Published February 28, 2022
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Three Methods in Reliability Assessment of Engineering Structure
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- 1. Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland
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- 1. Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland
Description
Abstract: The work attempts to choose the handy methods for analyzing structural reliability. Comparative analysis of the methods was performed on an example of dome truss susceptible to stability loss from the condition of node snapping. In the reliability analysis of structure the load magnitudes (P), the axial stiffness of bars (EA), coordinate nodes (Z) are represented by random variables. The criterion of structural failure is expressed by the condition of non-exceeding the admissible load multiplier. The Hasofer-Lind reliability index was determined. In analysis were used three approaches differing way of defining the limit state function: Approach 1 – using of implicit limit state function, Approach 2 – using of explicit neural state functions, Approach 3 – using of the Hybrid Monte Carlo method.
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- Journal article: 2249-8958 (ISSN)
References
- H. O. Madsen and N. C. Krenk, Methods of Structural Safety. Englewood Cliffs, USA: Prentice Hall, 1986.
- R. E. Melchers, Structural Reliability Analysis and Predictions, 2nd wyd. J. Wiley & Sons, 1996.
- O. Ditlevsen and H. Madsen, Structural Reliability Methods. Chichester, UK,: J. Wiley & Sons, 1996.
- P. Thoft-Christensen and M. J. Baker, Structural Reliability. Theory and its Applications. Springer-Verlag, 1982.
- G. Augusti, A. Baratta, and F. Casciati, Probabilistic Methods in Structural Engineering. Chapman and Hall, 1984.
- M. E. Harr, Reliability-Based Design in Civil Engineering. New York, USA: Dover Publications Inc., 2000.
- A. Nowak and K. Collins, Reliability of Structures. New York: CRC Press, 2 edition, 2013.
- K. Winkelmann and J. Górski, "The use of response surface methodology for reliability estimation of composite engineering structures", Journal of Theoretical and Applied Mechanics, vol. 52, no. 4, pp. 1019–1032, 2014, doi: DOI: https://doi.org/10.15632/jtam-pl.52.4.1019
- A. Dudzik and U. Radoń, "The reliability assessment for steel industrial building", Advances In Mechanics: Theoretical, Computational And Interdisciplinary Issues, pp. 163–166, 2016.
- A. Dudzik and B. Potrzeszcz-Sut, "Hybrid Approach to the First Order Reliability Method in the Reliability Analysis of a Spatial Structure", APPLIED SCIENCES-BASEL, vol. 11, no. 2, pp. 648, 2021, doi: 10.3390/app11020648.
- A. Dudzik and B. Potrzeszcz-Sut, "The structural reliability analysis using explicit neural state functions", w MATEC Web of Conferences, Krynica, 2018, vol. 262. doi: 10.1051/matecconf/201926210002.
- M. Grubišić, J. Ivošević, and A. Grubišić, "Reliability Analysis of Reinforced Concrete Frame by Finite Element Method with Implicit Limit State Functions", Buildings, vol. 9, no. 5, pp. 119, 2019, doi: doi.org/10.3390/buildings9050119.
- U. Radoń, W. Szaniec, and P. Zabojszcza, "Probabilistic Approach to Limit States of a Steel Dome.", Materials, vol. 14, no. 19, pp. 5528, 2021, doi: 10.3390/ma14195528.
- L. You, J. Zhang, Q. Li, and N. Ye, "Structural reliability analysis based on fuzzy random uncertainty", Eksploatacja i Niezawodnosc – Maintenance and Reliability, vol. 21, no. 4, pp. 599–609, 2019, doi: 10.17531/ein.2019.4.9.
- S. Gollwitzer, B. Kirchgäßner, R. Fischer, and R. Rackwitz, "PERMAS-RA/STRUREL system of programs for probabilistic reliability analysis. Structural Safety", Structural Safety, vol. 28, no. 1–2, pp. 108–129, 2006.
- G. I. Schuëller and H. J. Pradlwarter, "Computational stochastic structural analysis (COSSAN) – a software tool. Structural Safety", Structural Safety, vol. 28, no. 1–2, pp. 68–82, 2006.
- P. Kowalczyk, "NUMPRESS − integrated computer system for analysis and optimization of industrial sheet metal forming processes", Hutnik, Wiadomości Hutnicze, vol. 81, no. 1, pp. 55–63, 2014.
- U. Radoń, "Application method FORM in reliability analysis of node snapping truss structures" - in Polish, Kielce, 2012.
- K. Doliński, Importance Sampling Techniques in Reliability Calculation, vol. 37. Warszawa: IPPT PAN, 1988.
- C. Bucher, "Adaptive sampling—an iterative fast Monte Carlo procedure", Structural Safety, vol. 5, no. 2, pp. 119–126, 1988.
- M. Keramat and R. Kielbasa, "Latin Hypercube Sampling Monte Carlo Estimation of Average Quality Index for Integrated Circuits", Analog Integrated Circuits And Signal Processing, vol. 14, no. 1/2, pp. 131–142, 1997.
- F. Grooteman, "An Adaptive Directional Importance Sampling method for structural reliability", National Aerospace Laboratory NLR, Amsterdam, NLR-TP-2011-354, 2011.
- A. Carpentier and R. Munos, "Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions", NIPS 2012 conference proceedings, vol. 1, 2012.
- J. E. Pulido, T. L. Jacobs, and E. C. Praters de Lima, "Structural reliability using Monte Carlo simulation with variance reduction techniques on elastic-plastic structures", Computers & Structures, vol. 43, pp. 419–430, 1992.
- J. Hurtado and D. Alvarez, "Reliability assessment of structural systems using neural networks", European Congress on Computational Methods in Applied Sciences and Engineering, Barcelona, 2000.
- J. Kaliszuk, "Hybrid Monte Carlo method in the reliability analysis of structures", Computer Assisted Mechanics and Engineering Sciences, vol. 18, pp. 205–216, 2011.
- E. Pabisek, J. Kaliszuk, and Z. Waszczyszyn, "Neural and finite element analysis of a plane steel frame reliability by the Classical Monte Carlo method", Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, 1081-1086, 2004.
- MathWorks, MATLAB® Primer. The MathWorks. Inc, 1984.
Subjects
- ISSN: 2249-8958 (Online)
- https://portal.issn.org/resource/ISSN/2249-8958#
- Retrieval Number: 100.1/ijeat.C33860211322
- https://www.ijeat.org/portfolio-item/C33860211322/
- Journal Website: www.ijeat.org
- https://www.ijeat.org
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org