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Practical Applications of Intelligent Systems pp 207–217Cite as

Optimal Sensor Placement of Long-Span Cable-Stayed Bridges Based on Particle Swarm Optimization Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

Abstract

An optimization based on particle swarm optimization (PSO) algorithm was put forward for optimal sensor placement (OSP) in the structural health monitoring system (SHMs) of long-span cable-stayed bridges. The mathematical model was firstly presented and dual-structure coding was adopted to improve the individual encoding method in the PSO algorithm. Fitness function was established to solve the optimal problem based on the root-mean-square value of off-diagonal elements of modal assurance criterion matrix. Finally, one long-span cable-stayed bridge was taken as an example, and implemented the sensor placement based on PSO. The stimulation results show that the proposed PSO algorithm has better improvement in search ability and computation efficiency when compared with genetic algorithm (GA).

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Authors and Affiliations

  1. Intellectualization of National Defense Engineering, PLA University of Science and Technology, Nanjing, 210007, China

    Xun Zhang, Ping Wang, Jian-Chun Xing & Qi-Liang Yang

Authors
  1. Xun Zhang
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  2. Ping Wang
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  3. Jian-Chun Xing
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  4. Qi-Liang Yang
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Corresponding author

Correspondence to Xun Zhang .

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Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhang, X., Wang, P., Xing, JC., Yang, QL. (2014). Optimal Sensor Placement of Long-Span Cable-Stayed Bridges Based on Particle Swarm Optimization Algorithm. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_20

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)

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