A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features. (arXiv:2012.11330v4 [cs.CE] UPDATED)

Multiscale computational modelling is challenging due to the high
computational cost of direct numerical simulation by finite elements. To
address this issue, concurrent multiscale methods use the solution of cheaper
macroscale surrogates as boundary conditions to microscale sliding windows. The
microscale problems remain a numerically challenging operation both in terms of
implementation and cost. In this work we propose to replace the local
microscale solution by an Encoder-Decoder Convolutional Neural Network that
will generate fine-scale stress corrections to coarse predictions …

arxiv bayesian framework stress