Open AccessTwo-Stage Damage Detection of Beam Structure Based on Improved PSO Algorithm
Author(s) -
De-Bing Zhuo,
Hui Chen,
Niu Weifeng
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/634/1/012060
Subject(s) - particle swarm optimization , stage (stratigraphy) , algorithm , fuse (electrical) , noise (video) , computer science , stiffness , variable (mathematics) , reduction (mathematics) , identification (biology) , artificial intelligence , structural engineering , mathematics , engineering , image (mathematics) , paleontology , mathematical analysis , botany , geometry , electrical engineering , biology
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.