Structural damage detection using improved particle swarm optimization

被引：54
|
作者：
Wei, Zitian [1 ]
Liu, Jike [2 ]
Lu, Zhongrong [2 ]
机构：
[1] China Ship Sci Res Ctr, Natl Key Lab Ship Vibrat & Noise, Wuxi, Peoples R China
[2] Sun Yat Sen Univ, Dept Appl Mech, Guangzhou, Guangdong, Peoples R China
来源：
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING | 2018年 / 26卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Damage detection; particle swarm optimization; disturbance; modal parameters; frequency domain; GENETIC ALGORITHMS; CRACK LOCATION; IDENTIFICATION; SENSITIVITY; HYBRID; BEAM;
D O I：
10.1080/17415977.2017.1347168
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An approach based on an improved particle swarm optimization (PSO) algorithm is proposed for structural damage detection in this study. A disturbance is introduced in the evolution process to avoid the occurrence of premature. The present algorithm focuses on the mutation of global or individual best known positions to guide the swarm to escape from the local minimum. The feasibility and robustness of the modified PSO are verified by three different structures, including a beam, a truss and a plate. The results show that the method is efficient and effective for structural damage identification when measurement noise is considered.
引用
收藏
页码：792 / 810
页数：19
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