An experimental implementation of inverse finite element method for real-time shape and strain sensing of composite and sandwich structures

Journal article

Kefal, A., Emami Tabrizi, I., Tansan, M., Kisa, E. and Yildiz, M. 2024. An experimental implementation of inverse finite element method for real-time shape and strain sensing of composite and sandwich structures. Composite Structures. 258, pp. 1-20. https://doi.org/10.1016/j.compstruct.2020.113431
AuthorsKefal, A., Emami Tabrizi, I., Tansan, M., Kisa, E. and Yildiz, M.
Abstract

In this study, the inverse finite element method (iFEM) is experimentally applied to real-time displacement reconstruction of a moderately thick wing-shaped sandwich structure via a network of strain sensors. For this purpose, the iFEM algorithm is incorporated to the kinematic relations of refined zigzag theory (RZT) by considering laminate mechanics of the woven-fabric reinforcement. After a twill-woven wing-shaped structure is manufactured with embedded fiber Bragg grating sensors and surface mounted strain gauges/rosettes, the discrete real-time experimental strains are acquired from these sensors concurrently during a flexural test of the structure. This data is then processed by iFEM algorithm for full-field displacement and strain monitoring. Moreover, the displacement fields at the one edge of the sandwich structure is monitored by digital image correlation (DIC) system simultaneously. Furthermore, the reference displacement solutions are established by performing high-fidelity FEM analysis. Finally, the three-dimensional real-time deformations and strains obtained through iFEM approach show very good consistency when compared to the results of DIC/FEM analysis and experimental strains, respectively. Overall, the present study serves as a comprehensive experimental guidance of iFEM-based shape and strain sensing for its realistic implementation on large-scale composite structures and notably increases technology readiness level of the iFEM methodology.

KeywordsInverse finite element method; Structural health monitoring; Shape sensing
Year2024
JournalComposite Structures
Journal citation258, pp. 1-20
PublisherElseiver
ISSN0263-8223
Digital Object Identifier (DOI)https://doi.org/10.1016/j.compstruct.2020.113431
Web address (URL)https://www.sciencedirect.com/science/article/abs/pii/S0263822320333602
Output statusPublished
Publication dates
Online11 Dec 2020
Publication process dates
Accepted06 Dec 2020
Deposited25 Jul 2024
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