基于交流电磁场检测技术的钢结构桥梁疲劳裂纹检测和评估

王贤强; 杨羿; 刘朵; 张建东; 陈春霖

doi:10.13204/j.gyjzG21030817

基于交流电磁场检测技术的钢结构桥梁疲劳裂纹检测和评估

doi: 10.13204/j.gyjzG21030817

1. 苏交科集团股份有限公司长大桥梁安全长寿与健康运维全国重点实验室, 南京 211112;
2. 东南大学土木工程学院, 南京 211189;
3. 河海大学土木工程学院, 南京 210024

基金项目:

江苏省交通运输科技项目（2018Y10、2018Y11）；江苏省建设系统科技项目（2021ZD54）；江苏省基础研究计划自然科学基金项目（BK20220209）；中国博士后基金面上项目（2018M642300）；江苏省博士后科研资助计划项目（2018K136C）。

详细信息

作者简介:
王贤强,男,1990年出生,博士,高级工程师。电子信箱:wangxianqiang1011@163.com

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出版历程
- 收稿日期: 2021-03-08
- 网络出版日期: 2023-10-17

Experimental Research on Detection and Evaluation for Fatigue Cracks of Steel Bridge Based on ACFM Technique

1. State Key Laboratory of Safety, Durability and Health Operation of Long-Span Bridges, JSTI Group, Nanjing 211112, China;
2. School of Civil Engineering, Southeast University, Nanjing 211189, China;
3. School of Civil Engineering, Hohai University, Nanjing 210024, China

摘要

摘要: 钢结构桥梁涂层对疲劳裂纹的检测产生显著影响和干扰，为提高疲劳裂纹的检测效率和评估准确性，实现无须去除涂层的疲劳裂纹快速扫查与定量评估，基于交流电磁场（ACFM）技术开展了疲劳裂纹检测与评估试验研究。针对涂层对疲劳裂纹检测的干扰，探究了钢结构桥梁典型涂层体系对疲劳裂纹识别与评估的影响；考虑既有涂层对疲劳裂纹的遮蔽作用，验证了ACFM对钢结构桥梁涂层下隐蔽疲劳裂纹检测的敏感性；通过对比试件和涂装试件的试验测试，分析了疲劳裂纹ACFM检测的检出精度和定量评估准确性。试验结果表明：ACFM能够对涂层下疲劳裂纹进行准确识别和长度定量评估，裂纹检出率达到100%，裂纹长度定量评估精度达到95%以上，涂层体系类型和涂层遮蔽效应的影响不明显；ACFM技术对不同长度的疲劳裂纹均表现出良好的检测能力，可实现疲劳裂纹扩展过程中不同状态裂纹的有效检测和准确评估。
- 钢结构桥梁 /
- 疲劳裂纹 /
- 涂层 /
- 交流电磁场 /
- 损伤识别 /
- 量化评估
Abstract: The coating of steel bridge has a significant impact and interference on fatigue crack detection. In order to improve the detection efficiency and evaluation accuracy of fatigue cracks, the experimental research on Alternating Current Field Measurement (ACFM) technique was carried out to realize the rapid scanning and quantitative evaluation of fatigue cracks without removing the coating. Firstly, aiming at the coating interference on fatigue crack detection, the influence of typical coating systems on identification and evaluation of steel bridge fatigue crack was explored. Secondly, considering the shielding effect of existing coating on fatigue cracks, the sensitivity of ACFM to the detection of hidden fatigue cracks was verified. Finally, detection and evaluation accuracy of ACFM were analyzed through the test for comparative specimens and painted specimens. The results showed that ACFM could accurately identify and quantitatively evaluate fatigue cracks under the coating. The crack detection ratio reached 100%, and the quantitative evaluation accuracy of crack length reached more than 95%. The influence of coating system type and coating shadowing effect on ACFM detection for fatigue cracks was not obvious. ACFM technology showed a good detection capacity for fatigue cracks with different lengths, and could realize effective detection and accurate evaluation of fatigue cracks in different states during fatigue crack propagation.
- steel bridge /
- fatigue crack /
- coating /
- ACFM /
- damage identification /
- quantitative evaluation

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