Damage identification method of suspension bridge structure based on wavelet - artificial immune algorithm

DOI

10.2991/iccet-15.2015.161How to use a DOI?

Keywords

Damage, Wavelet analysis, Artificial immune algorithm, Suspension bridge structure

Abstract

Structural damage detection and diagnosis is a very important factor to the structural safety. Wavelet transform combined with artificial immune algorithm can be used for improving the application of artificial intelligence algorithms.for structural damage detection.The result of the simulation and verification by analyzing suspension bridge 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

© 2015, 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  - Deng Luo
AU  - Ran Li
PY  - 2015/11
DA  - 2015/11
TI  - Damage identification method of suspension bridge structure based on wavelet - artificial immune algorithm
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 860
EP  - 863
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.161
DO  - 10.2991/iccet-15.2015.161
ID  - Guan2015/11
ER  -