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Liste des publications du LMPS

Affichage des publications 191 à 200 sur 1912 au total

Engineering Sciences

Experimental and numerical analysis of high-pressure CO2 injection flow inside a homogeneous porous microchip model

Supercritical carbon dioxide (sCO2) possesses unique physical properties in the critical region—characterized by high density, low viscosity, and strong solvation capacity—exhibiting critical flow and heat transfer behaviors in porous media that are…

Lin Chen, Jiaxin Liu, Mengshuai Chen, Xuefen Yan, Atsuki Komiya, Rachid Bennacer

International Journal of Heat and Fluid Flow -

Mechanics

Neural Architecture Search with Bayesian Optimization: Designing LSTM Networks to Predict Damage Evolution in Composite Laminates

This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective is to advance the understanding of Neural…

Orestis Friderikos, Arturo Mendoza, Emmanuel Baranger, John Mirisidis, Dimitrios Sagris, Constantine David, Zvonimir Tomičević

Engineering Sciences

Residual stresses and strains during laser assisted tape placement of thermoplastic composite: Multi-physical modelling and experimental validation

The prediction of residual stresses and strains during laser-assisted tape placement of thermoplastic composite has been investigated by numerous studies in the literature. They are however rarely validated compared to experimental results and based…

Mael Péron, Anna Maria El Bayssari, Anaïs Barasinski, Frédéric Jacquemin, Federica Daghia, Damien Guillon

Composites Part A: Applied Science and Manufacturing -

Engineering Sciences

Residual correction for POD-Galerkin reduced order models via conditional VAEs: Application to the bias-aware solution of forward and inverse problems

POD-Galerkin reduced order models (PGROMs) significantly accelerate the solution of parameterized partial differential equations (PDEs) but can suffer from accuracy limitations across the parameter space. We propose a hybrid framework that augments…

Dawen Wu, Ludovic Chamoin

Computer Methods in Applied Mechanics and Engineering -

Engineering Sciences

Noise-bias compensation for the unsupervised learning of constitutive laws

The Efficient Unsupervised Constitutive Law Identification and Discovery (EUCLID) framework allows the non-supervised learning of constitutive laws from full-field displacement data and global reaction forces. Nonetheless, its accuracy is adversely…

Clément Jailin, Stéphane Roux, Antoine Benady, Emmanuel Baranger

Comptes Rendus. Mécanique -

Construction durable

Oyster shell concrete durability in marine environment

Each year, 6.6 million tons of oysters are produced worldwide, representing an important amount of waste that can be valorized in cementitious materials. In particular, oyster shell co-products can replace coarse aggregates up to a 50% volume…

Camille Martin--Cavaillé, Alexandra Bourdot, Nassim Sebaibi, Rachid Bennacer

Journal of Materials in Civil Engineering -

Engineering Sciences

On the identification of rigid body boundary conditions from full-field measurements

This study presents a method to identify Dirichlet boundary conditions (BCs) and constitutive parameters from heterogeneous experimental data, solving a multi-objective optimization problem. The BCs are parameterized as remote rigid body motions…

Antoine Vintache, Pierre Baudoin, Renaud Gras, Florent Mathieu, François Hild

International Journal of Solids and Structures -