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Liste des publications du LMPS

Affichage des publications 541 à 550 sur 1638 au total

Engineering Sciences

Transport Map Coupling Filter for State-Parameter Estimation

Many dynamical systems are subjected to stochastic influences, such as random excitations, noise, and unmodeled behavior. Tracking the system's state and parameters based on a physical model is a common task for which filtering algorithms, such as…

Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer

Advances in Reliability, Safety and Security -

Electromagnetism

Multimaterial filtering applied to the topology optimization of a permanent magnet synchronous machine

This study aims to propose a general methodology to handle multimaterial filtering for density-based topology optimization containing periodic or antiperiodic boundary conditions, which are expected to reduce the simulation time of electrical…

Théodore Cherrière, S Hlioui, François Louf, Luc Laurent

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering -

Mathematics

Local dynamic reconstruction in digital breast tomosynthesis

Description of purpose: Digital Breast Tomosynthesis (DBT) is a pseudo 3D X-ray imaging technique that limits the tissue superimposition problem observed in 2D mammography. DBT is therefore on track to become a standard of care for breast cancer…

Matteo Barbieri, Clément Jailin, Laurence Vancamberg, Stéphane Roux

17th International Workshop on Breast Imaging (IWBI 2024) -

Data Analysis, Statistics and Probability

Active learning reliability analysis for the design of continuous reinforced concrete beams

In the context of uncertainty propagation, conducting efficient structural reliability analysis iscrucial for the design and analysis of computationally expensive engineering problems, such asthe design of reinforced concrete rail bridges…

Mouhammed Achhab, Pierre Jehel, Fabrice Gatuingt

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

Solid mechanics

A hybrid approach with reduced order modelling and graph neural networks for non-parametric problems

Reduced Order Modelling (ROM), such as the Proper Generalized Decomposition (PGD) [1], offers accelerated solutions for partial differential equations (PDEs). However, their effectiveness often relies on parametrization, limiting applicability to…

Victor Matray, Faisal Amlani, Frédéric Feyel, David Néron

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