A peridynamic-informed deep learning model for brittle damage prediction

Roozbeh Eghbalpoor, Azadeh Sheidaei

In this study, a novel approach that combines the principles of peridynamic (PD) theory with PINN is presented to predict quasi-static damage and crack propagation in brittle mater…