A Comparative study of metaheuristic algorithms in the identification of structural damage in composite beams

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Published Dec 2, 2024
https://doi.org/10.46223/HCMCOUJS.acs.en.15.1.64.2025
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Received: 2024-06-14
Accepted: 2024-09-04
Published: 2024-12-02
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15(1)2025 (IN PRESS)

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Mohand Amokrane Lounis
Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria
Amar Behtani
Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria
Khatir Bochra
University Center of Naama, Naama, Algeria
Samir TIACHACHT
Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria
https://orcid.org/0000-0002-3597-8725
Mohand Slimani
Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria

Abstract

Structural damage, whether visible or hidden, is an inevitable occurrence in all structures, machines, and tools, arising from factors such as machining processes, wear, and impact. Over the years, significant efforts in structural dynamics have been devoted to evaluating and reconciling numerical models with experimental data to accurately detect and quantify such damage. This study presents a comprehensive approach to identifying and quantifying structural damage in multilayer composite beams by first assessing the global modal and frequency differences between undamaged and damaged structures using the Frequency Response Function (FRF) method. These results are then utilized in various metaheuristic optimization algorithms to precisely detect and quantify the extent of the damage. The focus of this work is to evaluate the effectiveness of three optimization algorithms: the African Vulture Optimization Algorithm (AVOA), the Salp Swarm Algorithm (SSA), and the Whale Optimization Algorithm (WOA). These algorithms are tested on a composite structure to determine their accuracy and computational efficiency in identifying structural damage.

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Lounis, M. A., Behtani, A., Bochra, K., TIACHACHT, S., & Slimani, M. (2024). A Comparative study of metaheuristic algorithms in the identification of structural damage in composite beams . HCMCOU Journal of Science – Advances in Computational Structures, 15(1). https://doi.org/10.46223/HCMCOUJS.acs.en.15.1.64.2025
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