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Liste des publications du LMPS

Affichage des publications 361 à 370 sur 1301 au total

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

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

Engineering Sciences

A 3D pantographic metamaterial behaving as a mechanical shield: Experimental and numerical evidence

Multilayer pantographic metamaterials, in short, pantographic blocks, have shown peculiar mechanical behavior, especially when their constitutive hinges are revolving (i.e., perfect) joints. The pantographic block, which is the subject of the…

Alessandro Ciallella, Ivan Giorgio, Emilio Barchiesi, Gianluca Alaimo, Alberto Cattenone, Benjamin Smaniotto, Antoine Vintache, Francesco d'Annibale, Francesco Dell'Isola, François Hild, Ferdinando Auricchio

Materials & Design -

Signal and Image processing

Brightness and contrast corrections for stereocorrelation: Global and instantaneous formulation with spatial regularization

Stereocorrelation (SC) is a versatile experimental method increasingly used to measure 3D surface displacements in complex mechanical tests. However, convergence issues may arise when gray-level conservation is no longer validated, particularly when…

Xuyang Chang, Corentin Le Gourriérec, François Hild, Stéphane Roux

Mechanical Systems and Signal Processing -

Engineering Sciences

Comprehensive full-field measurements via Digital Image Correlation

This chapter is devoted to the use of Digital Image Correlation (DIC) in solid mechanics. Imaging mechanical tests, or performing them in situ (i.e., within an imaging device), has opened the way to a quantitative analysis of the specimen kinematics…

Stéphane Roux, François Hild

Vadim Silberschmidt (Edt.) -

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

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

Engineering Sciences

Parameter identification of a phase-field fracture model using integrated digital image correlation

Phase-field fracture (PFF) modeling is a popular approach to model and simulate fracture processes in solids. Accurate material parameters and boundary conditions are of utmost importance to ensure a good prediction quality of numerical simulations…

Viktor Kosin, Amélie Fau, Clément Jailin, François Hild, Thomas Wick

Computer Methods in Applied Mechanics and Engineering -