Frame structure damage identification based on wavelet - artificial immune algorithm
- https://doi.org/10.2991/ifeesm-17.2018.83How to use a DOI?
- damage, wavelet analysis, artificial immune algorithm, simple frame structure
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.
- © 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 -