Damage Detection of Thin Plates Using GA-PSO Algorithm Based on Modal Data

被引:25
|
作者
Vaez, Seyed Rohollah Hoseini [1 ]
Fallah, Narges [1 ]
机构
[1] Univ Qom, Dept Civil Engn, Fac Engn, Qom, Iran
关键词
Damage detection; Hybrid algorithm; GA-PSO; Thin plate; Modal data; Inverse problem; CRACK DETECTION; GENETIC ALGORITHMS; PARTICLE SWARM; OPTIMIZATION; IDENTIFICATION;
D O I
10.1007/s13369-016-2398-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this study, a new approach for detecting damage, its location, and its severity in plate structures using a genetic-particle swarm optimization, which is a hybrid algorithm, is presented. To evaluate the proposed approach, three numerical examples have been simulated; the examples consist of three different plates including an L-shaped two-clamped supported plate, one quarter of a plate with a hole, and a rectangular two-clamped plate. These plate structures have been modeled using thin plate theory, so they are called thin plate. Additionally, dynamic method based on modal data such as natural frequencies and mode shapes is used to formulate objective function. In order to demonstrate the effectiveness of the new proposed approach and the hybrid algorithm, several structures are tested by several different scenarios with and without noise. Then, the scenarios are simulated with genetic and particle swarm optimization algorithms separately. Finally, the obtained results are compared using two sum error indexes which reveal that the results of the hybrid algorithm have less error.
引用
收藏
页码:1251 / 1263
页数:13
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