GM
Gowri Remesh Menon
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Consistent Phase Field Modeling of Anisotropic Fracture
With Applications to Composites
As the microstructures of engineering materials become increasingly complex, they give rise to advanced fracture processes. Despite independent efforts, consistently accounting for fracture anisotropy and mode-mixity in phase field modeling remains challenging. Motivated by the anisotropic, mixed-mode fracture processes observed in composites, the proposed methodology introduces a direction- and mode-dependent fracture energy to model crack resistance in a physically consistent manner. Contrary to methods commonly seen in the literature that incorporate anisotropic crack resistance through the crack surface density, in this work, the fracture energy is defined by a function that takes the crack orientation and mode-mixity as arguments. The model was applied to several numerical examples, ranging from isotropic mode-independent conditions to anisotropic mixed-mode conditions. In all cases, the results show good agreement with reference solutions and available experimental trends.
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As the microstructures of engineering materials become increasingly complex, they give rise to advanced fracture processes. Despite independent efforts, consistently accounting for fracture anisotropy and mode-mixity in phase field modeling remains challenging. Motivated by the anisotropic, mixed-mode fracture processes observed in composites, the proposed methodology introduces a direction- and mode-dependent fracture energy to model crack resistance in a physically consistent manner. Contrary to methods commonly seen in the literature that incorporate anisotropic crack resistance through the crack surface density, in this work, the fracture energy is defined by a function that takes the crack orientation and mode-mixity as arguments. The model was applied to several numerical examples, ranging from isotropic mode-independent conditions to anisotropic mixed-mode conditions. In all cases, the results show good agreement with reference solutions and available experimental trends.
Bachelor thesis
(2024)
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A.A. Atasoglu, A. Pelin, B. Tasi, B. Sousa Alves, C.K. Norrman, F. Fenoglio Gaddò, G.R. Menon, L. Daumerie, M. Fey, T. Georgieva, A. Bombelli, O. Stroosma, A. Wulff