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Liste des publications du LMPS

Affichage des publications 391 à 400 sur 1396 au total

Solid mechanics

Modèle non local pour la prise en compte des effets de gradient de contraintes en fretting-fatigue : Application aux contacts entre corps isotropes élastiquement dissimilaires

Les problèmes de fretting ou de fretting-fatigue sont caractérisés par la présence d'un fort gradient de contraintes apparaissant en bords de contact. En se basant sur une analogie entre la mécanique de la rupture et la mécanique du contact, une…

Naansonou Patrick Lare, Y Guilhem, Florian Meray, S Pommier

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

Engineering Sciences

Adaptive space-time model order reduction with dual-weighted residual (MORe DWR) error control for poroelasticity

Abstract In this work, the space-time MORe DWR ( M odel O rder Re duction with D ual- W eighted R esidual error estimates) framework is extended and further developed for single-phase flow problems in porous media. Specifically, our problem…

Hendrik Fischer, Julian Roth, Ludovic Chamoin, Amélie Fau, Mary Wheeler, Thomas Wick

Advanced Modeling and Simulation in Engineering Sciences -

Materials and structures in mechanics

A simplified model for the wear prediction of plain bearings in the variable stator vane system

The wear of plain bearings in the variable stator vane (VSV) systems in a turbojet engine is a significant problem for compressor efficiency and stability requiring adapted models. The VSV bearings are located in a complex system and are exposed to…

Myriam Harnafi, Pierre-Alain Guidault, Pierre-Alain Boucard, Christian Paleczny

Tribology International -

Dynamique, vibrations

Utilisation de l'erreur en relation de comportement modifiée dans un dialogue essais-calculs - Application au contrôle d'essais sismiques

Le filtre de Kalman Dual Modifié (MDKF) est un nouveau cadre d'assimilation de données développé autour de l'Erreur en Relation de Comportement modifiée (ERCm), fonctionnelle d'identification au sens physique fort et robuste au bruit de mesure. L…

Matthieu Diaz, Pierre-Étienne Charbonnel, Ludovic Chamoin

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

Materials

DIC to evaluate a model composite system cracking due to CTE mismatch

Coefficient of thermal expansion (CTE) mismatch in composites under temperature variation can lead to the system cracking. In this study, Digital Image Correlation (DIC) was used to investigate this phenomenon in a model composite system (MCS)…

Igor Paganotto Zago, Rafael Vargas, Vinicius Fiocco Sciuti, Rodrigo Bresciani Canto, Ricardo Afonso Angélico

Theoretical and Applied Fracture Mechanics -

Artificial Intelligence

Metamodèle de la propagation d'ondes sismiques 3D par opérateur neuronal de Fourier (FNO) amélioré avec un transfert d'apprentissage.

L’estimation de l’aléa sismique dans la zone d’une installation nucléaire doit prendre en compte un grand nombre d’incertitudes, et en particulier notre connaissance limitée de la géologie. Or, on sait que certaines caractéristiques géologiques…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

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

Artificial Intelligence

A deep learning-based earthquake simulator: from source and geology to surface wavefields

Recent advances in scientific machine learning have led to major breakthroughs in predicting Partial Differential Equations’ solutions with deep learning. Neural operators, for instance, have been successfully applied to the elastic wave equation,…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

European Geophysical Union General Assembly 2024 -

Artificial Intelligence

Deep learning generative strategies to enhance 3D physics-based seismic wave propagation: from diffusive super-resolution to 3D Fourier Neural Operators.

Estimating the seismic hazard in earthquake-prone regions, in order to assess the risk associated to nuclear facilities, must take into account a large number of uncertainties, and in particular our limited knowledge of the geology. And yet, we know…

Filippo Gatti, Fanny Lehmann, Hugo Gabrielidis, Michaël Bertin, Didier Clouteau, Stéphane Vialle

European Geophysical Union General Assembly 2024 -

Mechanics

Development of high-fidelity numerical models for 3D printing of patient-specific anatomy

In this work, we intend to conduct a parametric optimization of realistic 3D-printed models of abdominal aortic aneurysms (AAA) for surgical training and rehearsals. To do so, we propose to use the Proper Generalized Decomposition (PGD) technique…

Loïc Guezou, Andrea Barbarulo, Bing Tie

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