[1]赵亚宇,周建庭,夏润川,等.基于磁记忆弱漏磁效应的钢绞线腐蚀检测[J].深圳大学学报理工版,2019,36(3):260-267.[doi:10.3724/SP.J.1249.2019.03229]
　ZHAO Yayu,ZHOU Jianting,XIA Runchuan,et al.The detection of corrosion of steel strands based on weak magnetic flux leakage effect of metal magnetic memory[J].Journal of Shenzhen University Science and Engineering,2019,36(3):260-267.[doi:10.3724/SP.J.1249.2019.03229]
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基于磁记忆弱漏磁效应的钢绞线腐蚀检测()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第36卷
期数:
2019年第3期
页码:
260-267
栏目:
【土木建筑工程】
出版日期:
2019-05-20

文章信息/Info

Title:
The detection of corrosion of steel strands based on weak magnetic flux leakage effect of metal magnetic memory
文章编号:
201903006
作者:
赵亚宇1; 周建庭1; 夏润川1; 何沁2; 张泽宇2
1）重庆交通大学土木工程学院，重庆 400074
2）贵州高速公路集团有限公司，贵州贵阳 550021
Author(s):
ZHAO Yayu1;  ZHOU Jianting1;  XIA Runchuan1;  HE Qin2;  and ZHANG Zeyu2
1) School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, P.R.China
2) Guizhou Expressway Group Co., Ltd., Guiyang 550021, Guizhou Province, P.R.China
关键词:
桥梁工程; 拉索; 腐蚀检测; 磁记忆; 漏磁; 提离值
Keywords:
bridge engineering;  stay cable;  corrosion detection;  metal magnetic memory;  magnetic flux leakage;  lift-off value
分类号:
U446
DOI:
10.3724/SP.J.1249.2019.03229
文献标志码:
A
摘要:
拉索腐蚀一直是桥梁工程亟待解决的难题，目前钢绞线腐蚀已成为影响拉索健康运行的关键因素. 为有效检测钢绞线拉索腐蚀，将磁记忆无损检测技术引入到钢绞线拉索腐蚀检测中，通过试验分析钢绞线腐蚀磁记忆漏磁信号分布变化特征，构建基于磁记忆信号特征的钢绞线腐蚀度判别准则.结果表明，钢绞线试件发生腐蚀后，漏磁信号发生明显突变，在腐蚀中间区域漏磁信号切向分量出现极小值，且极值与试件腐蚀程度之间呈Boltzmann分布；随着磁测传感器提离值的增大，钢绞线试件腐蚀漏磁信号急剧下降，提离值的轻微差异，可造成漏磁信号切向分量极值产生较大波动.
Abstract:
The cable corrosion is an unsolved difficult problem in the engineering field. At present, the corrosion of steel strands has become the key factor affecting the health of cable. In order to effectively detect the corrosion of steel cables, metal magnetic memory (MMM) non-destructive testing technology is applied. Through experimental research, the distribution characteristics of magnetic flux leakage (MFL) signals of corrosion magnetic memory are analyzed. Some criterions of steel strand corrosion degree based on the characteristics of MMM signals are constructed. The test results show that the MFL signals change obviously for the corroded specimens, and the tangential component of the magnetic flux leakage appears minimum in the middle of the corroded region. The relationship between the tangential component minimum value and the corrosion degree of the specimens presents the Boltzmann function distribution. With the increase of the lift-off value of the magnetic sensor, the MFL signals of the corroded specimens decrease sharply. A slight difference in the lift-off value can cause a large fluctuation in the minimum value of the tangential component of the MFL signals.

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备注/Memo

备注/Memo:
Received：2018-07-29；Accepted：2018-12-26
Foundation：National Key Research and Development Plan (2017YFC0806007)；National Science Fund for Distinguished Young Scholars (51425801)；Guizhou Communications Department Science and Technology Project (2016-123-006)；Key Research and Development of Chongqing’s Social and Livelihood (cstc2018jscx-mszdX0084)
Corresponding author：Professor ZHOU Jianting．E-mail: jtzhou@cqjtu.edu.cn
Citation：ZHAO Yayu，ZHOU Jianting，XIA Runchuan，et al．The detection of corrosion of steel strands based on weak magnetic flux leakage effect of metal magnetic memory［J］. Journal of Shenzhen University Science and Engineering, 2019, 36(3): 260-267.（in Chinese）
基金项目：国家重点研发计划资助项目(2017YFC0806007); 国家杰出青年科学基金资助项目(51425801); 贵州交通厅科技资助项目(2016-123-006);重庆市社会民生类重点研发资助项目(cstc2018jscx-mszdX0084)
作者简介：赵亚宇（1989—），重庆交通大学博士研究生．研究方向：桥梁监测、评估与加固．E-mail：15123083280@163.com
引文：赵亚宇，周建庭，夏润川，等．基于磁记忆弱漏磁效应的钢绞线腐蚀检测［J］. 深圳大学学报理工版，2019，36(3)：260-267.
更新日期/Last Update: 2019-04-22