Researchers have developed a novel mesh-free method for phase-field modeling of brittle fracture, utilizing a single neural network to represent displacement and phase fields. This approach trains the network by directly minimizing the incremental energy, incorporating multiresolution feature encoding via C1 quadratic B-spline grids. The method demonstrates critical pairings that allow for accurate crack propagation prediction and classification of crack states, outperforming existing deep Ritz baselines on benchmark datasets. AI
影响 Introduces a novel neural network approach for simulating complex physical phenomena like brittle fracture.
排序理由 Research paper published on arXiv detailing a new computational method. [lever_c_demoted from research: ic=1 ai=1.0]
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
