Structural Damage Detection in Beam Structures Using the Pathfinder Algorithm
DOI:
https://doi.org/10.20508/mjaz4n09Keywords:
Structural Health Monitoring , Cantilever Beam, Pathfinder Algorithm, Metaheuristic Optimization, Damage detectionAbstract
This paper presents an approach to structural health monitoring (SHM) using the Pathfinder Algorithm (PFA), a metaheuristic method for detecting damage in beam-type structures. The damage identification task is formulated as an unconstrained optimization problem that estimates both the location and severity of damage by maximizing the correlation between simulated and measured modal data. The Multiple Damage Location Assurance Criterion (MDLAC) is employed as the objective function. A 15-element cantilever beam model is analyzed under different damage scenarios. The performance of PFA is compared with that of the Genetic Algorithm (GA). Results show that PFA identifies damage locations and severities more accurately and efficiently, with improved convergence speed and robustness.
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