Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites
Autor: | M. El Fallaki Idrissi, F. Praud, V. Champaney, F. Chinesta, F. Meraghni |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
geometrical and material parameters
non-intrusive PGD Mécanique: Mécanique des solides [Sciences de l'ingénieur] Ceramics and Composites mechanical properties Mécanique: Mécanique des matériaux [Sciences de l'ingénieur] multiparametric solution multiscale modeling Civil and Structural Engineering woven composite material |
Popis: | 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. |
Databáze: | OpenAIRE |
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