Frame structure damage identification based on wavelet - artificial immune algorithm

DOI

10.2991/ifeesm-17.2018.83How to use a DOI?

Keywords

damage, wavelet analysis, artificial immune algorithm, simple frame structure

Abstract

Structural damage detection and diagnosis is a very important factor of the structural safety. In order to improve the application of artificial intelligence algorithms for structural damage detection, we try to wavelet analysis and artificial immune algorithm to combine the analysis by finite element and Matlab programming. The result of the simulation and verification by analyzing simple frame structure suggest that this approach combines the advantages of wavelet analysis and artificial immune algorithm : quickly and accurately identifying the damage location and calculating the extent of the damage.This method can be used in engineering practice of structural damage detection to improve the efficiency of structural damage identification.

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  - Jiawei Zhang
AU  - Xiong Tang
PY  - 2018/02
DA  - 2018/02
TI  - Frame structure damage identification based on wavelet - artificial immune algorithm
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 439
EP  - 442
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.83
DO  - 10.2991/ifeesm-17.2018.83
ID  - Guan2018/02
ER  -