Corrosion non-destructive testing of loaded steel strand based on self-magnetic flux leakage effect. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Xia, Runchuan; Zhang, Hong; Zhou, Jianting; Liao, Leng; Yang, Wenqi; Li, Ya
• Is Part Of: Nondestructive testing and evaluation. Volume 37:Issue 1(2022)
• Page Start: 56
• Page End: 70
• Publication Date: 2022-01-02
• Subjects: Metal magnetic memory -- corrosion diagnosis -- loaded steel strand -- self-magnetic flux leakage; Non-destructive testing -- Periodicals; 620.112705
• DOI: 10.1080/10589759.2021.1900846
• Languages: English
• ISSNs: 1058-9759

Abstract

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 Δ Bx 0 and the surface SMFL signals Bx ( α ) induced by corrosion were both analysed. The results show that Δ Bx 0 curves of steel strand material present the periodic fluctuation. Considering Δ Bx 0 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 X m a x ‾ and the corrosion ratio α is well fitted by the three-order polynomial curves.