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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 416941, 10 pages
Research Article

Combined Data with Particle Swarm Optimization for Structural Damage Detection

1Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China
2College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China

Received 23 October 2012; Accepted 11 December 2012

Academic Editor: Sheng-yong Chen

Copyright © 2013 Fei Kang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposes a damage detection method based on combined data of static and modal tests using particle swarm optimization (PSO). To improve the performance of PSO, some immune properties such as selection, receptor editing, and vaccination are introduced into the basic PSO and an improved PSO algorithm is formed. Simulations on three benchmark functions show that the new algorithm performs better than PSO. The efficiency of the proposed damage detection method is tested on a clamped beam, and the results demonstrate that it is more efficient than PSO, differential evolution, and an adaptive real-parameter simulated annealing genetic algorithm.