An extended deep energy method for thermo-mechanical crack propagation
This research developed an extended deep energy method to model sharp crack propagation under thermal and mechanical loads simultaneously. It uses neural networks coupled by a discontinuous function to represent temperature and displacement fields, explicitly encoding the crack geometry. The method successfully predicted stress intensity factors and crack paths with high accuracy against benchmark problems.