Antoine Benady

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Unsupervised learning of constitutive model with neural networks and sparse identification of internal variables

Antoine Benady , Emmanuel Baranger , Clément Jailin , Ludovic Chamoin
3rd IACM Digital Twins in Engineering Conference (DTE 2025) & 1st ECCOMAS Artificial Intelligence and Computational Methods in Applied Science (AICOMAS 2025), Feb 2025, Paris, France
Communication dans un congrès hal-04992869 v1

Use of the modified constitutive relation error to learn constitutive relations

Emmanuel Baranger , Antoine Benady , Ludovic Chamoin
21st European Conference on Composite Materials, 2024, Nantes, France
Communication dans un congrès hal-04654555 v1

Adaptive modeling and learning of material laws for effective data assimilation

Ludovic Chamoin , Antoine Benady , Sahar Farahbakhsh , Emmanuel Baranger , Martin Poncelet
16th World Congress on Computational Mechanics, Jul 2024, Vancouver, Canada
Communication dans un congrès hal-04424741 v1
Image document

Training an AI hyperelastic constitutive model with experimental data

Clément Jailin , Antoine Benady , Emmanuel Baranger
Photomechanics - IDICs, Oct 2024, Clermont - Ferrand, France
Communication dans un congrès hal-04720898 v1
Image document

Apprentissage non-supervisé de lois de comportement non- linéaires avec réseau de neurones thermodynamiquement consistent par minimisation de l'erreur en relation de comportement modifiée

Antoine Benady , Emmanuel Baranger , Ludovic Chamoin
16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France
Communication dans un congrès hal-04822948 v1

Physics-Augmented Neural Networks for Constitutive Modeling: Toward an Application for Structural Health Monitoring

Antoine Benady , Emmanuel Baranger , Ludovic Chamoin
The 9th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2024, Jun 2024, Lisbon, France
Communication dans un congrès hal-04361347 v1

A modified Constitutive Relation Error (mCRE) framework to learn nonlinear constitutive models from strain measurements with thermodynamics-consistent Neural Networks

Antoine Benady , Emmanuel Baranger , Ludovic Chamoin
XI Conference on Adaptive Modeling and Simulation, Jun 2023, Gothenburg, France
Communication dans un congrès hal-04205273 v1

A modified Constitutive Relation Error framework to learn nonlinear constitutive laws using physics-augmented Neural Networks

Antoine Benady , Ludovic Chamoin , Emmanuel Baranger
IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology., Sep 2023, El Paso, United States
Communication dans un congrès hal-04205263 v1
Image document

Réseaux de neurones informés par la physique pour l’apprentissage de lois de comportement

Antoine Benady , Ludovic Chamoin , Emmanuel Baranger
IA POUR LES SCIENCES DE L'INGÉNIERIE, Jun 2022, Online, France
Communication dans un congrès hal-03929866 v1
Image document

Réseaux de neurones informés par la physique pour l’apprentissage de lois de comportement.

Antoine Benady , Ludovic Chamoin , Emmanuel Baranger
25ème Congrès Français de Mécanique 2022, Aug 2022, Nantes, France
Communication dans un congrès hal-03727610 v1

Physics-informed neural networks derived from a mCRE functional for constitutive modelling

Antoine Benady , Ludovic Chamoin , Emmanuel Baranger
IUTAM Symposium on Data-driven Mechanics, Oct 2022, Paris, France
Communication dans un congrès hal-03727613 v1
Image document

Physics-informed neural networks derived from a mCRE functional for constitutive modelling

Antoine Benady , Ludovic Chamoin , Emanuel Baranger
Artificial Intelligence and Augmented Engineering, Dec 2022, Palaiseau, France
Communication dans un congrès hal-03929841 v1

Data-based Model Updating, Selection, and Enrichment using the Modified Constitutive Relation Error Concept

Ludovic Chamoin , Antoine Benady , Sahar Farahbakhsh , Emmanuel Baranger , Martin Poncelet
15th World Congress on Computational Mechanics, Jul 2022, Yokohama, Japan
Communication dans un congrès hal-04000251 v1