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Artificial Fish Swarm Algorithm Based Optimal Sensor Placement

원문정보

초록

영어

In order to gain more information reflecting bridge health status, with fewer sensors, a method based on artificial fish swarm algorithm (AFSA) is proposed to solve optimal sensor placement (OSP) problem. The algorithm takes modal assurance criterion (MAC) matrix obtained from modal analysis of an arch bridge structure as the objective function. Four typical behaviors of artificial fish are applied to search the optimal solution. The results show that AFSA is more effective than the particle swarm optimization (PSO) method, in achieving optimal sensor placement.

목차

Abstract
 1. Introduction
 2. Description of AFSA
  2.1. Principle of AFSA
  2.2. Flow chart of AFSA
 3. Modal Analysis on Arch Bridge
  3.1. Description of Arch Bridge
  3.2. Finite Element Model
 4. OSP for the Arch Bridge
  4.1. Mathematical Model
  4.2. Procedure of OSP
  4.3. OSP Implementation
  4.4 Comparison of the Methods
 5. Conclusions
 Acknowledgements
 References

저자정보

  • Zhen-rui Peng School of Mechatronics Engineering, Lanzhou Jiaotong University, China
  • Yu Zhao School of Electronic Information and Electrical Engineering, Tianshui Normal University, China
  • Hong Yin School of Mechatronics Engineering, Lanzhou Jiaotong University, China
  • An Pan School of Mechatronics Engineering, Lanzhou Jiaotong University, China

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