka, I., Armesto, J., Arias, P., Lorenzo, H., Historic bridge modelling using laser scanning, ground-penetrating radar and finite element methods in the context of structural dynamics (2009) Eng. Struct., 31, pp. 2667-2676; European Committee for Standardization, Eurocode 3: Design of steel structures – Part 1–1: General rules and rules for buildings. (EN 1993-1-1): Brussels (2013), https://www.en.une.org/encuentra-tu-norma/busca-tu-norma/norma/?c=N0051040, UNE; Pang, Y., Wu, X., Shen, G., Yuan, W., Seismic fragility analysis of cable-stayed bridges considering different sources of uncertainties (2014) J. Bridg. Eng., 19 (4), p. 04013015; European Committee for Standardization, Eurocode 1: Actions on structures – Part 2: Traffic loads on bridges. (EN 1991–2): Brussels (2019), https://www.en.une.org/encuentra-tu-norma/busca-tu-norma/norma?c=N0061460, UNE","Bouzas, Ó.; CINTECX, Vigo, Spain; email: oscar.bouzas.rodriguez@uvigo.es",,,"Elsevier B.V.",,,,,09265805,,AUCOE,,"English","Autom Constr",Article,"Final","All Open Access, Hybrid Gold, Green",Scopus,2-s2.0-85129996295
"Bianchi S., Biondini F., D’Angelo M., Ballio F., Anghileri M., Rosati G., Cazzulani G.","57194085594;6602613840;57223137836;6602931738;57211567366;7102230886;55931995400;","Satellite-Based Structural and Hydraulic Monitoring of a 50-Year-Old Bridge over the Oglio River in Italy",2022,"Lecture Notes in Civil Engineering","200 LNCE",,,"380","389",,,"10.1007/978-3-030-91877-4_44","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121930083&doi=10.1007%2f978-3-030-91877-4_44&partnerID=40&md5=2d34407be81741f7e87baf08bb92751c","Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy","Bianchi, S., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Biondini, F., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; D’Angelo, M., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Ballio, F., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Anghileri, M., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Rosati, G., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Cazzulani, G., Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy","The bridge over the Oglio river in Isola Dovarese, Italy, is a 50-year-old structure with concrete deck I-beams. This bridge is an important link for both local communities and regional transportation system and has been selected as a case study within a joint project promoted by Regione Lombardia and Politecnico di Milano for the definition of criteria and guidelines for maintenance and management of the roadway infrastructure. A structural health monitoring system based on satellite technology has been designed and implemented for the continuous measurement of displacements of selected points of both deck and piers. A camera and a hydrometer have been integrated in the system for visualizing a pier front to detect floating debris and monitoring of water elevation, respectively, along with a weather station to assess the environmental conditions. Moreover, an echo-sounder has been used to investigate the erosion and local scour at foundation level. This paper provides a description of the design and implementation of the integrated system and a critical appraisal of the preliminary results of the monitoring activities as a support to the general framework for maintenance and management of the roadway infrastructure at regional scale. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.","Bridges; Damage; Hydraulic monitoring; Structural monitoring","Bridge piers; Highway administration; Highway bridges; Scour; Structural health monitoring; Concrete deck; Damage; Hydraulic monitoring; I beams; Local community; Old structure; Regional transportation; Roadway infrastructure; Structural monitoring; Transportation system; Piers",,,,,,,,"(2019) Life-Cycle Design Assessment and Maintenance of Structures and Infrastructure Systems. American Society of Civil Engineers, , Biondini F, Frangopol DM, ASCE), Reston; Arena, M., Bianchi, S., Biondini, F., Torti, A., (2020) Individuare Le priorità Manutentive Dei Ponti Stradali Lombardi, , Azzone G, Balducci S, Secchi P; Limongelli, M.P., The MoRe guidelines for monitoring of transport infrastructures. In: 1st conference of the european association on quality control of bridges and structures (EUROSTRUCT 2021), Padua, Italy (2021) 29Th August–1st September; Wardhana, K., Hadipriono, F.C., Analysis of recent bridge failures in the United States (2003) J Perform Constr Facil, 17 (3), pp. 144-150; Briaud, R.J., Realtime monitoring of bridge scour using remote monitoring technology. Texas Transportation Institute (2011) Technical Report 0-6060-1; Foti, S., Sabia, D., Influence of foundation scour on the dynamic response of an existing bridge (2011) J Bridg Eng, 16 (2), pp. 295-304; Ballio, F., Bianchi, A., Franzetti, S., de Falco, F., Mancini, M., Vulnerabilità idraulica di ponti fluviali (1998) XXVI Convegno Nazionale Di Idraulica E Costruzioni Idrauliche, 3, pp. 69-80. , Catania, Italy, vol, pp; Im, S.B., Hurlebaus, S., Kang, Y.J., Summary review of GPS technology for structural health monitoring (2013) J Struct Eng, 139 (10), pp. 1653-2166; Yu, J., Meng, X., Yan, B., Xu, B., Fan, Q., Xie, Y., Global navigation satellite system-based positioning technology for structural health monitoring: A review (2020) Struct Control Health Monit, 27 (1), p. e2467; Caldera, S., Realini, E., Barzaghi, R., Reguzzoni, M., Sansò, F., Experimental study on low-cost satellite-based geodetic monitoring over short baselines (2016) J Surv Eng, 142 (3); Prendergast, L.J., Gavin, K., A review of bridge scour monitoring techniques (2014) J Rock Mech Geotech Eng, 6, pp. 138-149","Bianchi, S.; Department of Civil and Environmental Engineering, Italy; email: silvia.bianchi@polimi.it","Pellegrino C.Faleschini F.Zanini M.A.Matos J.C.Casas J.R.Strauss A.",,"Springer Science and Business Media Deutschland GmbH","1st Conference of the European Association on Quality Control of Bridges and Structures, EUROSTRUCT 2021","29 August 2021 through 1 September 2021",,269849,23662557,9783030918767,,,"English","Lect. Notes Civ. Eng.",Conference Paper,"Final","",Scopus,2-s2.0-85121930083
