Nondestructive quantitative estimation of cross-sectional corrosion degree of rebar using self-magnetic flux leakage field variation
Source abstract
Abstract
To accurately assess the structural performance of corroded reinforced concrete (RC) structures, acquiring accurate information on the corrosion range and corrosion degree of rebar is crucial. In this study, through a comprehensive analysis of extensive high-precision magnetic field and three-dimensional structured light scanning data from 21 corroded rebars, it was found that the self-magnetic flux leakage (SMFL) method can accurately identify the corrosion range, with an identification error not exceeding 3%. A proposed quantitative index, NHx, derived from the SMFL amplitude, exhibits a linear correlation with the cross-sectional corrosion degree of rebar. Moreover, its probability density distribution can be well described by the Weibull distribution function. By utilising the Weibull distribution function of NHx and a Bayesian model, automatic and rapid quantification of the rebar’s cross-sectional corrosion degree can be achieved based on non-destructively measured NHx values. This SMFL-based method offers a novel approach to quantifying the cross-sectional corrosion degree of steel reinforcement, thereby providing robust support for assessing the structural performance of corroded RC structures.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Concrete Corrosion and Durability · Welding Techniques and Residual Stresses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Chongqing Jiaotong University
Tongji University
Funding
China Postdoctoral Science Foundation · National Natural Science Foundation of China · Science and Technology Research Project of Chongqing Science & Technology Bureau · Program of Shanghai Science and Technology Committee · Science and Technology Research Program of Chongqing Municipal Education Commission
References (47)
Show source-provided references
1. 10.1016/j.jobe.2023.10768210.1016/j.jobe.2023.107682 ↗
2. 10.1080/15732479.2022.211879410.1080/15732479.2022.2118794 ↗
3. 10.1016/j.engstruct.2023.11666710.1016/j.engstruct.2023.116667 ↗
4. 10.1016/j.conbuildmat.2019.04.12010.1016/j.conbuildmat.2019.04.120 ↗
5. 10.1016/j.measurement.2023.11317310.1016/j.measurement.2023.113173 ↗
6. 10.1016/j.engstruct.2020.11139210.1016/j.engstruct.2020.111392 ↗
7. 10.1016/j.engstruct.2022.11411310.1016/j.engstruct.2022.114113 ↗
8. 10.1016/j.engstruct.2023.11609010.1016/j.engstruct.2023.116090 ↗
9. 10.1016/j.engstruct.2023.11603810.1016/j.engstruct.2023.116038 ↗
10. Qiu JL, Jing Y, Zhang WP, et al. A novel SMFL-based assessment method for corrosion nonuniformity of rebar and its application in reliability analysis of corroded RC beam. Struct Control Hlth. 2024;2024(1):9988034.10.1155/2024/9988034 ↗
11. 10.1016/j.engstruct.2018.04.02010.1016/j.engstruct.2018.04.020 ↗
12. 10.1061/JMCEE7.MTENG-1603710.1061/JMCEE7.MTENG-16037 ↗
13. 10.1016/j.electacta.2025.14699610.1016/j.electacta.2025.146996 ↗
14. 10.1016/j.cemconcomp.2018.07.00710.1016/j.cemconcomp.2018.07.007 ↗
15. 10.1016/j.conbuildmat.2023.13273310.1016/j.conbuildmat.2023.132733 ↗
16. 10.1016/j.cemconcomp.2021.10405110.1016/j.cemconcomp.2021.104051 ↗
17. 10.1016/j.conbuildmat.2020.11925610.1016/j.conbuildmat.2020.119256 ↗
18. 10.1016/j.engstruct.2019.11003910.1016/j.engstruct.2019.110039 ↗
19. 10.3390/rs1114170510.3390/rs11141705 ↗
20. 10.1016/j.strusafe.2021.10209810.1016/j.strusafe.2021.102098 ↗
21. 10.1016/j.autcon.2024.10551210.1016/j.autcon.2024.105512 ↗
22. 10.1016/j.conbuildmat.2023.13285510.1016/j.conbuildmat.2023.132855 ↗
23. Zhang H, Ma XT, Jiang HJ, et al. Grading evaluation of overall corrosion degree of corroded RC beams via SMFL technique. Struct Control Hlth. 2023;2023(1):6672823.
24. 10.1016/j.engstruct.2020.11016810.1016/j.engstruct.2020.110168 ↗
25. 10.1016/j.conbuildmat.2023.13448410.1016/j.conbuildmat.2023.134484 ↗
26. Ye HR, Zhang ZL, Dan YH, et al. Novel method for measurement of rebar state of cement tower. IEEE T Instrum Meas. 2020;70:1–8.
27. 10.3390/ma1213215410.3390/ma12132154 ↗
28. 10.3390/s1808263510.3390/s18082635 ↗
29. 10.1016/j.sna.2020.11237110.1016/j.sna.2020.112371 ↗
30. 10.1016/j.cemconcomp.2020.10373010.1016/j.cemconcomp.2020.103730 ↗
31. 10.1061/(ASCE)MT.1943-5533.000435610.1061/(ASCE)MT.1943-5533.0004356 ↗
32. 10.1016/j.corsci.2021.10979310.1016/j.corsci.2021.109793 ↗
33. 10.1016/j.conbuildmat.2024.13521410.1016/j.conbuildmat.2024.135214 ↗
34. 10.1007/s12205-021-2026-110.1007/s12205-021-2026-1 ↗
35. 10.1007/s13349-021-00521-910.1007/s13349-021-00521-9 ↗
36. 10.1016/j.conbuildmat.2017.07.08410.1016/j.conbuildmat.2017.07.084 ↗
37. Vu K, Stewart MG, Mullard J. Corrosion-induced cracking: experimental data and predictive models. ACI Struct J. 2005;102(5):719.
38. Yuan Y, Ji Y, Shah SP. Comparison of two accelerated corrosion techniques for concrete structures. ACI Struct J. 2007;104(3):344.
39. 10.3390/met909095210.3390/met9090952 ↗
40. 10.1364/AOP.3.00012810.1364/AOP.3.000128 ↗
41. 10.1214/aoms/117770447210.1214/aoms/1177704472 ↗
42. 10.1016/j.conbuildmat.2021.12526010.1016/j.conbuildmat.2021.125260 ↗
43. 10.1016/j.ins.2023.02.08510.1016/j.ins.2023.02.085 ↗
44. 10.1088/1742-6596/1684/1/01205710.1088/1742-6596/1684/1/012057 ↗
45. Conover WJ. Practical nonparametric statistics. John Wiley & Sons; 1999.
46. 10.1016/j.autcon.2023.10525210.1016/j.autcon.2023.105252 ↗
47. 10.1080/15732479.2022.206101610.1080/15732479.2022.2061016 ↗