计算力学学报2016，Vol.33Issue(5)：791-795,5.DOI:10.7511/jslx201605021
基于多种搜索策略的人工蜂群算法的结构损伤识别
Structural damage identification based on ABC algorithm with variable search strategy
摘要
Abstract
A technique for structural damage detection based on the Artificial Bee Colony algorithm with variable 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.Such change can enhance the algorithm’s convergence rate and accuracy.The frequencies residual and MAC are utilized to form obj ec-tive function,the ABC,QABC and proposed method are used to solve the nonlinear optimal problem,and acquire identified results.The optimal solution can represent the real situation of the structure.A numerical example (a 6 1 bar truss structure)is utilized to investigate the efficiency of proposed method. An experimental work (a supported beam)is also referenced for further verification.Final results show the ABC with variable search strategy can acquire better identification outcome,compared with ABC and QABC,even when some modal data is polluted by the artificial noise.关键词
损伤识别/人工蜂群算法/多种搜索策略/固有频率/模态确保准则Key words
damage detection/ABC algorithm/multiple search strategy/natural frequencies/modal assurance criteria分类
信息技术与安全科学引用本文复制引用
丁政豪,吕中荣,刘济科..基于多种搜索策略的人工蜂群算法的结构损伤识别[J].计算力学学报,2016,33(5):791-795,5.基金项目
国家自然科学基金(1117233,11272361) （1117233,11272361）
广东省科技计划(2014A020218004,2016A020223006) （2014A020218004,2016A020223006）
广东省自然科学基金(2015A030313126)资助项目 （2015A030313126）
