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

Flaviu-Catalin Florea, Horea Grebla, Gilbert-Rainer Gillich, Bogdan Nicușor Bindea, Catalin V. Rusu, Catalin V. Rusu

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.

Paper Citation

in Harvard Style

Florea F., Grebla H., Gillich G., Bindea B. and Rusu C. (2025). Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 334-342. DOI: 10.5220/0013131400003890

in Bibtex Style

@conference{icaart25,
author={Flaviu-Catalin Florea and Horea Grebla and Gilbert-Rainer Gillich and Bogdan Bindea and Catalin Rusu},
title={Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={334-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013131400003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach
SN - 978-989-758-737-5
AU - Florea F.
AU - Grebla H.
AU - Gillich G.
AU - Bindea B.
AU - Rusu C.
PY - 2025
SP - 334
EP - 342
DO - 10.5220/0013131400003890
PB - SciTePress