Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Novel Approach-Based Sparsity for Damage Localization in Functionally Graded Material

Emad Ghandourah
ORCID logo ,
Kouider Bendine
,
Samir Khatir
ORCID logo ,
Brahim Benaissa
* ORCID logo ,
Essam Mohammed Banoqitah
ORCID logo ,
Abdulsalam Mohammed Alhawsawi
,
Essam B. Moustafa
Version 1 : Received: 3 July 2023 / Approved: 3 July 2023 / Online: 4 July 2023 (03:31:02 CEST)

A peer-reviewed article of this Preprint also exists.

Ghandourah, E.; Bendine, K.; Khatir, S.; Benaissa, B.; Banoqitah, E.M.; Alhawsawi, A.M.; Moustafa, E.B. Novel Approach-Based Sparsity for Damage Localization in Functionally Graded Material. Buildings 2023, 13, 1768. Ghandourah, E.; Bendine, K.; Khatir, S.; Benaissa, B.; Banoqitah, E.M.; Alhawsawi, A.M.; Moustafa, E.B. Novel Approach-Based Sparsity for Damage Localization in Functionally Graded Material. Buildings 2023, 13, 1768.

Abstract

Model-based approaches form the basis of the majority of damage detection and localization studies; however, built-in online detection technique can offer an alternative for future structural health monitoring technologies. Thus, in this paper, we present a dynamic localization algorithm for damage localization in functionally graded plates. The method depends on the creation of a grid matrix that contains the dynamic response of the structure over time. Subsequently, an optimization process is carried out via a linear equation representing the information contained within the grid to achieve accurate localization of damage. Due to the inherent sparsity of the localization nature, the FISTA algorithm has been employed as a problem solver. The approach is tested in the case of the functionally graded plate under clamped free boundary conditions. Several, damage scenarios were investigated for the case of damage signals on and off the grid. The results show that the proposed approach is capable of accurately predicting damage position and can be suitable for use in low size data systems.

Keywords

damage detection; sparsity-based approach; finite element; FISTA

Subject

Engineering, Mechanical Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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