"Zhang S., Caprani C., Melhem M.M., Ng A., Hodgins N.","57198355762;23767233000;57194439208;57209251071;57304546200;","Use of structural health monitoring for assessing historical bridges under heavy loads",2021,"Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020",,,,"543","550",,,"10.1201/9780429279119-71","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117608921&doi=10.1201%2f9780429279119-71&partnerID=40&md5=4103ccef8a305b6ba10f86b03020a3f9","Department of Civil Engineering, Monash University, Clayton, VIC, Australia; Department of TransportVIC, Australia","Zhang, S., Department of Civil Engineering, Monash University, Clayton, VIC, Australia; Caprani, C., Department of Civil Engineering, Monash University, Clayton, VIC, Australia; Melhem, M.M., Department of Civil Engineering, Monash University, Clayton, VIC, Australia; Ng, A., Department of TransportVIC, Australia; Hodgins, N., Department of TransportVIC, Australia","Around the world, historical bridges may be required to carry heavy loads. Structural health monitoring (SHM) can be used to better understand bridge performance and ensure the safety of the local network. This paper presents a general methodology for the incorporation of SHM measurements into bridge assessments, using the Australian Standards AS 5100.7 methodology as an example. Two potential SHM solutions are compared under various headings, based on practical experience. By coupling the monitoring results with cross-section analysis, the in-situ behavior of an existing bridge under heavy loads can be assessed. The framework considers whether cracking is occurring on different locations, guiding visual inspections and informing decision-making. Overall, this study provides a solid basis for implementing the developed SHM system into practice. It helps to identify the potential defects on the bridge, reduce the level of uncertainties in the bridge assessment, thereby facilitating the movement of important heavy loads and normal traffic. © 2021 Taylor & Francis Group, London",,"Decision making; Life cycle; Australian standards; Bridge assessment; Bridge performance; General methodologies; Heavy loads; Historical bridges; Local networks; Monitoring measurements; Monitoring results; Practical experience; Structural health monitoring",,,,,,,,"(2018) Higher Order Bridge Assessment in Australia, , Austroads Austroads, Sydney, NSW; Balageas, D., Fritzen, C.-P., Güemes, A., (2010) Structural health monitoring, , John Wiley & Sons; Brownjohn, J. M. W., Au, S.-K., Zhu, Y., Sun, Z., Li, B., Bassitt, J., Hudson, E., Sun, H., Bayesian operational modal analysis of Jiangyin Yangtze River Bridge (2018) Mechanical Systems and Signal Processing, 110, pp. 210-230; Catbas, F. N., Susoy, M., Frangopol, D. M., Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data (2008) Engineering Structures, 30, pp. 2347-2359; Catbas, F. N., Zaurin, R., Gul, M., Gokce, H. B., Sensor networks, computer imaging, and unit influence lines for structural health monitoring: Case study for bridge load rating (2011) Journal of Bridge Engineering, 17, pp. 662-670; Chen, Z., Zhou, X., Wang, X., Dong, L., Qian, Y., Deployment of a smart structural health monitoring system for long-span arch bridges: A review and a case study (2017) Sensors, 17, p. 2151; Choi, H., Choi, S., Cha, H., Structural health monitoring system based on strain gauge enabled wireless sensor nodes (2008) 2008 5th International Conference on Networked Sensing Systems, pp. 211-214. , IEEE; Glaser, S. D., Li, H., Wang, M. L., Ou, J., Lynch, J., Sensor technology innovation for the advancement of structural health monitoring: a strategic program of US-China research for the next decade (2007) Smart Structures and Systems, 3, pp. 221-244; Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J. A., Sim, S.H., Jung, H.-J., Agha, G., Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation (2010) Smart Structures and Systems, 6, pp. 439-459; Ko, J., Ni, Y. Q., Technology developments in structural health monitoring of large-scale bridges (2005) Engineering structures, 27, pp. 1715-1725; Lee, J.-Y., Choi, I.-J., Kim, S.-W., Shear Behavior of Reinforced Concrete Beams with High-Strength Stirrups (2011) ACI Structural Journal, 108; Li, H.-N., Ren, L., Jia, Z.-G., Yi, T.-H., Li, D.-S., State-of-the-art in structural health monitoring of large and complex civil infrastructures (2016) Journal of Civil Structural Health Monitoring, 6, pp. 3-16; Li, H., Ou, J., Zhang, X., Pei, M., Li, N., Research and practice of health monitoring for long-span bridges in the mainland of China (2015) Smart Structures and Systems, 15, pp. 555-576; Liu, M., Frangopol, D. M., Kim, S., Bridge system performance assessment from structural health monitoring: A case study (2009) Journal of Structural Engineering, 135, pp. 733-742; Melhem, M. M., Caprani, C., Zhang, S., Hodgins, A. N. N., Using structural reliability to decide on extreme loads accessing historical bridges (2020) IABAMS; Mukhopadhyay, S., Ihara, I., (2011) Sensors and technologies for structural health monitoring: a review. New developments in sensing technology for structural health monitoring, , Springer; Ng, A., Rooke, A., Pape, T., Austroads Project TP1952: Higher order assessments for existing bridges (2017) Austroads Bridge Conference, , 10th, Melbourne, Victoria, Australia, 2017; Ozcebe, G., Saatcioglu, M., Hysteretic shear model for reinforced