Non-destructive Methods for Reinforcement Mapping in Concrete Members: Databases
Authors/Creators
Description
Repository Description
This repository presents an extensive collection of published studies compiling non-destructive test (NDT) results on the identification of reinforcement properties embedded with reinforced concrete members. The NDT methods include the covermeter (CM) and ground-penetrating radar (GPR). The datasets collectively comprise 3,463 test results from 26 published studies. Covermeter results are organised into two separate datasets for rebar diameter measurements and concrete cover depth measurements. The datasets are distributed as follows:
- CM (Rebar Diameter): 835 tests from 10 studies.
- CM (Cover Depth): 1,844 tests from 15 studies.
- GPR: 784 tests from 15 studies.
Across each NDT, the measured outputs include the estimated rebar spacing, number of bars, rebar diameter, concrete cover depth, and effective depth.
Database Structure
Each database contains a mixture of numerical and categorical variables, with the following characteristics:
- CM (Rebar Diameter): 17 independent variables and 3 dependent variables.
- CM (Cover Depth): 18 independent variables and 3 dependent variables.
- GPR: 18 independent variables and 4 dependent variables.
These variables cover the material age, location, geometry, NDT parameters, and specimen design. Of the total datasets, 681 CM rebar diameter measurements, 1,284 CM cover depth measurements, and 574 GPR measurements were conducted on in-situ on in-situ structures, while the remainder were performed on laboratory-cast specimens. The datasets include numerical results from reported directly in the relevant publication, with no interpretation performed on radar or scan maps. Numerical data from visualized results (e.g., scatter plots) were extracted using an open-source computer vision-assisted software for high precision.
Project and Documentation
These databases were compiled as part of the EU-funded ReCreate project. The ReCreate project researches the process of reusing precast concrete elements through four real-life deconstruction and reuse pilots in Europe. The project aims to assess and improve the technical feasibility of a circular life cycle for structural precast elements across the entire value chain from disassembly, quality control, design for reuse and reconstruction.
A manuscript applying this dataset to empirical and machine learning models is under review and will be linked here upon publication.
For detailed descriptions of nomenclature, abbreviations, and assumptions, refer to the Database Guide PDF included in this repository.
Files
Covermeter Database - Cover Depth.csv
Additional details
References
- Agred, K. (2019). Localisation automatique des aciers et caractérisation de la teneur en eau du béton armé par radar double-offset àgrand rendement [Automatic localization of steels and characterization of the water content of reinforced concrete by double-offset radar at high yield]. PhD Thesis. University of Toulouse, Toulouse, France. [in French].
- Akingbonmire, S. L., Afolayan, J. O., & Olanitori, L. M. (2021). Evaluation of Concrete Cover Depth of Selected Institutional Buildings Using Profoscope. International Journal of Engineering, 1– 6.
- Al-Neshawy, F., Ragaa, A. B., & Puttonen, J. (2023). Using non-destructive testing methods for locating the steel reinforcement in reinforced concrete structures. International Conference on Non-Destructive Evaluation of Concrete in Nuclear Applications, 335–344. https://www.ndt.net/?id=27838
- Barnes, R., & Zheng, T. (2008). Research on Factors Affecting Concrete Cover Measurement. The E-Journal of Non-destructive Testing, 1–7. www.ndt.net/search/docs.php3?MainSource=25
- Chang, C. W., Lin, C. H., & Lien, H. S. (2009). Measurement radius of reinforcing steel bar in concrete using digital image GPR. Construction and Building Materials, 23(2), 1057–1063. https://doi.org/10.1016/j.conbuildmat.2008.05.018
- Donkervoort, J. (2024). Reuse of concrete elements. Master's Graduation Thesis. Eindhoven University of Technology, Eindhoven, the Netherlands. 204 p.
- Drobiec, L., Gorski, M., Krzywon, R., & Kowalczyk, R. (2008). Comparison of Non-Destructive Electromagnetic Methods of Reinforcement Detection in RC Structures. Challenges for Civil Construction.
- Drobiec, Ł., Jasiński, R., & Mazur, W. (2019). Accuracy of eddy-current and radar methods used in reinforcement detection. Materials, 12(7). https://doi.org/10.3390/ma12071168
- Hiltunen, D. R., Algernon, D., & Ferraro, C. C. (2010). Validation of Non-destructive Testing Equipment for Concrete - Final Report. Florida Department of Transportation Research Center. 142 p.
