期刊
COMPOSITE STRUCTURES
卷 258, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2020.113431
关键词
Inverse finite element method; Structural health monitoring; Shape sensing; FBG sensors; Strain gauges; Digital image correlation, woven composite structures
资金
- Scientific and Technological Research Council of Turkey (TUBITAK) [217M207]
This study experimentally applies the inverse finite element method (iFEM) for real-time displacement reconstruction of a moderately thick wing-shaped sandwich structure using a network of strain sensors and the RZT algorithm. The results show that the iFEM approach demonstrates good consistency with traditional DIC/FEM analysis and experimental strain results.
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.
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