Damage identification in steel plate using FRF and inverse analysis
- Author
- Samir Khatir (UGent) , Magd Abdel Wahab (UGent) , Samir Tiachacht, Cuong Le Thanh, Roberto Capozucca, Erica Magagnini and Brahim Benaissa
- Organization
- Abstract
- <jats:p>Metaheuristic algorithms have known vast development in recent years. And their applicability in engineering projects is constantly growing; however, their deferent exploration and exploitation techniques cause the engineering problems to favor some algorithms over others. This paper studies damage identification in steel plates using Frequency Response Function (FRF) damage indicator to detect and localize the healthy and damaged structure. The study is formulated as an inverse analysis, investigating the performance of three new metaheuristic algorithms of Wild Horse Optimizer (WHO), Harris Hawks Optimization (HHO), and Arithmetic Optimization Algorithm (AOA). The objective function is based on measured and calculated FRF damage indicators. The results showed that the case of four damages with different damage severity levels presented a good challenge where the HWO algorithm was shown to have the best performance. Both in convergence speed and CPU time.</jats:p>
- Keywords
- Mechanical Engineering, Mechanics of Materials, Metaheuristic algorithmsFrequency Response FunctionDamage indicatorDamage identificaion
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8724632
- MLA
- Khatir, Samir, et al. “Damage Identification in Steel Plate Using FRF and Inverse Analysis.” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, vol. 58, 2021, pp. 416–33, doi:10.3221/igf-esis.58.30.
- APA
- Khatir, S., Abdel Wahab, M., Tiachacht, S., Le Thanh, C., Capozucca, R., Magagnini, E., & Benaissa, B. (2021). Damage identification in steel plate using FRF and inverse analysis. FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, 58, 416–433. https://doi.org/10.3221/igf-esis.58.30
- Chicago author-date
- Khatir, Samir, Magd Abdel Wahab, Samir Tiachacht, Cuong Le Thanh, Roberto Capozucca, Erica Magagnini, and Brahim Benaissa. 2021. “Damage Identification in Steel Plate Using FRF and Inverse Analysis.” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY 58: 416–33. https://doi.org/10.3221/igf-esis.58.30.
- Chicago author-date (all authors)
- Khatir, Samir, Magd Abdel Wahab, Samir Tiachacht, Cuong Le Thanh, Roberto Capozucca, Erica Magagnini, and Brahim Benaissa. 2021. “Damage Identification in Steel Plate Using FRF and Inverse Analysis.” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY 58: 416–433. doi:10.3221/igf-esis.58.30.
- Vancouver
- 1.Khatir S, Abdel Wahab M, Tiachacht S, Le Thanh C, Capozucca R, Magagnini E, et al. Damage identification in steel plate using FRF and inverse analysis. FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY. 2021;58:416–33.
- IEEE
- [1]S. Khatir et al., “Damage identification in steel plate using FRF and inverse analysis,” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, vol. 58, pp. 416–433, 2021.
@article{8724632,
abstract = {{<jats:p>Metaheuristic algorithms have known vast development in recent years. And their applicability in engineering projects is constantly growing; however, their deferent exploration and exploitation techniques cause the engineering problems to favor some algorithms over others. This paper studies damage identification in steel plates using Frequency Response Function (FRF) damage indicator to detect and localize the healthy and damaged structure. The study is formulated as an inverse analysis, investigating the performance of three new metaheuristic algorithms of Wild Horse Optimizer (WHO), Harris Hawks Optimization (HHO), and Arithmetic Optimization Algorithm (AOA). The objective function is based on measured and calculated FRF damage indicators. The results showed that the case of four damages with different damage severity levels presented a good challenge where the HWO algorithm was shown to have the best performance. Both in convergence speed and CPU time.</jats:p>}},
author = {{Khatir, Samir and Abdel Wahab, Magd and Tiachacht, Samir and Le Thanh, Cuong and Capozucca, Roberto and Magagnini, Erica and Benaissa, Brahim}},
issn = {{1971-8993}},
journal = {{FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY}},
keywords = {{Mechanical Engineering,Mechanics of Materials,Metaheuristic algorithmsFrequency Response FunctionDamage indicatorDamage identificaion}},
language = {{eng}},
pages = {{416--433}},
title = {{Damage identification in steel plate using FRF and inverse analysis}},
url = {{http://doi.org/10.3221/igf-esis.58.30}},
volume = {{58}},
year = {{2021}},
}
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