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Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization |
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| Authors: | Samir Khatir Kevin Dekemele Mia Loccufier Tawfiq Khatir Magd Abdel Wahab |
| Institution: | 1. Department of Electrical Energy, Metals, Mechanical Constructions, and Systems, Faculty of Engineering and Architecture, Ghent University, Gent, Belgium;2. Institute of Science and Technology, University Center Salhi Ahmed Naama, Algeria;3. Division of Computational Mechanics, Ton Duc Thang University, Ho Chi Minh City, Viet Nam;4. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam;5. Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052 Zwijnaarde, Belgium |
| Abstract: | In this paper, a technique is presented for the detection and localization of an open crack in beam-like structures using experimentally measured natural frequencies and the Particle Swarm Optimization (PSO) method. The technique considers the variation in local flexibility near the crack. The natural frequencies of a cracked beam are determined experimentally and numerically using the Finite Element Method (FEM). The optimization algorithm is programmed in MATLAB. The algorithm is used to estimate the location and severity of a crack by minimizing the differences between measured and calculated frequencies. The method is verified using experimentally measured data on a cantilever steel beam. The Fourier transform is adopted to improve the frequency resolution. The results demonstrate the good accuracy of the proposed technique. |
| Keywords: | Crack detection Vibration analysis Particle swarm optimization Finite element method Experimental modal analysis |
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