Implementation of Hyperelastic Physics-Augmented Neural Networks in the Explicit Finite Element Codes Simcenter Radioss and OpenRadioss with Applications to Impact Events
This work integrates Physics-Augmented Neural Networks (PANNs) into explicit finite element solvers like Simcenter Radioss and OpenRadioss. A framework allows transferring pre-trained network architectures and parameters to create standalone user material routines. By replacing the SoftPlus activation with SQuarePlus, the method achieves a practical route for using machine learning models in engineering simulations while maintaining computational efficiency.