- Hugenschmidt, J. (2002). A One-To-One Comparison Between Radar Results and Reality on a Concrete Bridge. In S. K. Koppenjan & H. Lee (Eds.), Ninth International Conference on Ground Penetrating Radar. Santa Barbara, USA.
- Hugenschmidt, J. (2005). Zuverlässigkeit und Genauigkeit von Georadar-Ergebnissen auf Betonbrücken [Reliability and accuracy of georadar results on concrete bridges]. Swiss Federal Laboratories for Materials Science and Technology, EMPA. [in German]. https://www.dora.lib4ri.ch/empa/islandora/object/empa:32913
- Hugenschmidt, J., & Mastrangelo, R. (2006). GPR inspection of concrete bridges. Cement and Concrete Composites, 28(4), 384–392. https://doi.org/10.1016/j.cemconcomp.2006.02.016
- Hugenschmidt, J., & Wenk, F. (2016). Rebar Diameter and Rebar Orientation Using Different Antenna Polarizations. 16th International Conference of Ground Penetrating Radar (GPR). Hong Kong Polytechnic University, Hong Kong.
- Jazayeri, S., Kruse, S., Hasan, I., & Yazdani, N. (2019). Reinforced concrete mapping using full-waveform inversion of GPR data. Construction and Building Materials, 229. https://doi.org/10.1016/j.conbuildmat.2019.117102
- Kairu, W. M. (2016). Non-Destructive Testing of Concrete Structures Using Schmidt Hammer and Profometer 5+. Master's Graduation Thesis. University of Nairobi, Nairobi, Kenya
- Lakshmi, K. A., & Rahamath, A. (2017). Estimation of Rebar Diameter Using Ground Penetrating Radar. International Journal of Advances in Scientific Research and Engineering (Ijasre) E-ISSN, 3(1), 370–375.
- Luco, L. F. (2005). Comparative test - Part II - Comparative test of "Covermeters." Materials and Structures/Materiaux et Constructions, 38(284), 907–911. https://doi.org/10.1617/14432
- Rathod, H., Debeck, S., Gupta, R., & Chow, B. (2019). Applicability of GPR and a rebar detector to obtain rebar information of existing concrete structures. Case Studies in Construction Materials, 11. https://doi.org/10.1016/j.cscm.2019.e00240
- Sangoju, B., & Ramanjaneyulu, K. (2015). Estimation of Rebar Diameter in Concrete Structural Elements using Ground Penetrating Radar. NDE2015. http://www.ndt.net/?id=21143
- Sangoju, B., Vasanthakumar, S., Ramanjaneyulu, K., & Sivasubramanian, K. (2017). Rebar identification, cover thickness and diameter estimation in reinforced concrete members using cover meter and GPR techniques. The Indian Concrete Journal, 91(0), 00–10.
- Selek, I. (2015). Reliability of non-destructive testing methods for detecting steel rebar in existing concrete structures. Master's Graduation Thesis. Eindhoven University of Technology, Eindhoven, Netherlands. 83 p.
- Sivasubramanian, K., Jaya, K., & Neelemegam, M. (2013). Covermeter for identifying cover depth and rebar diameter in high strength concrete. International Journal of Civil and Structural Engineering, 3(3), 7. https://doi.org/10.6088/ijcser.2012030130511
- Stryk, J., Matula, R., & Pospisil, K. (2013). Possibilities of ground penetrating radar usage within acceptance tests of rigid pavements. Journal of Applied Geophysics, 97, 11–26. https://doi.org/10.1016/j.jappgeo.2013.06.013
- Wiwatrojanagul, P., Sahamitmongkol, R., & Tangtermsirikul, S. (2018). A method to detect lap splice in reinforced concrete using a combination of covermeter and GPR. Construction and Building Materials, 173, 481–494. https://doi.org/10.1016/j.conbuildmat.2018.04.027
- Zhan, R., & Xie, H. (2009). GPR measurement of the diameter of steel bars in concrete specimens based on the stationary wavelet transform. Insight: Non-Destructive Testing and Condition Monitoring, 51(3), 151–155. https://doi.org/10.1784/insi.2009.51.3.151
- Zhou, F., Chen, Z., Liu, H., Cui, J., Spencer, B. F., & Fang, G. (2018). Simultaneous estimation of rebar diameter and cover thickness by a GPR-EMI dual sensor. Sensors (Switzerland), MDPI, 18(9). https://doi.org/10.3390/s18092969