Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)

Frame structure damage identification based on wavelet - artificial immune algorithm

Authors
Deqing Guan, Jiawei Zhang, Xiong Tang
Corresponding Author
Deqing Guan
Available Online February 2018.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
Series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-453-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeesm-17.2018.83How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/ifeesm-17.2018.83
ID  - Guan2018/02
ER  -