In this paper, we propose a general deterministic framework to question the relevance, assess the quality, and ultimately choose the features (in terms of model class and discretization mesh) of the employed computational mechanics model when…
A still open question is how to design smart and autonomous mechanical structures able to perform online monitoring of their integrity and take anticipated actions during service before downtime of failure occur. To address this question, we present…
Ludovic Chamoin, Emmanuel Baranger, Antoine Benady, Pierre-Étienne Charbonnel, Matthieu Diaz, Sahar Farahbakhsh, Laurent Fribourg, Daniel Martin Xavier, Martin Poncelet
The recent development of Physics-Augmented Neural Networks (PANN) opens new opportunities for modeling material behaviors. These approaches have demonstrated their efficiency when trained on synthetic cases. This study aims to demonstrate the…
Clément Jailin, Antoine Benady, Remi Legroux, Emmanuel Baranger
Prior to any numerical development, the paper objective is to answer first to a fundamental question: what is the mathematical form of the most general data-driven constitutive model for stable materials, taking maximum account of knowledge from…
Pierre Ladevèze, Ludovic Chamoin
Advanced Modeling and Simulation in Engineering Sciences -
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 two experiments on a rubber-like material. One experiment was…
Over the past decades, non-linear models describing damage and fracture of architectured materials have highly progressed, taking into account varied scenarios of degradation under complex multi-axial loadings. Many of these models remain expansive…
Emmanuel Baranger
48th International Conference and Expo on Advanced Ceramics and Composites (ICACC 2024) -
Le LMPS utilise RoboDK pour la simulation et la programmation hors-ligne des robots industriels .
LMPS uses RoboDK for offline simulation and programming of industrial robots.
