Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks
Reconstructing local stress fields in heterogeneous microstructures under non-linear, history-dependent loading remains a major computational bottleneck in multi-scale simulations. We propose a coupled LSTM-GNN framework that links the temporal and spatial aspects of local stress field reconstruction. A Long Short-Term...
Manuel Ricardo Guevara Garban, Yves Chemisky, Michaël Clément et al.
· Computer Methods in Applied... · 0 citations