ORALS

SESSION: ModellingMonPM2-R8	Trovalusci International Symposium (17th Intl. Symp. on Multiscale & Multiphysics Modelling of 'Complex' Material (MMCM17) )
Mon. 28 Nov. 2022 / Room: Similan 1
Session Chairs: Adnan Ibrahimbegovic; Session Monitor: TBA

17:10: [ModellingMonPM212] OS Keynote
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;
Paper Id: 467 [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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