2022-Sustainable Industrial Processing Summit
SIPS2022 Volume 12 Trovalusci Intl. Symp Multiscale & Multiphysics Modelling of Complex Materials
| Editors: | F. Kongoli, E. Aifantis, R. Das, V.Eremeyev, N. Fantuzzi. |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2022 |
| Pages: | 116 pages |
| ISBN: | 978-1-989820-56-8(CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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Data-model-coupling method for fracture analysis of composite structures
Ping Li1; Zengtao Kuang2; Jie Yang1; Qun Huang1; Wei Huang1; Heng Hu1;1WUHAN UNIVERSITY, Wuhan, China; 2, Wuhan, China;
Type of Paper: Keynote
Id Paper: 467
Topic: 64
Abstract:
Recently, a data-model-coupling method has been proposed based on a unified functional. This approach represents both the governing equations of data-driven computing and model-driven computing by using the same distance-based functional, thus enabling the two algorithms to be freely interconverted. The present study aims to further demonstrate the effectiveness of this coupling method in fracture analysis of composite structures. The data-driven algorithm is used in the area where the material modelling is complex, while the model-driven algorithm is applied in the rest areas to ensure high computational efficiency. The extended finite element method (XFEM) is employed to model the crack discontinuity and track the crack propagation path. We take a sandwich structure with an initial crack as an example to verify the effectiveness of the coupling method. The results demonstrate the capability of this coupling method to correctly predict the crack propagation path in composite structures.
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