Title :
An Improved PSO Algorithm and Its Application to Structural Damage Detection
Author :
Yu, Ling ; Wan, Zu-yong
Author_Institution :
Key Lab. of Disaster Forecast & Control in Eng., Jinan Univ., Guangzhou
Abstract :
The particle swarm optimization (PSO) algorithm with inertial weight is improved by adopting the sigmoid function and applied to structural damage identification in frame structures in this paper. The theoretical background on the improved PSO (IPSO) algorithm is introduced, a suite of four famous benchmark functions are then employed for evaluation on the IPSO performance. Some comparative studies on single and multi-damage of a 2-story rigid frame structure have been carried out. The illustrated results show that the IPSO algorithm can significantly improve the performance of the conventional PSO algorithm. IPSO can locate and identify structural damage with higher accuracy.
Keywords :
failure (mechanical); particle swarm optimisation; structural engineering; 2-story rigid frame structure; PSO algorithm; frame structures; particle swarm optimization algorithm; sigmoid function; structural damage detection; structural damage identification; Computational modeling; Constraint optimization; Control engineering education; Equations; Evolutionary computation; Marine animals; Monitoring; Numerical simulation; Particle swarm optimization; Vibration measurement; particle swarm optimization; structural damage detection; structural health monitoring; swarm intelligece;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.224