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作 者:张伟[1]
出 处:《科学技术与工程》2011年第23期5584-5587,共4页Science Technology and Engineering
基 金:国家自然科学基金项目(50708076)资助
摘 要:提出了一种基于粒子群优化算法(PSO)的二阶段结构损伤识别方法。该方法利用实际结构测试中较为成熟且结果相对稳定、准确的静力位移及基频的变化为基础,通过损伤信号匹配技术以及PSO分别进行损伤初步定位及损伤最后定量。通过对平面桁架结构的数值模拟结果表明该方法对结构中的受损构件及其损伤程度能够做出正确高效的识别和判断。A two-stage structural damage identification method based on presented. The relatively mature and precisely test techniques including the Particle Swarm Optimization (PSO) is detection of variation of static displacement and base-frequency are utilized. Combing Damage Signal Match (DSM) technique and PSO, the possible structural damage location and damage extent are respectively carried out. The numerical simulation results of damaged plane truss show that the presented method is able to efficiently identify the structural damage members and their damage extent
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