2 papers
cs.CE2024
Training an AI hyperelastic constitutive model with experimental data
Clément Jailin, Antoine Benady, Emmanuel Baranger
A Physics-Augmented Neural network is trained to model a hyperelastic behavior. The dataset used for the training, validation, and test are displacement-force couples obtained from…
physics.med-ph2024
Experimental Learning of a Hyperelastic Behavior with a Physics-Augmented Neural Network
Clément Jailin, Antoine Benady, Remi Legroux +1
The recent development of Physics-Augmented Neural Networks (PANN) opens new opportunities for modeling material behaviors. These approaches have demonstrated their efficiency when…