concrete members (1989) Journal of Structural Engineering, 115, pp. 132-148; Perry, C., Strain-gage reinforcement effects on low-modulus materials (1985) Experimental Techniques, 9, pp. 25-26; Pines, D., Aktan, A. E., Status of structural health monitoring of long-span bridges in the United States (2002) Progress in Structural Engineering and materials, 4, pp. 372-380; Rao, M. B., Bhat, M., Murthy, C., Madhav, K. V., Asokan, S., Structural health monitoring (SHM) using strain gauges, PVDF film and fiber bragg grating (FBG) sensors: A comparative study (2006) National Seminar on Non-Destructive Evaluation, NDE 2006, , Citeseer; Samaras, V. A., Fasl, J., Reichenbach, M., Helwig, T., Wood, S., Frank, K., Long-term gage reliability for structural health monitoring of steel bridges (2012) Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, p. 83471Q. , International Society for Optics and Photonics; Scientific, T. F., (2015) DataTaker Case Studies, , https://www.thermofisher.com.au/show.aspx?page=/ContentAUS/Manufacturing-Processing/Industrial-Loggers/DataTaker/Case-Studies/CaseStudies.html#tab2, [Online]. Australia. Available: [Accessed]; Soman, R. N., Onoufrioua, T., Kyriakidesb, M. A., Votsisc, R. A., Chrysostomou, C. Z., Multi-type, multi-sensor placement optimization for structural health monitoring of long span bridges (2014) Smart Structures and Systems, 14, pp. 55-70; Sun, Z., Zou, Z., Zhang, Y., Utilization of structural health monitoring in long-span bridges: Case studies (2017) Structural Control and Health Monitoring, 24, p. e1979; Webb, G., Vardanega, P. J., Middleton, C. R., Categories of SHM deployments: technologies and capabilities (2014) Journal of Bridge Engineering, 20, p. 04014118; Worden, K., Farrar, C. R., manson, G., Park, G., The fundamental axioms of structural health monitoring (2007) Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 463, pp. 1639-1664; Xu, Y. L., Xia, Y., (2011) Structural health monitoring of long-span suspension bridges, , CRC Press; Zakaria, M., Ueda, T., Wu, Z., Meng, L., Experimental investigation on shear cracking behavior in reinforced concrete beams with shear reinforcement (2009) Journal of Advanced Concrete Technology, 7, pp. 79-96",,"Yokota H.Frangopol D.M.",,"CRC Press/Balkema","10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020","11 April 2021 through 15 April 2021",,172353,,9780429279119; 9780367232788,,,"English","Bridge Maint., Saf., Manag., Life-Cycle Sustain. Innov. - Proc. Int. Conf. Bridge Maint., Saf. Manag., IABMAS",Conference Paper,"Final","",Scopus,2-s2.0-85117608921
"Ceravolo R.","7005992698;","Condition assessment, monitoring and preservation of some iconic concrete structures of the 20th century",2020,"IABSE Symposium, Wroclaw 2020: Synergy of Culture and Civil Engineering - History and Challenges, Report",,,,"59","82",,,,"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103456294&partnerID=40&md5=c6bd83d64a891e9c86a7a57e6c90bd5a","Geotechnical and Building Engineering, Dep. of Structural, Politecnico di Torino, Turin, Italy","Ceravolo, R., Geotechnical and Building Engineering, Dep. of Structural, Politecnico di Torino, Turin, Italy","Great architects and structural engineers such as Berg (1870-1947), Maillart (1872-1940), Freyssinet (1879-1962), Torroja (1899-1961), Nervi (1891-1979), Candela (1910-1997), Isler (1926-2009) and many others have designed recognized works of art in their discipline. They conceived extraordinary concrete spatial structures, that are located mostly in Europe and represent a unique legacy. It is important to raise awareness of this heritage, define the criteria for preserving it and begin the process of its renovation and rehabilitation. While concrete has become a 20th century emblem, much of the world's heritage from this period is unrecognized or undervalued, and therefore it is at risk and in need of analysis and protection. Innovative technologies and solutions are needed that contribute to the successful reuse of modern concrete built heritage. Indeed, such structures are plagued by significant deterioration and most of them are in urgent need of retrofitting and/or radical refurbishment. In other words, there is a need to bring some of these buildings back to life, while respecting the spirit of their original characters, through new technologies for long-term conservation that can maintain an adequate level of structural performance. Achieving this goal would produce substantial economic impacts through activities such as restoration, maintenance, and cultural industry. The keynote lecture, more specifically, focuses on the condition assessment, monitoring and preservation of 20th century architectural heritage characterized by a complex spatial structural design. The service life of civil and cultural heritage concrete spatial structures is typically thought to range from 10 to 200 years, but in practice the service environment plays a pivotal role in sustained durability. Indeed, the collapse of Polcevera Viaduct in Genoa has raised strong concerns on the durability of concrete structures conceived at that time. The scientific community has once again underlined the important role played by maintenance and continuous structural health monitoring in avoiding these disastrous events. In order to demonstrate a correct approach to condition monitoring of concrete spatial buildings and bridges, some important experiences are described that were recently obtained at the Polytechnic of Turin on the structural analysis, seismic vulnerability and condition assessment for iconic 20th century heritage buildings. © 2020 IABSE Symposium, Wroclaw 2020: Synergy of Culture and Civil Engineering - History and Challenges, Report. All rights reserved.","20th century heritage buildings; Concrete; Condition