Computational geometrical and mechanical modeling of woven ceramic composites at the mesoscale

Autor: Pierre Ladevèze, Emmanuel Baranger, Martin Genet, C. Fagiano
Přispěvatelé: ONERA - The French Aerospace Lab [Châtillon], ONERA-Université Paris Saclay (COmUE), Laboratoire de Mécanique et Technologie (LMT), École normale supérieure - Cachan (ENS Cachan)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2014
Předmět:
Zdroj: Composite Structures
Composite Structures, Elsevier, 2014, Computational geometrical and mechanical modeling of woven ceramic composites at the mesoscale, 112, pp.146-156. ⟨10.1016/j.compstruct.2014.01.045⟩
Composite Structures, 2014, Computational geometrical and mechanical modeling of woven ceramic composites at the mesoscale, 112, pp.146-156. ⟨10.1016/j.compstruct.2014.01.045⟩
ISSN: 0263-8223
Popis: International audience; Woven composite materials are receiving particular attention in a wide range of specialized aeronautical applications. Reliable numerical prediction tools based on computational modeling are required to quantitatively characterize the role of the microstructure and damage mechanisms at the mesoscale. In this paper, such a computational strategy is illustrated on a generic SiC/SiC plain weave composite with chemical vapor infiltrated matrix. Matrix and tows damage mechanisms are respectively introduced through the use of an anisotropic damage model, and an homogenized model based on a micromechanical model on the fiber scale. The latter is presented in this paper for the first time. Particular attention is paid to the generation of accurate hexahedral meshes, compatible at the tow–tow and tow–matrix interfaces. The mesh quality is analyzed using an error estimator variable based on the strain energy density. Damage predictions obtained using tetrahedral and hexahedral meshes are compared for basic loading cases, illustrating the need for using high quality meshes in the growing community of woven composites computational modeling.
Databáze: OpenAIRE