The Particle Swarm Optimization (PSO) algorithm in Structural Health Monitoring (SHM) application

Authors

DOI:

10.46223/HCMCOUJS.tech.en.11.1.1446.2021

Keywords:

damage detection; PSO algorithm; Structural Health Monitoring (SHM)

Abstract

In the paper, a method of determining the structural damage using the Particle Swarm Optimization (PSO) algorithm is presented. PSO is a famous algorithm to search optimization. Damaged structural system members are detected by the PSO through the frequency change before and after the damage.

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References

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Colorni, A., Dorigo, M., & Maniezzo, V. (1992). An investigation of some properties of an “Ant algorithm”. In proceedings of the parallel problem solving from nature 2 (PPSN 92) (pp. 509-520). Brussels, Belgium: Elsevier Publishing.

Dorigo, M., Caro, G. D., & Gambardella, L. M. (1999). Ant algorithms for discrete optimization. Artificial Life, 5(2), 137-172. doi:10.1162/106454699568728

Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization: Technical report-tr06. Retrieved January 20, 2021, from https://www.researchgate.net/publication/255638348_An_Idea_Based_on_Honey_Bee_Swarm_for_Numerical_Optimization_Technical_Report_-_TR06

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Received: 24-02-2021
Accepted: 05-03-2021
Published: 15-02-2022

Statistics

Abstract: 649
The Particle Swarm Optimization (PSO) algorithm in structural health monitoring (SHM) Application: 0
PDF: 421

FWCI: 0.11

How to Cite

Cuong, L. T., & Sang, T. T. (2022). The Particle Swarm Optimization (PSO) algorithm in Structural Health Monitoring (SHM) application. Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 11(1), 64–68. https://doi.org/10.46223/HCMCOUJS.tech.en.11.1.1446.2021

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