assessment; Morandi; Nervi; Preservation; Seismic assessment; Structural health monitoring; Turin exhibition center","Bridges; Concrete buildings; Concrete construction; Condition monitoring; Deterioration; Durability; Historic preservation; Risk assessment; Structural analysis; Structural health monitoring; Architectural heritage; Condition assessments; Continuous structural health monitoring; Durability of concrete structure; Innovative technology; Long-term conservation; Significant deteriorations; Structural performance; Concretes",,,,,,,,"CERAVOLO, R., DE LUCIA, G., LENTICCHIA, E., MIRAGLIA, G., Seismic Structural Health Monitoring of Cultural Heritage Structures (2019) Seismic Structural Health Monitoring, pp. 51-85. , Series: Springer Tracts in Civil Engineering, Limongelli M.P. and Çelebi M. eds, Chapter 3; CERAVOLO, R., LENTICCHIA, E., Diagnosis and preservation of 20TH Century architectural Heritage: From the first thin shell solutions to the iconic structures built by Pier Luigi Nervi and Riccardo Morandi in Turinm (2019) Keynote of the 7th Structural Engineers World Congress, pp. 165-179. , Istanbul, Turkey; https://www.icomos.org/charters/structures-e.pdf; MACDONALD, S., CROFT, S., (2019) Concrete: Case Studies in Conservation Practice, , (eds), Getty Conservation Institute, Series: Conserving Modern Heritage, Los Angeles (CA); CARBONARA, G., (1996) Trattato di restauro architettonico, , UTET, Torino, (in Italian); CHIORINO, C., Problems and Strategies for Conservation of Pier Luigi Nervi's Heritage (2013) Journal of the IASS, 54 (2-3), pp. 221-232; HESSE, M.M., (1963) Models and Analogies in Science, , Sheed & Ward, New York; MARCHIS, V., (1988) Modelli. Esperimenti di simulazione al computer, , SEI, Torino, (in Italian); BERTOLINI, C., CHIABRANDO, F., INVERNIZZI, S., MARZI, T., SPANO', A., The thin concrete vault of the Paraboloide of Casale, Italy. Innovative methodologies for the survey, structural assessment and conservation interventions (2014) Proceedings of Structural Faults & Repair conference, , Edinburgh; OBERTI, G., Le développement des essais sur modèles réduits de structures et l'exploitation des résultats (1966) IABSE publications, 26, pp. 345-363; CERAVOLO, R., DE LUCIA, G., MIRAGLIA, G., PECORELLI, M.L., Thermoelastic finite element model updating with application to monumental buildings (2019) Computer-Aided Civil and Infrastructure Engineering, , https://doi.org/10.1111/mice.12516; MIRAGLIA, G., (2019) Hybrid simulation techniques in the structural analysis and testing of architectural heritage, , PhD Thesis, Polytechnic of Turin; BURSI, O.S., ABBIATI, G., REZA, M.S., A novel hybrid testing approach for piping systems of industrial plants (2014) Smart Structures and Systems, 14 (6), pp. 1005-1030; FARRAR, C.R., WORDEN, K., An introduction to Structural Health Monitoring (2007) Phil. Trans. R. Soc. A, 365, pp. 303-315; CERAVOLO, R., MATTA, E., QUATTRONE, A., ZANOTTI FRAGONARA, L., Amplitude dependence of equivalent modal parameters in monitored buildings during earthquake swarms (2018) Earthquake Engineering & Structural Dynamics, 46 (14), pp. 2399-2417; LENTICCHIA, E., CERAVOLO, R., CHIORINO, C., Damage scenario-driven strategies for the seismic monitoring of XX century spatial structures with application to Pier Luigi Nervi's Turin Exhibition Centre (2017) Engineering Structures, 137, pp. 256-267; CERAVOLO, R., COLETTA, G., LENTICCHIA, E., LI, L., QUATTRONE, A., ROLLO, S., In-Operation Experimental Modal Analysis of a Three Span Open-Spandrel RC Arch Bridge (2019) Proceedings of ARCH, pp. 491-499; CERAVOLO, R., ABBIATI, G., Time domain identification of structures: A comparative analysis of output-only methods (2013) Journal of Engineering Mechanics (ASCE), 139 (4), pp. 537-544; FRISWELL, M.I., MOTTERSHEAD, J.E., AHMADIAN, H., Finite element model updating using experimental test data: Parametrization and regularization (2001) Phil. Trans. R. Soc. A, 359, pp. 169-186; LENTICCHIA, E., CERAVOLO, R., INVERNIZZI, S., Experimental dynamic behavior of an of an historical thin shell structure in concrete: The Paraboloide of Casale Monferrato (2019) Proceedings of ICSA 2019 4th International Conference on Structures and Architecture, pp. 350-360; NERVI, P.L., (1956) Structures, , McGraw-Hill Book Company, Inc., New York; CERAVOLO, R., CHIORINO, C., CHIORINO, M. A., ISOLA, A., ISOLA, S., LENTICCHIA, E., LUCIANI, L, MONEO, R., Preservation and rehabilitation strategies for the shell and spatial structures by Nervi and Morandi of the Turin Exhibition Center (2018) Proceedings of the IASS Symposium; BONADÈ BOTTINO, V., MORANDI, R., (1959) Sistemazione area del Galoppatoio in Torino. Calcoli di stabilità, , Roma, 2 Aprile Archivio Maire Tecnimont, Torino, 1959 (in Italian); LEVI, F., CHIORINO, M.A., Concrete in Italy. A review of a century of concrete progress in Italy, Part 1: Technique and architecture (2004) ACI Concrete Int, 26 (9), pp. 55-61; LENTICCHIA, E., CERAVOLO, R., ANTONACI, P., Sensor Placement Strategies for the Seismic Monitoring of Complex Vaulted Structures of the Modern Architectural Heritage (2018), 2018, p. 3739690. , https://doi.org/10.1155/2018/3739690, Shock Vib., ID: 3739690, Article ID; (2012) Non-Destructive Assessment of Concrete Structures: Reliability and Limits of Single and Combined Techniques, , RILEM, Breysse D. ed., Springer; http://www.torinoesposizionigetty.polito.it; (2019) Prove di caratterizzazione meccanica dei materiali e prove di carico sulle strutture di copertura del Padiglione V Torino Esposizioni, , MASTRLAB, Politecnico di Torino, (in Italian); (2019) Relazione sulle prove di caratterizzazione dinamica del Padiglione Morandi di Torino Esposizioni, , Laboratorio di Dinamica e Sismica del Politecnico di Torino, (in