Graph neural networks for simulating crack coalescence and propagation in brittle materials
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Publication:2142205
DOI10.1016/j.cma.2022.115021OpenAlexW4280598592MaRDI QIDQ2142205
Roberto Perera, Vinamra Agrawal, Davide Guzzetti
Publication date: 27 May 2022
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2107.05142
brittle materialsextended finite element methodgraph neural networksmachine learning simulatormicrocracks coalescence
Related Items (2)
Data-driven spatiotemporal modeling for structural dynamics on irregular domains by stochastic dependency neural estimation ⋮ Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data
Uses Software
Cites Work
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