Fatigue crack detection of steel bridges by the acoustic emission technique

被引：0
|
作者：
Ju X. [1 ]
Liang Y. [2 ]
Zhao X. [1 ]
Yang J. [2 ]
机构：
[1] Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing
[2] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2023年 / 44卷 / 04期
关键词：
acoustic emission; bridge inspection; fatigue crack; feature extraction; Q690q steel; state recognition; waveform analysis; wavelet noise reduction;
D O I：
10.11990/jheu.202202028
中图分类号：
学科分类号：
摘要：
To accurately identify the state of fatigue cracks in steel bridges and judge the current state of these cracks, we propose a method for fatigue crack life-tracking detection based on wavelet theory and acoustic emission technology. First, a fatigue test of the typical structural details of Q690q steel is designed. An acoustic emission system is used to collect acoustic emission signals throughout the process of fatigue to master the signal change rule in the fatigue process. The acoustic emission signal of fatigue cracks is denoised based on a wavelet transform, and the time domain, frequency domain, and time-frequency domain characteristics of the acoustic emission signal of Q690q steel fatigue cracks at different damage stages are studied using the waveform analysis method, and different characteristic parameters are extracted for the state identification of fatigue cracks at different damage stages. This research shows that the proposed method proposed successfully detects fatigue cracks in different damage stages, establishing a method based on acoustic emission for the inspection, monitoring, and evaluation of steel bridge fatigue cracks, which can be identified at an early stage of crack development, guiding the maintenance of steel bridges. © 2023 Editorial Board of Journal of Harbin Engineering. All rights reserved.
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页码：649 / 656
页数：7
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