Italian); CERAVOLO, R., COLETTA, G., LENTICCHIA, E., MINERVINI, D., QUATTRONE, A., Dynamic investigations on the health state and seismic vulnerability of Morandi's Pavilion V of Turin Exhibition Center (2020) Proceedings of the IABSE Symposium on Synergy of Culture and Civil Engineering-History and Challenges, , Wrocaw, Poland, October 7-9; EUROCODE, C. E. N., (2001) Basis of structural design, , European Standard EN; (2001) Probabilistic assessment of existing structures, , JOINT COMMITTEE ON STRUCTURAL SAFETY. RILEM Publ; DITLEVSEN, O., MADSEN, H.O., (1996) Structural reliability methods, , New York: Wiley; (1939) Norme per l'esecuzione delle opere in conglomerato cementizio semplice od armato, , RD 2229/1939, (in Italian)","Ceravolo, R.; Geotechnical and Building Engineering, Italy; email: rosario.ceravolo@polito.it","Bien J.Biliszczuk J.Hawryszkow P.Hildebrand M.Knawa-Hawryszkow M.Sadowski K.","Allplan;BERD;Budimex;et al.;Maurer;Research and Design Office MOSTY-WROCLAW","International Association for Bridge and Structural Engineering (IABSE)","1st IABSE Online Symposium Wroclaw 2020: Synergy of Culture and Civil Engineering - History and Challenges","7 October 2020 through 9 October 2020",,167847,,9783857481697,,,"English","IABSE Symp., Wroclaw: Synerg. Cult. Civ. Eng. - Hist. Challenges, Rep.",Conference Paper,"Final","",Scopus,2-s2.0-85103456294
"Fang Y.M., Chou T.Y., Van Hoang T., Lee B.J.","52963402600;8690206800;57210914393;7405439560;","Automatic management and monitoring of bridge lifting: A method of changing engineering in realtime",2019,"Sensors (Switzerland)","19","23","5293","","",,,"10.3390/s19235293","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075943425&doi=10.3390%2fs19235293&partnerID=40&md5=c2feb45dac7afdd696c414a98adbcc6d","Geographic Information Systems Research Center, Feng Chia University, Taichung, 40724, Taiwan; College of Construction, Department of Civil Engineering, Feng Chia University, Taichung, 40724, Taiwan","Fang, Y.M., Geographic Information Systems Research Center, Feng Chia University, Taichung, 40724, Taiwan; Chou, T.Y., Geographic Information Systems Research Center, Feng Chia University, Taichung, 40724, Taiwan; Van Hoang, T., Geographic Information Systems Research Center, Feng Chia University, Taichung, 40724, Taiwan; Lee, B.J., College of Construction, Department of Civil Engineering, Feng Chia University, Taichung, 40724, Taiwan","In recent years, owing to the increase of extreme climate events due to global climate change, the foundational erosion of old bridges has become increasingly serious. When typhoons have approached, bridge foundations have been broken due to the insufficient bearing capacity of the bridge column. The bridge bottoming method involves rebuilding the lower structure while keeping the bridge surface open, and transferring the load of the bridge temporarily to the temporary support frame to remove the bridge base or damaged part with insufficient strength. This is followed by replacing the removed bridge base with a new bridge foundation that meets the requirements of flood and earthquake resistance. Meanwhile, monitoring plans should be coordinated during construction using the bottoming method to ensure the safety of the bridge. In the case of this study, the No. 3 line Wuxi Bridge had a maximum bridge age of 40 years, where the maximum exposed length of the foundation was up to 7.5 m, resulting in insufficient flood and earthquake resistance. Consequently, a reconstruction plan was carried out on this bridge. This study took the reconstruction of Wuxi Bridge as the object and established a finite element model using the SAP 2000 computer software based on the secondary reconstruction design of the Wuxi Bridge. The domestic bridge design specification was used as the basis for the static and dynamic analyses of the Wuxi Bridge model. As a result of the analysis, the management value of the monitoring instrument during construction was determined. The calculated management values were compared with the monitoring data during the construction period to determine the rationality of the management values and to explore changes in the behavior of the old bridges and temporary support bridges. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.","Bridge dynamics; Lifting method; Structural health monitoring (SHM)","Climate change; Earthquake engineering; Earthquakes; Floods; Structural health monitoring; Automatic management; Bridge dynamics; Construction period; Global climate changes; Lifting method; Monitoring instruments; Static and dynamic analysis; Structural health monitoring (SHM); Bridges; adult; article; earthquake; finite element analysis; software",,,,,"Feng Chia University, FCU: MOST20181118","Funding: This article is the result of the state-level project titled “Road No.3 Wuxi Bridge Monitoring System in Taiwan”, and has been financed by Geographic Information Systems Research Center, Feng Chia University, Taiwan. Grant number MOST20181118.",,"Xu, Y.L., Xia, Y., (2011) Structural Health Monitoring of Long-Span Suspension Bridges, , CRC Press: Boca Raton, FL, USA; Roberts, G.W., Meng, X., Dodson, A., The use of kinematic GPS and triaxial accelerometers to monitor the deflection of large bridges (2001) Proceedings of the 10Th International Symposium on Deformation Measurement, pp. 19-22. , Orange, CA, USA, March; Tamura, Y., Matui, M., Panini, L.