Fracture and Structural Integrity e-ISSN 1971-8993 Open access
SI: Steels and Composites for Engineering Structures Vol. 15, No. 58 (2021)

Damage identification in steel plate using FRF and inverse analysis

Author and affiliation details
  • Samir Khatir Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052, Zwijnaarde, Belgium
  • Magd Abdel Wahab Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052, Zwijnaarde, Belgium
  • Samir Tiachacht Laboratory of Mechanics, Structure and Energetics (LMSE), Mouloud Mammeri University of Tizi-Ouzou, B.P.N°17 RP, 15000, Algeria
  • Cuong Le Thanh Ho Chi Minh City Open University, Ho Chi Minh City, Viet Nam
  • Roberto Capozucca Università Politecnica delle Marche, Ancona, Italy
  • Erica Magagnini Università Politecnica delle Marche, Ancona, Italy
  • Brahim Benaissa Corresponding author a:1:{s:5:"en_US"; s:30:"Toyota technological institute"; } benaissa@toyota-ti.ac.jp
DOI
10.3221/IGF-ESIS.58.30
Pages
416-433
Published
Licence
CC BY 4.0
Published inVol. 15, No. 58 (2021)Go to the issue

Abstract

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.

Keywords

Article history

  1. ReceivedUntil the next stage: 11 days
  2. AcceptedUntil the next stage: 26 days
  3. Published

How to cite

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. Fracture and Structural Integrity, 15(58), 416–433. https://doi.org/10.3221/IGF-ESIS.58.30

IEEE

S. Khatir et al., “Damage identification in steel plate using FRF and inverse analysis,” Fracture and Structural Integrity, vol. 15, no. 58, pp. 416–433, 2021, doi: 10.3221/IGF-ESIS.58.30.

MLA

Khatir, Samir, et al. “Damage identification in steel plate using FRF and inverse analysis.” Fracture and Structural Integrity, vol. 15, no. 58, 2021, pp. 416–433. https://doi.org/10.3221/IGF-ESIS.58.30.

Chicago

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.” Fracture and Structural Integrity 15 (58): 416–433. https://doi.org/10.3221/IGF-ESIS.58.30.

Harvard

Khatir, S., Abdel Wahab, M., Tiachacht, S., Le Thanh, C., Capozucca, R., Magagnini, E. and Benaissa, B. (2021) ‘Damage identification in steel plate using FRF and inverse analysis’, Fracture and Structural Integrity, 15(58), pp. 416–433. doi: 10.3221/IGF-ESIS.58.30.

Vancouver

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. Fracture and Structural Integrity. 2021;15(58):416-433. doi:10.3221/IGF-ESIS.58.30

BibTeX

@article{khatir2021, author = {Khatir, Samir and Abdel Wahab, Magd and Tiachacht, Samir and Le Thanh, Cuong and Capozucca, Roberto and Magagnini, Erica and Benaissa, Brahim}, title = {Damage identification in steel plate using FRF and inverse analysis}, journal = {Fracture and Structural Integrity}, year = {2021}, volume = {15}, number = {58}, pages = {416--433}, doi = {10.3221/IGF-ESIS.58.30}, url = {https://doi.org/10.3221/IGF-ESIS.58.30}, issn = {1971-8993} }

RIS

TY - JOUR AU - Khatir, Samir AU - Abdel Wahab, Magd AU - Tiachacht, Samir AU - Le Thanh, Cuong AU - Capozucca, Roberto AU - Magagnini, Erica AU - Benaissa, Brahim TI - Damage identification in steel plate using FRF and inverse analysis JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2021 DA - 2021/09/25 VL - 15 IS - 58 SP - 416 EP - 433 DO - 10.3221/IGF-ESIS.58.30 UR - https://doi.org/10.3221/IGF-ESIS.58.30 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2021 Samir Khatir , Magd Abdel Wahab , Samir Tiachacht, Cuong Le Thanh , Roberto Capozucca, Erica Magagnini, Brahim Benaissa.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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