Advanced FE-based multimodal correlation analyses for the characterization of woven composite - Laboratoire de mécanique et technologie
Article Dans Une Revue Mechanical Systems and Signal Processing Année : 2025

Advanced FE-based multimodal correlation analyses for the characterization of woven composite

Résumé

This paper presents a comprehensive characterization of a woven glass fiber composite sample with two notches in the gauge area subjected to cyclic tension using an Arcan fixture. An advanced optical setup was developed, comprising two visible light cameras and an infrared camera. Additionally, an X-ray scanner was employed to examine ex-situ the bulk for microstructural changes during the experiment. A multimodal correlation method is introduced that combines hybrid (infrared-visible) multiview correlations and Digital Volume Correlation to measure displacement, strain, and temperature fields within the same Lagrangian framework. The strain fields obtained from both algorithms are consistent. The findings reveal the presence of asymmetric shear bands and damage originating from the notch roots due to the underlying woven architecture. Several damage mechanisms are identified from both frameworks.
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Dates et versions

hal-04835449 , version 1 (13-12-2024)

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Andrija Zaplatić, Zvonimir Tomičević, Xuyang Chang, Petar Kosec, Stéphane Roux, et al.. Advanced FE-based multimodal correlation analyses for the characterization of woven composite. Mechanical Systems and Signal Processing, 2025, 224, pp.112079. ⟨10.1016/j.ymssp.2024.112079⟩. ⟨hal-04835449⟩
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