-C., Ishibashi, R., Yoshida, A., Measurement of wind-induced response of buildings using RTK-GPS (2002) J. Wind Eng. Ind. Aerodyn, 90, pp. 1783-1793; Andersen, E., Pederson, L., Structural monitoring of the Great Belt East Bridge (1994) Symp. Strait Crossings, 94, pp. 189-195; Sumitoro, S., Matsui, Y., Kono, M., Okamoto, T., Fujii, K., Long span bridge health monitoring system in Japan (2011) Proceedings of the 6Th Annual International Symposium on NDE for Health Monitoring and Diagnostics, pp. 4-8. , Newport Beach, CA, USA, March; Chan, T.H., Yu, L., Tam, H.Y., Ni, Y.Q., Liu, S., Chung, W., Cheng, L., Fiber bragg grating sensor for structural health monitoring of Tsing Ma Bridge: Background and experimental observation (2006) Eng. Struct., 28, pp. 648-659; Wang, H., Tao, T., Li, A., Zhang, Y., Structural health monitoring system for Sutong cable-stayed bridge (2016) Smart Struct. Syst., 18, pp. 317-334; Zhou, G.-D., Yi, T.-H., Recent development on wireless sensor network technology for bridge health monitoring (2013) Math. Probl. Eng., 2013, pp. 1-3; Li, H.-N., Li, D.-S., Ren, L., Yi, T.-H., Jia, Z.-G., Li, K.-P., Structural health monitoring of innovative civil engineering structures in mainland China (2016) Struct. 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Bridge Eng., 165, pp. 105-123; Meng, X., Xie, Y., Bhatia, P., Sowter, A., Psimoulis, P., Colford, B., Ye, J., Ge, M., Research and development of a pilot project using GNSS and Earth Observation (GeoSHM) for structural health monitoring of the Forth Road Bridge in Scotland (2016) Proceedings of the Joint International Symposium on Deformation Monitoring, , Vienna, Austria, 30 March–1 April; Meng, X., Nguyen, D.T., Xie, Y., Owen, J.S., Psimoulis, P., Ince, S., Chen, Q., Bhatia, P., Design and Implementation of a New System for Large Bridge Monitoring—GeoSHM (2018) Sensors, 18, p. 775; Jenkins, C.H., Kjerengtroen, L., Oestensen, H., Sensitivity of parameter changes in structural damage detection (1997) Shock Vib, 4, pp. 27-37; Jang, P.A., (2011) Videogrammetric Technique-Based Monitoring of Structural Vibration, , Master’s Thesis, Zhejiang University, Hangzhou, China; Chang, P.C., Flatau, A., Liu, S.C., Review paper: Health monitoring of civil infrastructure (2003) Struct. Health Monit., 2, pp. 257-267; Zhao, X., Liu, H., Yu, Y., Xu, X., Hu, W., Li, M., Ou, J., Bridge Displacement Monitoring Method Based on Laser Projection-Sensing Technology (2015) Sensors, 15, pp. 8444-8463; Lovse, J.W., Teskey, W.F., Lachapelle, G., Cannon, M.E., 7-Dynamic Deformation Monitoring of Tall Structure Using GPS Technology (1995) J. Surv. Eng., 121, pp. 35-40; Psimoulis, P.A., Stiros, S.C., Measurement of deflections and of oscillation frequencies of engineering structures using robotic theodolites (RTS) (2007) Eng. 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Mater., 7, pp. 469-475; Chen, Z., Zhou, X., Wang, X., Dong, L., Qian, Y., Deployment of a smart structural health monitoring system for long-span Arch Bridges: A review and a case study (2017) Sensors, 17, p. 2151; Xin, J., Zhou, J., Yang, S.X., Li, X., Wang, Y., Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model (2018) Sensors, 18, p. 298; Bedon, C., Bergamo, E., Izzi, M., Noè, S., Prototyping and Validation of MEMS Accelerometers for Structural Health Monitoring—The Case Study of the Pietratagliata Cable-Stayed Bridge (2018) J. Sens. Actuator Netw., 7, p. 30; Reilly, J., Glisic, B., Identifying Time Periods of Minimal Thermal Gradient for Temperature-Driven Structural Health Monitoring (2018) Sensors, 18, p. 734; Thalla, O., Stiros, S.C., Wind-Induced Fatigue and Asymmetric Damage in a Timber Bridge (2018) Sensors, 18, p. 3867; (1990) Highway Bridge Design Code; the Ministry of Transportation and Communications, , Taipei, Taiwan, In Chinese","Van Hoang, T.; Geographic Information Systems Research Center, Taiwan; email: van@gis.tw",,,"MDPI AG",,,,,14248220,,,"31805645","English","Sensors",Article,"Final","All Open Access, Gold, Green",Scopus,2-s2.0-85075943425
"Manos G.C., Simos N., Lambri-Gaitana N.","56606403500;7003673356;57214780664;","Dynamic and seismic behaviour of stone masonry arch bridges in Greece utilising in-situ measurements and numerical predictions",2019,"COMPDYN Proceedings","1",,,"282","299",,,"10.7712/120119.6919.19262","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079095334&doi=10.7712%2f120119.6919.19262&partnerID=40&md5=6c856f003723dd4e54954006af3de0d4","Lab. Strength of Materials and Structures, Aristotle University, Greece; Brookhaven National Laboratory, United States","Manos, G.C., Lab. Strength of Materials and Structures, Aristotle University, Greece; Simos, N., Brookhaven National Laboratory, United States; Lambri-Gaitana, N., Lab. Strength of Materials and Structures, Aristotle University, Greece","Stone masonry arch bridges used to be a very important part of the transportation system of the numerous communities living at the mountainous regions of Greece. The wide spread use of car transport after the mid-twentieth century dictated the construction of modern reinforced concrete bridges as part of a new road network. However, a new interest was generated in these structures that have the status of cultural heritage in need of preservation. The present study presents a series of in-situ measurements conducted at selected old stone masonry bridges, using up-to-date system identification techniques, in an effort to identify their dynamic characteristics in terms of eigen-frequencies, eigen-modes and damping properties. All these information is part of a data base that can be used in the future as a reference for identifying noticeable changes in these dynamic characteristics as part of a structural health monitoring effort for these bridges. Moreover, this information provides a basis for building realistic numerical simulations towards studying the structural behaviour of such stone masonry bridges and assessing their expected structural behaviour in extreme future seismic events. Selected in-situ measurements are presented together with their use in building numerical models of various levels of complexity. These numerical models are finally