Comparative study of metaheuristic algorithms in the identification of structural damage in composite beams
Year: 2024
Type: article
Abstract: Structural damage, visible or hidden, is inevitable in all structures, machines, and tools arising from 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 detect and quantify such damage accurately. 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 detect and quantify the extent of the damage precisely. 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.
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404938554