Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach (2025)

Abstract

This paper presents a method for assessing two cracks in simply supported beams by identifying their locations and severities (depths). Our method is based on applying the Particle Swarm Optimization (PSO) algorithm with the measured natural frequencies for several bending vibration modes of an intact and cracked beam. We are using calculated relative frequency shifts (RFS) for eight vibration modes for all possible damage cases using a mathematical relation deduced in previous researches. We detect changes, calculate the RFSs and then subtract, separately for all modes, the measured RFSs from all calculated RFSs. Considering previously demonstrated applications of PSO for one crack detection, we propose strategies to enable PSO to determine locations in scenarios involving two cracks. Our method is successful in accurately identifying two damage locations and severities.

Citare

@Inproceedings{Florea2025MultipleCD,
 author = {Flaviu-Catalin Florea and H. Greblă and Gilbert-Rainer Gillich and B. Bindea and C. Rusu},
 booktitle = {International Conference on Agents and Artificial Intelligence},
 title = {Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach},
 year = {2025}
}

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