Research on damage identification of jacket structure under wind and wave loads based on variational mode decomposition and chirplet transform

Author:

Yuan Ping-Ping1ORCID,Zhao Zhou-Jie1ORCID,Cheng Xue-Li2,Ren Wei-Xin3

Affiliation:

1. School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang, China

2. School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, China

3. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China

Abstract

To conduct damage localization and damage quantification of jacket structure, a new damage identification approach based on variational mode decomposition (VMD) and chirplet transform (CT) is firstly introduced. Three kinds of environmental loads, namely, regular wave load, irregular wave load, and wind load, are set on the jacket structure to simulate the real environment of the jacket as much as possible. The acceleration response signals of each node of the damaged bar are extracted and analyzed by VMD and CT. The proposed method is used to analyze the time-frequency energy changes before and after damage for damage localization. Then, the time-frequency entropy of the damage location is further calculated for damage quantification. The feasibility of the introduced method is verified by setting different operating conditions, and the results show that the proposed method can locate and quantify the damage of the jacket under different environmental loads.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Reference27 articles.

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2. García-Alonso J, Fernandez-Lopez A, González-Requena I, et al. (2016) Environmental effect compensation for damage detection in structures using artificial neural networks and Chirplet transform. In: 8th European Workshop on Structural Health Monitoring. EWSHM 2016), Bilbao, Spain, July 5–8, 2016.

3. A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model

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