Two-Stage Damage Detection of Beam Structure Based on Improved PSO Algorithm

被引：1
|
作者：
Zhuo Debing [1 ,2 ,3 ]
Cao Hui [1 ,2 ]
Niu Weifeng [2 ]
机构：
[1] Chongqing Univ, MOE Key Lab New Technol Construct Cities Mt Area, Chongqing 400045, Peoples R China
[2] Chongqing Univ, Coll Civil Engn, Chongqing 400045, Peoples R China
[3] Jishou Univ, Sch Civil Engn & Architecture, Zhangjiajie 427000, Peoples R China
来源：
2020 2ND INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING, ENVIRONMENT RESOURCES AND ENERGY MATERIALS | 2021年 / 634卷
关键词：
D O I：
10.1088/1755-1315/634/1/012060
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In order to solve the problem of damage location and degree identification of beam structure under multiple damage and small damage condition, a two-stage recognition method based on the improved particle swarm optimization(PSO)algorithm was proposed. Firstly, the first stage damage localization is carried out. The D-S evidence theory fusion algorithm is used to fuse element damage variable and element stiffness reduction coefficient. Then, the improved PSO algorithm is used to update the location results and accurately quantify the damage. The results of simulation and experiment show that the two-stage recognition method can identify the damage locations and detect the damage extent precisely for multi-damage and small damage, and has the advantage of good anti-noise performance.
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页数：12
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