Structural damage detection using artificial bee colony algorithm with hybrid search strategy

被引：109

作者：

Ding, Z. H. ^{[1
]}

Huang, M. ^{[1
]}

Lu, Z. R. ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Dept Appl Mech, Guangzhou 510006, Guangdong, Peoples R China

来源：

SWARM AND EVOLUTIONARY COMPUTATION | 2016年 / 28卷

基金：

中国国家自然科学基金;

关键词：

Damage identification; Swarm intelligence; ABC algorithm; Natural frequencies; Hybrid search; IDENTIFICATION; OPTIMIZATION; PERFORMANCE; PARAMETERS; MODEL; ABC; SENSITIVITY; INPUT;

D O I：

10.1016/j.swevo.2015.10.010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An approach for structural damage detection using the artificial bee colony (ABC) algorithm with hybrid search strategy based on modal data is presented. More search strategies are offered and the bee will choose one search mode based on the tournament selection strategy. And a kind of elimination mechanism is introduced to improve the convergence rate. A truss and a plate are studied as two numerical examples to illustrate the efficiency of proposed method. An experimental work on a beam is studied for further verification. Final results show the present method can acquire the better identification results, compared with those from GA, the original ABC and quick ABC (QABC) algorithm, even under some measurement noise. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：1 / 13

页数：13

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