Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Composite Structures Année : 2022

Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites

Résumé

In this paper, a multiparametric solution of the stiffness properties of woven composites involving several microstructure parameters is performed. For this purpose, non-intrusive PGD-based methods are employed. From offline pre-computed solutions generated through a full-field multiscale modeling, the proposed method approximates the multidimensional solution as a sum of products of one-dimensional functions each depending on a single variable. The present work aims at providing an accurate approximation of this multiparametric solution with lower computational cost for dataset generation. Thus, a comparative analysis of three non-intrusive PGD formulations (SSL, s-PGD and ANOVA-PGD) is carried out. The obtained results reveal and demonstrate that the ANOVA-PGD model works well for approximating the stiffness properties over the entire parameter space, i.e., along its boundary as well as inside it, by using only few pre-computed high-fidelity solutions. Finally, a GUI application is developed to exploit this multiparametric solution by incorporating other composite weave architectures. This application could be easily used by engineers and composite designers, to deduce, in real-time, the macroscopic properties of woven composite for a given set of microstructural parameters by simply varying the cursors and without any microstructure generation and meshing nor FE computations using periodic homogenization.
Fichier principal
Vignette du fichier
LEM3_COST_2022_MERAGHNI.pdf (3.79 Mo) Télécharger le fichier

Dates et versions

hal-03781066 , version 1 (20-09-2022)

Licence

Identifiants

Citer

Mohammed El Fallaki Idrissi, Francis Praud, Victor Champaney, Francisco Chinesta, Fodil Meraghni. Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites. Composite Structures, 2022, 302, pp.116228. ⟨10.1016/j.compstruct.2022.116228⟩. ⟨hal-03781066⟩
142 Consultations
98 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More