The Correlation framework: bridging the gap between modeling and analysis for 3D woven composites

Arturo Mendoza (1, 2) , Julien Schneider (3) , Estelle Parra (2) , Stéphane Roux (1)

1 LMT - Laboratoire de Mécanique et Technologie
2 Safran Tech
3 Safran Aircraft Engines

A large variety of dierent descriptors can be employed for describing 3D woven composites. Each of them is targeted to a specic application, ranging from design, weaving, molding, impregnation down to non-destructive testing, imaging and numerical modeling of the actual micro-structure. In order to relate these dierent representations, it is proposed herewith to rely on the inherent weaving pattern as an intrinsic common feature, and to resort to images as a common language to guaranty the continuity of information. To connect these 3D images (either real or synthesized), Digital Volume Correlation (DVC) is called for in order to exploit the conservation of topology. A complete test scenario is devised in which dierent manufactured woven samples are compared to the theoretical textile arrangement. The results conrm the eectiveness of the method.

Domaines: Matériaux

Arturo Mendoza, Julien Schneider, Estelle Parra, Stéphane Roux. The Correlation framework: bridging the gap between modeling and analysis for 3D woven composites. Composite Structures, 2019, pp.111468. ⟨10.1016/j.compstruct.2019.111468⟩. ⟨hal-02296558⟩