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research-article

Vibration-Based Structural Damage Identification and Evaluation for Cylindrical Shells Using Modified Transfer Entropy Theory

[+] Author and Article Information
Guohua Liu

Professor, Dept. of Hydraulic Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, P. R. China
zjuliugh@zju.edu.cn

Ziyuan Yu

Dept. of Hydraulic Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, P. R. China
11312068@zju.edu.cn

Xu Liang

Professor, Dept. of Ocean Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, P. R. China
liangxu@zju.edu.cn

Changpeng Ye

Dept. of Hydraulic Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, P. R. China
Changpeng89@126.com

1Corresponding author.

ASME doi:10.1115/1.4041264 History: Received February 23, 2018; Revised August 12, 2018

Abstract

In this paper, modified transfer entropy theory is combined with a surrogate data algorithm to produce a new method in order to identify nonlinearity in the vibration data of a damaged cylindrical shell. The proposed identification method can eliminate the necessity of acquiring baseline statistics by comparing the transfer entropy of original vibration data and it of surrogate data. Moreover, a new index ? is established to reflect the degree of damage by quantifying the discreteness of the entropy of each group of surrogate data. To verify the effectiveness of this method, a semi-analytical method based on a Galerkin method and the classic shell theory is used to precisely predict the linear and nonlinear vibration response of a cylindrical shell under different damage circumstances. The corresponding results show that the proposed method can not only identify large deformation but also be further applied to the identification of structural damage. In addition, the influence of different load pressures and degrees of damage on the effectiveness of the identification method is analyzed and discussed. As verified, the proposed methodology can be potentially used for structural damage identification and evaluation in areas such as civil engineering, mechanical engineering, and ocean engineering.

Copyright (c) 2018 by ASME
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