Structural damage detection based on variational mode decomposition and the Chirplet transform

被引：0
|
作者：
Zhang J. [1 ]
Cheng X. [1 ]
Yuan P. [2 ]
Duan M. [3 ]
Ren W. [4 ]
机构：
[1] School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang
[2] School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang
[3] First Construction Engineering Company Ltd of China Construction Second Engineering Bureau, Beijing
[4] College of Civil and Transportation Engineering, Shenzhen University, Shenzhen
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 08期
关键词：
Chirplet transform; damage detection; damage quantification; time-frequency entropy; variational mode decomposition (VMD);
D O I：
10.13465/j.cnki.jvs.2023.08.031
中图分类号：
学科分类号：
摘要：
In order to identify damage location and quantify damage degree, a structural damage detection method based on variational mode decomposition (VMD) and Chirplet transform was proposed. VMD was used to decompose structural vibration response signal to obtain modal components, and then Chirplet transform was applied for time-frequency analysis of the modal components. The energy index of modal component Chirplet transform was constructed for damage location identification, and the Chirplet transform time-frequency entropy was defined to quantify the degree of structural damage. The proposed method was verified by a numerical example of a simply supported beam with varied stiffness. The results show that the proposed method can accurately identify the damage location and quantify the damage degree of the structure regardless of single point damage or multi-point damage. © 2023 Chinese Vibration Engineering Society. All rights reserved.
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页码：282 / 288
页数：6
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