![](/images/graphics-bg.png)
Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization
Joint Authors
Jiao, Yu-bo
Song, Gang
Liu, Hanbing
Wang, Xianqiang
Zhang, Peng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An approach to identify damage of bridge utilizing modal flexibility and neural network optimized by particle swarm optimization (PSO) is presented.
The method consists of two stages; modal flexibility indices are applied to damage localizing and neural network optimized by PSO is used to identify the damage severity.
Numerical simulation of simply supported bridge is presented to demonstrate feasibility of the proposed method, while comparative analysis with traditional BP network is for its superiority.
The results indicate that curvature of flexibility changes can identify damages with both single and multiple locations.
The optimization of bias and weight for neural network by fitness function of PSO algorithm can realize favorable damage severity identification and possesses more satisfactory accuracy than traditional BP network.
American Psychological Association (APA)
Liu, Hanbing& Song, Gang& Jiao, Yu-bo& Zhang, Peng& Wang, Xianqiang. 2014. Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-487470
Modern Language Association (MLA)
Liu, Hanbing…[et al.]. Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-487470
American Medical Association (AMA)
Liu, Hanbing& Song, Gang& Jiao, Yu-bo& Zhang, Peng& Wang, Xianqiang. Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-487470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487470