Structural damage detection based on Chaotic Artificial Bee Colony algorithm

被引:0
|
作者
Xu, H. J. [1 ]
Ding, Z. H. [1 ]
Lu, Z. R. [1 ]
Liu, J. K. [1 ]
机构
[1] Sun Yat Sen Univ, Dept Appl Mech & Engn, Guangzhou 510275, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
damage detection; Chaotic Artificial Bee Colony algorithm; modal assurance criteria; coupled double-beam system; SYSTEM-IDENTIFICATION; NATURAL FREQUENCIES; GENETIC ALGORITHM; OPTIMIZATION; STRATEGY; LOCATION;
D O I
10.12989/sem.2015.55.6.1223
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A method for structural damage identification based on Chaotic Artificial Bee Colony (CABC) algorithm is presented. ABC is a heuristic algorithm with simple structure, ease of implementation, good robustness but with slow convergence rate. To overcome the shortcoming, the tournament selection mechanism is chosen instead of the roulette mechanism and chaotic search mechanism is also introduced. Residuals of natural frequencies and modal assurance criteria (MAC) are used to establish the objective function, ABC and CABC are utilized to solve the optimization problem. Two numerical examples are studied to investigate the efficiency and correctness of the proposed method. The simulation results show that the CABC algorithm can identify the local damage better compared with ABC and other evolutionary algorithms, even with noise corruption.
引用
收藏
页码:1223 / 1239
页数:17
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