scholarly journals Structural Damage Detection Based on Improved Multi-Particle Swarm Co-Evolution Optimization Algorithm

2017 ◽  
Author(s):  
Shaofei Jiang ◽  
Shenglan Ma
Keyword(s):  
Damage Detection ◽  
Optimization Algorithm ◽  
Structural Damage ◽  
Particle Swarm ◽  
Structural Damage Detection

scholarly journals An Investigation of Particle Swarm Optimization Topologies in Structural Damage Detection

2021 ◽  
Vol 11 (11) ◽  
pp. 5144
Author(s):  
Xiao-Lin Li ◽  
Roger Serra ◽  
Julien Olivier
Keyword(s):  
Particle Swarm Optimization ◽  
Damage Detection ◽  
Structural Damage ◽  
Heuristic Algorithms ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Structural Damage Detection ◽  
Engineering Structures ◽  
Swarm Optimization ◽  
Global Topology

In the past few decades, vibration-based structural damage detection (SDD) has attracted widespread attention. Using the response data of engineering structures, the researchers have developed many methods for damage localization and quantification. Adopting meta-heuristic algorithms, in which particle swarm optimization (PSO) is the most widely used, is a popular approach. Various PSO variants have also been proposed for improving its performance in SDD, and they are generally based on the Global topology. However, in addition to the Global topology, other topologies are also developed in the related literature to enhance the performance of the PSO algorithm. The effects of PSO topologies depend significantly on the studied problems. Therefore, in this article, we conduct a performance investigation of eight PSO topologies in SDD. The success rate and mean iterations that are obtained from the numerical simulations are considered as the evaluation indexes. Furthermore, the average rank and Bonferroni-Dunn’s test are further utilized to perform the statistic analysis. From these analysis results, the Four Clusters are shown to be the more favorable PSO topologies in SDD.

Sign in / Sign up

Export Citation Format

Share Document