Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables

Javier Orera-Echeverria, Jacobo Ayensa-Jiménez, Manuel Doblare

Nonlinear materials are often difficult to model with classical state model theory because they have a complex and sometimes inaccurate physical and mathematical description or we…