Combined Data with Particle Swarm Optimization for Structural Damage Detection
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kang, Fei& Li, Junjie& Liu, Sheng. 2013. Combined Data with Particle Swarm Optimization for Structural Damage Detection. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1009340
Modern Language Association (MLA)
Kang, Fei…[et al.]. Combined Data with Particle Swarm Optimization for Structural Damage Detection. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1009340
American Medical Association (AMA)
Kang, Fei& Li, Junjie& Liu, Sheng. Combined Data with Particle Swarm Optimization for Structural Damage Detection. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1009340
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009340