utilized in assessing the expected performance of specific case studies of stone masonry bridge structures in Greece towards meeting the demands of extreme events that include design earthquake loads. The described system identification technique can also be linked to specific actions, such as earthquake activity, and thus serve as warning for specific maintenance counter-measures. Copyright © 2019 COMPDYN Proceedings. All rights reserved.","Foundation Deformability; In-situ Vibration Measurements; Numerical Simulation; Stone Masonry Bridges; System Identification","Arch bridges; Arches; Computational methods; Computer simulation; Earthquakes; Electric measuring bridges; Engineering geology; Historic preservation; Identification (control systems); Masonry bridges; Masonry construction; Numerical models; Reinforced concrete; Religious buildings; Seismic response; Structural dynamics; Structural health monitoring; Dynamic characteristics; Earthquake activity; In-situ vibrations; Mountainous regions; Numerical predictions; Structural behaviour; System identification techniques; Transportation system; Earthquake engineering",,,,,,,,"Manos, G.C., Nick Simos, N., Kozikopoulos, E., The structural performance of stone-masonry bridges (2016) Structural Bridge Engineering, , http://dx.doi.org/10.5772/64752, Chapter 4 Print ISBN 978-953-51-2688-1; (2007) Center of Environmental Education Makrinitsas, , http://kpemakrin.mag.sch.gr,e-mail:mail@kpe-makrin, The stone masonry arch bridges of Greece Editor G. Grassos, Greek. mag.sch.gr; Psimarni, K., Georgopoulos, A., Balodimos, D.D., Development of a geographic information system for the traditional bridges of central Zagori (2000) Report to the Municipality of Zagori, , Greek; Aoki, T., Theoretical and experimental dynamic analysis of Rakanji stone arch bridge, Honyabakei, Oita, Japan (2007) 7th International Conference on Motion and Vibration Control, , MOvIC 04; Barıs, S., Finite element model calibration effects on the earthquake response of masonry arch bridges (2011) Finite Elements in Analysis and Design, 47, pp. 621-634. , 2011; Manos, G.C., Field experiments for monitoring the dynamic soil-structure-foundation response of model structures at a Test Site (2015) Journal of Structural Engineering, American Society of Civil Engineers, Special Issue “Field Testing of Bridges and Buildings, 141 (1). , D4014012,. January 2015; Manos, G.C., Kozikopoulos, E., In-situ Measured Dynamic Response of the Bell Tower of Agios Gerasimos in Lixouri-Kefalonia, Greece and its Utilization of the Numerical Predections of its Earthquake Response (2015) COMPDYN 2015, , Greece, 25-27 May 2015; Ozden Caglayan, B., Ozakgul, K., Tezer, O., Assessment of a concrete arch bridge using static and dynamic load tests (2012) Structural Engineering and Mechanics, 41 (1), pp. 83-94. , 2012; Simos, N., Manos, G.C., Numerical analysis of seismic response of natural stone arch bridges-field observations and a case study (2013) COMPDYN 2013, , http://www.eccomasproceedings.org/cs2013/; Manos, G.C., Kozikopoulos, E., The dynamic and Earthquake Response of Basilica Churches in Kefalonia, Greece including Soil-Foundation Deformability and Wall Detachment (2015) COMPDYN 2015, , Greece, 25-27 May 2015; Integrated Software for Structural Analysis and Design, , SAP2000, Computers and Structures Inc; (2004) Eurocode 8 - Design of Structures for Earthquake Resistance - Part 1 and Part 2: Bridges, , DRAFT 3. European Committee for Standardization; (1999) Revisions of Seismic Zonation Introduced in 2003, , Provisions of Greek Seismic Code 2000, OASP, Athens, December; Data Base of Greek Earthquake Strong Motions, , Institute of Engineering Seismology and Earthquake Engineering ITSAK; Manos, G.C., Kotoulas, L., Soulis, V., Felekidou, O., Numerical simulation of the limit non-linear behaviour of unreinforced masonry under in-plane state of stress from gravitational and seismic actions (2015) COMPDYN 2015, , Greece, 25-27 May 2015; Kiyono, J., (2012) Seismic Assessment of Stone Arched Bridges, , 15 WCEE, Lisboa, Portugal, 2012; Drosopoulos, G.A., Stavroulakis, G.E., Massalas, C.V., Limit analysis of a single span masonry bridge with unilateral frictional contact interfaces (2006) Engineering Structures, 28, pp. 1864-1873. , 2006; Korompilias, D., (2015) Study of the Inelastic Behaviour of the Konitsa Bridge Using an Inelastic Model for Masonry and Applying Strengthening Methods, , PhD Thesis, Univ. Of Patras, Greece, 2015 in Greek; Papanastasiou, D., The Konitsa, Epirus NW Greece, July 26 (Ms = 5.4) and August 5, 1996, (Ms = 5.7) earthquakes sequence (2001) Bull. Geol. Soc. Greece, 34, pp. 1555-1562; Spyrakos, C.C., Maniatakis, C.A., Taflambas, J., Evaluation of near-source seismic records based on damage potential parameters Case study: Greece (2008) Soil Dynamics and Earthquake Engineering, 28, pp. 738-753. , 2008; Manos, G.C., Consequences on the urban environment in Greece related to the recent intense earthquake activity (2011) Int. Journal of Civil Eng. And Architecture, 5 (12), pp. 1065-1090. , Dec., Serial 49); Galanakis, D., Paschos, P., Neotectonic activity of Konitsa area and the 1996 earthquakes (2007) Hellenic Journal of Geosciences, 42, pp. 57-64; Manos, G.C.G.C., Kozikopoulos, E., Kotoulas, L., Simos, N., In-situ Measurements Related to the Performance of Stone Masonry Bridges in Greece (2017) COMPDYN 2017, 6th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, , M. Papadrakakis, M. Fragiadakis (eds.), Rhodes Island, Greece, 15-17 June 2017; Simos, N., Manos, G.C., Kozikopoulos, E., Near- And far-field earthquake damage study of the Konitsa stone arch bridge (2018) Engineering Structures, 177, pp. 256-267. , https://doi.org/10.1016/j.engstruct.2018.09.072, 2018; Ruocci, G., Quattrone, A., Fragonara, L.Z., Ceravolo, R., de