Damage identification in steel plate using FRF and inverse analysis

Samir  Khatir; Magd  Abdel Wahab; Samir  Tiachacht; Cuong  Le Thanh; Roberto  Capozucca; Erica  Magagnini; Brahim Benaissa

doi:10.3221/IGF-ESIS.58.30

Damage identification in steel plate using FRF and inverse analysis

Authors

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 a:1:{s:5:"en_US";s:30:"Toyota technological institute";}

DOI:

https://doi.org/10.3221/IGF-ESIS.58.30

Keywords:

Metaheuristic algorithms, Frequency Response Function, Damage indicator, Damage identification

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.

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Published

25-09-2021

Issue

Vol. 15 No. 58 (2021): October 2021

Section

SI: Steels and Composites for Engineering Structures

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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

Open Access Statement

Frattura ed Integrità Strutturale (Fracture and Structural Integrity, F&SI) is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the DOAI definition of open access.

F&SI operates under the Creative Commons Licence Attribution 4.0 International (CC-BY 4.0). This allows to copy and redistribute the material in any medium or format, to remix, transform and build upon the material for any purpose, even commercially, but giving appropriate credit and providing a link to the license and indicating if changes were made.

How to Cite

Damage identification in steel plate using FRF and inverse analysis. (2021). Frattura Ed Integrità Strutturale, 15(58), 416-433. https://doi.org/10.3221/IGF-ESIS.58.30