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A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm |
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| Authors: | Roumaissa Zenzen Idir Belaidi Samir Khatir Magd Abdel Wahab |
| Institution: | 1. Department of Mechanical Engineering, University M''hamed Bougara Boumerdes, LEMI Laboratory, Research Team Modelling and Simulation in Mechanical Engineering, 35000 Boumerdes, Algeria;2. Department of Electrical Energy, Systems and Automation, Faculty of Engineering and Architecture, Ghent University, Belgium;3. Institute of Research and Development, Duy Tan University, 03 Quang Trung, Da Nang, Viet Nam;4. Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052 Zwijnaarde, Belgium |
| Abstract: | In this paper, a Structural Health Monitoring (SHM) technique for damage identification in beam-like and truss structures using Frequency Response Function (FRF) data coupled with optimization techniques is presented. Genetic Algorithm (GA) and Bat Algorithm (BA) are used to estimate the location and severity of damage. The damage in the structures is simulated by reduction in rigidity of specific members. Both optimization techniques are coupled with modelled structures using Finite Element Method (FEM). The approach is based on minimizing an objective function by comparing measured and calculated FRFs. The results show that better accuracy is obtained using BA than using GA in terms of precision and computational time. Furthermore, it is found that the proposed approach provides faster solution than other approaches in the literature. |
| Keywords: | Damage identification Frequency Response Function Genetic Algorithm Finite element method Bat Algorithm |
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