基于金属磁记忆的持荷钢绞线腐蚀检测试验研究

doi:10.11896/cldb.21040232

Abstract
Figure/Table
References
Related Citation (15)

Download:

Full Text ( PDF ) (8940KB)
Export: BibTeX | EndNote (RIS)

Abstract At present, the method of micro-damage detection, based on the metal magnetic memory self-leakage effect,is widely used. However, in the process of detecting the corrosion of steel strand, the influence of load on test results is unclear, which cannot be ignored due to the stress-magnetization coupling effect. To solve this problem, the steel strand after electrochemical corrosion was tensioned. And after considering the effect of load, the magnetic memory test of steel strand was carried out. The experimental results show that, at the center of the corrosion area, the tangential magnetic flux leakage component (B_x) of the specimens reaches the maximum, and the normal magnetic flux leakage component (B_z) is zero. On either side of the corrosion area, the B_x distributes asymmetrically, and the B_z reaches its extreme points. With the corrosion degree increasing, the characteristic indicators of the magnetic flux leakage signal (ΔB_x_max and |ΔB_x_min|) increased nonlinearly. With the corrosion load increasing, ΔB_x_max and |ΔB_x_min| increases first and then decreased. The normalized ‘peak and valley’ M_B increases with the increase of the corrosion rate C. The correlation between M_B and C is verified by third-order polynomial fit. M_B wasn't sensitive to stress, and thus the detection accuracy can be improved by using the proposed characteristic indicator.

Key words： metal magnetic memory magnetic flux leakage corrosion detection steel strand load

Published: 10 July 2022 Online: 2022-07-12

CLC number:

U446

Fund:National Natural Science Foundation of China (51808081, U20A20314), the Natural Science Fund for Distinguished Young Scholars of Chongqing (cstc2020jcyj-jqX0006), and the Chongqing Natural Science Foundation of China (cstc2022ycjh-bgzxm0086).

	Service
	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHANG Hong
	JIANG Hejing
	XIA Runchuan
	WANG Guimei
	LI Ya
	ZHOU Jianting

Cite this article:

ZHANG Hong,JIANG Hejing,XIA Runchuan, et al. Research on Corrosion Detection Test of Load-bearing Steel Strand Based on Metal Magnetic Memory[J]. Materials Reports, 2022, 36(13): 21040232-8.

URL:

http://www.mater-rep.com/EN/10.11896/cldb.21040232 OR http://www.mater-rep.com/EN/Y2022/V36/I13/21040232

1 Fernandez J. Materials and Corrosion, 2016, 67(8), 888.
2 Li D, Yang W, Zhang W. Ultrasonics, 2017, 77(1), 22.
3 Qian J, Chen X, Jiang Y, et al. Journal of Vibration and Shock, 2018, 37(20), 115(in Chinese).
钱骥, 陈鑫, 蒋永, 等. 振动与冲击, 2018, 37(20), 115.
4 Su S Q, Liu X W, Wang W, et al. Chinese Journal of Engineering, 2020, 42(12), 1557(in Chinese).
苏三庆, 刘馨为, 王威, 等. 工程科学学报, 2020, 42(12), 1557.
5 Wang Z D, Yao K, Deng B, et al. NDT & E International, 2009, 43(4), 354.
6 Leng J, Yang L, Zhou G, et al. NDT & E International, 2013, 55(4), 42.
7 Qu Y, Zhou J, Liu R, et al. KSCE Journal of Civil Engineering, 2021, 25(3), 879.
8 Xia R, Zhou J, Zhang H, et al. Sensors, 2018, 18(5), 1396.
9 Xia R, Zhang H, Zhou J, et al. Journal of Magnetism and Magnetic Materials, 2020, 522(2), 167544.
10 Xin R Y, Zhang Q W. Journal of Tongji University(Natural Science), 2019, 47(4), 458. (in Chinese).
辛荣亚, 张启伟. 同济大学学报(自然科学版), 2019, 47(4), 458.
11 Gao Z G, Su S Q, Wang W, et al. Journal of Xi'an University of Science and Technology, 2019, 39(4), 76(in Chinese).
高志刚, 苏三庆, 王威, 等. 西安科技大学学报, 2019, 39(4), 76.
12 Su S Q, Ma X P, Wang W, et al. Journal of Xi'an University of Architecture & Technology(Natural Science Edition), 2017, 49(3), 309. (in Chinese).
苏三庆, 马小平, 王威, 等. 西安建筑科技大学学报(自然科学版), 2017, 49(3), 309.
13 Wang W, Ren G C, Su S Q, et al. Journal of Materials Science and Engineering, 2018, 36(1), 66. (in Chinese).
王威, 任广超, 苏三庆, 等. 材料科学与工程学报, 2018, 36(1), 66.
14 Shi P P, Jin K, Zheng X. International Journal of Mechanical Sciences, 2017, 124-125, 229.
15 Shi P P. Quantitative study on micromagnetic detection of stress and defects in ferromagnetic materials. Ph.D. Thesis, Xidian University, China, 2017(in Chinese).
时朋朋. 铁磁材料应力和缺陷的微磁检测定量化研究. 博士学位论文, 西安电子科技大学, 2017.
16 Zhou J T, Zhao Y Y, He Q, et al. Journal of Chang'an University(Natural Science Edition), 2019, 39(1), 81.
周建庭, 赵亚宇, 何沁, 等. 长安大学学报(自然科学版), 2019, 39(1), 81.
17 Ren J, Pan Q, Sheng Y, et al. International Journal of Applied Electromagnetics and Mechanics, 2010, 33(3), 1143.