Experimental of corrosion detection of galvanized steel strandsbased on magnetic memory(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2019年01期
- Page:
- 81-89
- Research Field:
- 桥梁与隧道工程
- Publishing date:
Info
- Title:
- Experimental of corrosion detection of galvanized steel strandsbased on magnetic memory
- Author(s):
- ZHOU Jian-ting; ZHAO Ya-yu; HE Qin; ZHANG Ping; ZHANG Hong
- (1. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China；2. Guizhou Expressway Group CO., LTD, Guiyang 550000, Guizhou, China)
- Keywords:
- bridge engineering; cable corrosion; corrosion detection; metal magnetic memory; magnetic flux leakage signal
- PACS:
- -
- DOI:
- -
- Abstract:
- Aimed at the problem that it was difficult to detect the internal corrosion of galvanized steel strand cables by conventional technology, and combined with the advantages of metal magnetic memory (MMM) theory in nondestructive testing of ferromagnetic materials in early defects, a new method for corrosion detection of galvanized steel strands based on metal magnetic memory technology was proposed. To verify the feasibility of the method, eight galvanized steel strand cable specimens were designed for corrosion detection. The specimens were corroded with different degrees by using accelerated electrochemical corrosion methods. The magnetic flux leakage (MFL) signals of the specimens after corrosion were obtained, by the Honeywell HMR2300 threedimensional magnetic sensor. The collected MFL signals were comparatively analyzed by using mathematical methods. Then, the variation characteristics of the signals were studied based on the principle of MMM testing. The purpose of detecting the corrosion of galvanized steel strand cable specimen was achieved by analyzing the variation characteristics of MFL signals on the surface of the specimen. The results show that the MFL signals change substantially in the corroded region of steel strand cable specimen. There is a maximum value in the tangential component curve of MFL signal, and the maximum, minimum value and zero point appear in the normal component curve of MFL signal. There is a zero point in the gradient of the tangential component while a minimum value in the gradient of normal component. With the corrosion degree gradually increasing, the intensity of the MFL signals increases correspondingly, and the intensity of MFL signals are positively correlated with the corrosion degrees of the specimens. Via the analysis of the MFL signals after corrosion, the corrosion position and range of the steel strands specimen can be identified relatively accurately. The test verifies the feasibility and rationality of MMM testing，as a testing technique for the detection of the steel strands corrosion, and provides the reference for the future corrosion testing of the galvanized steel strand cables. 2 tabs, 9 figs, 22 refs.
Last Update: 2019-01-28