Damage Identification of Structures based on Wavelet Analysis and Artificial Fish-Swarm Algorithm

DOI

10.2991/ifeesm-17.2018.82How to use a DOI?

Keywords

wavelet analysis; artificial fish-swarm algorithm; damage identification; damage location; damage degree

Abstract

Wavelet analysis and artificial fish swarm algorithm are combined to study structural damage identification problem. Firstly, establishing the finite element model of structure and calculating the strain mode, then the wavelet maxima modulus of the wavelet transform are used to identify the damage location. On the basis of this, ,the objective function is constructed by the parameter of mode and frequency before and after the damage,and then by using the theory of artificial fish swarm algorithm to identify the damage degree of structures ,establishing a structural damage identification method based on wavelet analysis and artificial fish swarm algorithm. It shows that the method is accurate and effective through the numerical simulation analysis of damage identification of a plane frame.This study has value for structural damage location and degree identification in engineering applications.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Deqing Guan
AU  - Xiong Tang
AU  - Jiawei Zhang
PY  - 2018/02
DA  - 2018/02
TI  - Damage Identification of Structures based on Wavelet Analysis and Artificial Fish-Swarm Algorithm
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 435
EP  - 438
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.82
DO  - 10.2991/ifeesm-17.2018.82
ID  - Guan2018/02
ER  -