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

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 ΔB_x0 and the surface SMFL signals B_x(α) induced by corrosion were both analysed. The results show that ΔB_x0 curves of steel strand material present the periodic fluctuation. Considering ΔB_x0 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 $\overline{{\mathrm{X}}_{\mathrm{m}\mathrm{a}\mathrm{x}}}$ and the corrosion ratio α is well fitted by the three-order polynomial curves.

KEYWORDS:

• Metal magnetic memory
• corrosion diagnosis
• loaded steel strand
• self-magnetic flux leakage

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by the National Natural Science Foundation of China [51808081], the Natural Science Fund for Distinguished Young Scholars of Chongqing [cstc2020jcyj-jqX0006], the Chongqing Urban Management Research Project [2019 No. 25], the Open Fund of State Key Laboratory of the Mountain Bridge and Tunnel Engineering [SKLBT-19-014], the Post-graduate Education Innovation Fund Project in Chongqing Jiaotong University [2019B0106], and the Chongqing Natural Science Foundation of China [cstc2019jcyj-cxttX0004, cstc2019jscx-gksbX0047, cstc2018jscx-mszdX0084].