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Publications

Toutes les publications du projet ERC.

Affichage des publications 31 à 40 sur 72 au total

Engineering Sciences

Identification et suivi de l'endommagement structural à l'aide de mesures expérimentales et d'une approche par filtre de Kalman modifié

Dans cette étude, une approche par filtre de Kalman modifié est appliquée en utilisant des données de déformation, obtenues par des capteurs à fibre optique à diffusion de Rayleigh lors d'un essai de flexion 4-points. l'objectif de cette approche…

Sahar Farahbakhsh, Ludovic Chamoin, Martin Poncelet

16ème Colloque National en Calcul de Structures (CSMA 2024) -

Engineering Sciences

OFDR optic fiber measurements: Performance limitations

As a part of the PhD research project, an OFDR Rayleigh-based optic fiber sensor is embedded as shown in a beam sample, passing through it 4 times to provide strain measurements along the axis of the fiber during a quasi-static 4-point bending test…

Sahar Farahbakhsh, Martin Poncelet, Ludovic Chamoin

Colloque National Mécamat, 2024 -

Artificial Intelligence

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

Cet article propose une méthode d'apprentissage de lois de comportement nonsupervisé, fondée sur la minimisation de l'erreur en relation de comportement modifiée. La loi de comportement, en termes de loi d'état et d'équation d'évolution, est…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

Artificial Intelligence

Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework.

This article proposes a consistent and general approach to train physics-augmented neural networks with observable data to enrich and represent nonlinear history-dependent material behaviors in terms of both state equations and evolution laws. In…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

Computer Methods in Applied Mechanics and Engineering -

Artificial Intelligence

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

Structural health monitoring is a major concern in the field of engineering [1]. On-board sensing techniques, such as fiber optics, enable accurate in-situ measurements of mechan- ical strain, providing rich experimental data that can be used in…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

ECCOMAS Congress 2024 - The 9th European Congress on Computational Methods in Applied Sciences and Engineering -

Neural and Evolutionary Computing

NN-mCRE: a modified Constitutive Relation Error framework for unsupervised learning of nonlinear state laws with physics-augmented Neural Networks

This article proposes a new approach to train physics-augmented neural net-works with observable data to represent mechanical constitutive laws. To trainthe neural network and learn thermodynamics potentials, the proposed methoddoes not rely on…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

International Journal for Numerical Methods in Engineering -

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.

RoboDK