Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm
Joint Authors
Yang, Qiliang
Wang, Ping
Li, Juelong
Xing, Jianchun
He, Can
Wang, Ronghao
Zhang, Xun
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Optimal sensor placement is a key issue in the structural health monitoring of large-scale structures.
However, some aspects in existing approaches require improvement, such as the empirical and unreliable selection of mode and sensor numbers and time-consuming computation.
A novel improved particle swarm optimization (IPSO) algorithm is proposed to address these problems.
The approach firstly employs the cumulative effective modal mass participation ratio to select mode number.
Three strategies are then adopted to improve the PSO algorithm.
Finally, the IPSO algorithm is utilized to determine the optimal sensors number and configurations.
A case study of a latticed shell model is implemented to verify the feasibility of the proposed algorithm and four different PSO algorithms.
The effective independence method is also taken as a contrast experiment.
The comparison results show that the optimal placement schemes obtained by the PSO algorithms are valid, and the proposed IPSO algorithm has better enhancement in convergence speed and precision.
American Psychological Association (APA)
Zhang, Xun& Li, Juelong& Xing, Jianchun& Wang, Ping& Yang, Qiliang& Wang, Ronghao…[et al.]. 2014. Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-495275
Modern Language Association (MLA)
Zhang, Xun…[et al.]. Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-495275
American Medical Association (AMA)
Zhang, Xun& Li, Juelong& Xing, Jianchun& Wang, Ping& Yang, Qiliang& Wang, Ronghao…[et al.]. Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-495275
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495275