An Interprocess Communication based Integration of AI User Materials into LS-DYNA

Machine Learning (ML) driven material models have been investigated for some time now. The respective ML models can be trained outside of the Finite Element solvers by means of given strain paths and corresponding stress results which have either been recorded from simulations, drawn from distributions, or even measured from hardware tests. The trained models can be easily evaluated regarding their performance based on an-other set of strain paths with results that have not been presented to the model during training. When a model has reached a promising prediction accuracy on the validation data, the natural next step is to test it in a finite element simulation by integrating the trained model as a user material.