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cond-mat.mtrl-sci2021
Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization
Bernhard Eidel
In the present work, 3D convolutional neural networks (CNNs) are trained to link random heterogeneous, two-phase materials of arbitrary phase fractions to their elastic macroscale…
cs.CE2021
Computational Homogenization of Concrete in the Cyber Size-Resolution-Discretization (SRD) Parameter Space
Ajinkya Gote, Andreas Fischer, Chuanzeng Zhang +1
Micro- and mesostructures of multiphase materials obtained from tomography and image acquisition are an ever more important database for simulation analyses. Huge data sets for rec…