journal article·2022-01-02

Corrosion non-destructive testing of loaded steel strand based on self-magnetic flux leakage effect

Runchuan Xia, Hong Zhang, Jianting Zhou, Leng Liao, Wenqi Yang, Ya Li

Publisher page

Abstract

The metal magnetic memory is used to detect the micro damage of structure based on the SMFL (self-magnetic flux leakage) effect, but it lacks an effective comprehensive diagnosis index suitable for the ferromagnetic material. In this paper, steel strand specimens were tensioned at different force levels, and the experimental study on the corrosion detection was carried out. Besides the monitoring analysis of the cable force, the initial structural magnetic field ΔBx0 and the surface SMFL signals Bx(α) induced by corrosion were both analysed. The results show that ΔBx0 curves of steel strand material present the periodic fluctuation. Considering ΔBx0 and measuring distance z, the proposed dimensionless damage analysis index X can be used for the quantitative research of corrosion diagnosis. The small influence of the cable force on index X is also illustrated. Moreover, the strong correlation that exists between the average maximum index Xmax‾ and the corrosion ratio α is well fitted by the three-order polynomial curves.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Non-Destructive Testing Techniques · Magnetic Properties and Applications · Welding Techniques and Residual Stresses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing, China

School of Civil Engineering

School of Materials Science and Engineering

Funding

National Natural Science Foundation of China · Natural Science Fund for Distinguished Young Scholars of Chongqing · Chongqing Urban Management Research Project · Open Fund of State Key Laboratory of the Mountain Bridge and Tunnel Engineering · Post-graduate Education Innovation Fund Project in Chongqing Jiaotong University · Chongqing Natural Science Foundation of China

References (33)

Show source-provided references
1. 10.1016/j.tafmec.2007.05.00610.1016/j.tafmec.2007.05.006 ↗
2. 10.1016/j.engstruct.2013.01.02310.1016/j.engstruct.2013.01.023 ↗
3. 10.1080/15732479.2019.162541610.1080/15732479.2019.1625416 ↗
4. 10.1061/(ASCE)BE.1943-5592.000137210.1061/(ASCE)BE.1943-5592.0001372 ↗
5. 10.4028/www.scientific.net/AMM.215-216.1410.4028/www.scientific.net/AMM.215-216.14 ↗
6. 10.1109/TMECH.2016.253162610.1109/TMECH.2016.2531626 ↗
7. Saul R · Steel Constr · 2012 · 22 · 330
8. Fan C · Int J Damage Mech · 2019
9. 10.3390/s12040390110.3390/s120403901 ↗
10. 10.1016/S0141-0296(02)00024-X10.1016/S0141-0296(02)00024-X ↗
11. 10.4028/www.scientific.net/AMM.578-579.142410.4028/www.scientific.net/AMM.578-579.1424 ↗
12. 10.3901/CJME.2015.1119.13610.3901/CJME.2015.1119.136 ↗
13. 10.1016/j.jmmm.2017.07.06710.1016/j.jmmm.2017.07.067 ↗
14. Sun L · NDT E Int · 2019 · 107
15. Leng JC · Chin J Eng · 2018
16. 10.1016/j.ndteint.2018.08.00610.1016/j.ndteint.2018.08.006 ↗
17. 10.1016/j.sna.2019.01.01910.1016/j.sna.2019.01.019 ↗
18. 10.1016/j.jmmm.2018.01.08910.1016/j.jmmm.2018.01.089 ↗
19. 10.1016/j.jmmm.2016.10.11510.1016/j.jmmm.2016.10.115 ↗
20. 10.1080/10589759.2017.129305010.1080/10589759.2017.1293050 ↗
21. 10.1007/s40799-019-00311-510.1007/s40799-019-00311-5 ↗
22. 10.1007/s11340-011-9490-310.1007/s11340-011-9490-3 ↗
23. Li XM · NDT E Int · 2014 · 62 · 50
24. 10.1080/10589759.2016.118426710.1080/10589759.2016.1184267 ↗
25. 10.1080/10589759.2014.94971010.1080/10589759.2014.949710 ↗
26. 10.1016/j.ijmecsci.2017.03.00110.1016/j.ijmecsci.2017.03.001 ↗
27. Zhou JT · J Changan Univ · 2019 · 39 · 81
28. Xia RC · KSCE J Civ Eng · 2019 · 1 · 1
29. 10.3390/s1805139610.3390/s18051396 ↗
30. 10.1016/j.measurement.2018.09.02510.1016/j.measurement.2018.09.025 ↗
31. 10.1002/pssb.222164011110.1002/pssb.2221640111 ↗
32. 10.1784/insi.2012.55.9.49810.1784/insi.2012.55.9.498 ↗
33. 10.1016/j.sna.2018.11.01710.1016/j.sna.2018.11.017 ↗