Stefano, A., Experimental testing of a masonry arch bridge model subject to increasing level of damage (2013) IRIS, Chapter 6, Industrial Safety and Life Cycle Engineering, VCE Vienna Consulting Engineers, , www.vce.at; Milas, I., (2016) Stone Bridges, , Ethnos Travel Book, Ethnos Publications, Greek; The Gazette of the Greek Government, , ΦΕΚ 352/Β/31-5-1967) and (ΦΕΚ 194/Β/21-2-2000), (in Greek; Papazachos, B.K., Papazachou, K., (1989) Earthquakes in Greece, , Ziti publishers, Thessaloniki, Greece, Greek; Galeridis, A., (1995) The Stone Masonry Bridges in Thessalia, , Technical Chamber of Greece, Eptalofos, Athens, Greece In Greek",,"Papadrakakis M.Fragiadakis M.",,"National Technical University of Athens","7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2019","24 June 2019 through 26 June 2019",,157145,26233347,9786188284463,,,"English","COMPDYN Proceedings",Conference Paper,"Final","",Scopus,2-s2.0-85079095334
"Neves A.C., Leander J., González I., Karoumi R.","57208017647;30467830300;57192368654;6505962168;","Application of a model-free ANN approach for SHM of the Old Lidingö Bridge",2019,"IABSE Symposium, Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management - Report",,,,"200","211",,,,"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065256718&partnerID=40&md5=794c319bdc0f672cdc8a640d8f9f1ea0","KTH Royal Institute of Technology, Stockholm, Sweden","Neves, A.C., KTH Royal Institute of Technology, Stockholm, Sweden; Leander, J., KTH Royal Institute of Technology, Stockholm, Sweden; González, I., KTH Royal Institute of Technology, Stockholm, Sweden; Karoumi, R., KTH Royal Institute of Technology, Stockholm, Sweden","This paper explores the decision making problem in SHM regarding the maintenance of civil engineering structures. The aim is to assess the present condition of a bridge based exclusively on measurements using the suggested method in this paper, such that action is taken coherently with the information made available by the monitoring system. Artificial Neural Networks are trained and their ability to predict structural behaviour is evaluated in the light of a case study where acceleration measurements are acquired from a bridge located in Stockholm, Sweden. This relatively old bridge is presently still in operation despite experiencing obvious problems already reported in previous inspections. The prediction errors provide a measure of the accuracy of the algorithm and are subjected to further investigation, which comprises concepts like clustering analysis and statistical hypothesis testing. These enable to interpret the obtained prediction errors, draw conclusions about the state of the structure and thus support decision making regarding its maintenance. © 2019 IABSE. All rights reserved.","Artificial Neural Networks; Clustering analysis; Model free damage detection; Statistical Hypothesis Testing; Structural Health Monitoring","Asset management; Damage detection; Decision making; Environmental management; Forecasting; Neural networks; Statistical tests; Civil engineering structures; Clustering analysis; Decision-making problem; Model free; Monitoring system; Statistical hypothesis testing; Stockholm , Sweden; Structural behaviour; Structural health monitoring",,,,,,,,"Farrar, C.R., Worden, K., (2013) Structural Health Monitoring. A Machine Learning Perspective, , Wiley; Pimentel, M.A.F., Clifton, D.A., Clifton, L., Tarassenko, L., A review of novelty detection (2014) Signal Processing, 99, pp. 215-249; Ett Tåg Mot Ropsten Bestående Av A36 553 På Lidingöbron Den 6 December 2015” [A Train towards Ropsten Consisting of A36 553 on Lidingö Bridge], , Foto Markus Tellerup; Lundmark, T., (2006) Gamla Lidingöbron. Rapport 2006-01-31, , Old Lidingö Bridge. Report 2006-01-31, Ramböll Sverige AB; Ahne, A., (2015) Sammanfattning Av 2015 Års Inspektioner – Gamla Lidingöbron. Rapport 2015-12-03"" [Summary of the 2015 Inspections – Old Lidingö Bridge, , Report 2015-12-03, Grontmij Anläggningsunderhåll Stockholm; Ansell, A., (2003) Töjningsmätning Vid Tågpassage Över Gamla Lidingöbron. TRITABKN-BKN. Rapport 73” [Strain Measurements Due to Train Passages over the Old Lidingö Bridge, , TRITABKN-BKN. Report 73, Kungliga Tekniska högskolan; Ansell, A., (2004) Töjningsmätning Vintertid Vid Tågpassage Över Gamla Lidingöbron. TRITA-BKN. Rapport 75"" [Strain Measurements Due to Train Passages over the Old Lidingö Bridge during Wintertime, , TRITABKN-BKN. Report 75, Kungliga Tekniska högskolan; Karoumi, R., (2012) Gamla Lidingöbron: Fördjupad Analys Av Mätta Accelerationer På Fundament 6 och 8"" [Old Lidingö Bridge: Comprehensive Analysis of Measured Accelerations on Foundations 6 and 8], , KTH Byggvetenskap, Stockholm; Leander, J., (2017) Gamla Lidingöbron. Töjningsmätningar – Preliminär Rapport"" [Old Lidingö Bridge: Strain Measurements – Preliminary Report], , Kungliga Tekniska Högskolan; Blum, A., (1992) Neural Networks in C++, , N.Y.: Willey; Berry, M., Linoff, G., (1997) Data Mining Techniques, , NY: John Wiley & Sons; Swingler, K., (1996) Applying Neural Networks: A Practical Guide, , London: Academic Press; Neves, C., (2017) Structural Health Monitoring of Bridges: Model-Free Damage Detection Method Using Machine Learning. Licentiate Thesis. TRITA-BKN. Bulletin 149, , Kungliga Yekniska Högskolan, Stockholm","Neves, A.C.; KTH Royal Institute of TechnologySweden; email: acneves@kth.se",,"Allplan;Brisa;Maurer;S and P","International Association for Bridge and Structural Engineering (IABSE)","IABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management","27 March 2019 through 29 March 2019",,147396,,9783857481635,,,"English","IABSE Symp., Guimaraes: Towards Resilient Built Environ. Risk Asset Manag. - Rep.",Conference Paper,"Final","",Scopus,2-s2.0-85065256718