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Structural Health Monitoring of Beam-Like and Truss Structures Using Frequency Response and Particle Swarm Optimization

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Proceedings of the 1st International Conference on Numerical Modelling in Engineering (NME 2018)

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Abstract

In this paper, non-destructive damage identification in beam-like and truss structures using Frequency Response (FR) data is presented. This approach is to formulate an inverse problem using Particle Swarm Optimization (PSO) and Finite Element Method (FEM) to identify the presence, location and quantification of the damage. PSO is one of the most efficient bio-inspired methods. It is used to minimize the objective function, which is based on FR data. The damage in structure is caused by loss of rigidity at a specific location. The capability and efficiency of this application to identify the location and severity of damage are demonstrated by means of several numerical examples. The results of the proposed approach show good accuracy.

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Correspondence to Magd Abdel Wahab .

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Zenzen, R., Khatir, S., Belaidi, I., Abdel Wahab, M. (2019). Structural Health Monitoring of Beam-Like and Truss Structures Using Frequency Response and Particle Swarm Optimization. In: Abdel Wahab, M. (eds) Proceedings of the 1st International Conference on Numerical Modelling in Engineering . NME 2018. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-2273-0_30

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  • DOI: https://doi.org/10.1007/978-981-13-2273-0_30

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  • Print ISBN: 978-981-13-2272-3

  • Online ISBN: 978-981-13-2273-0

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