Results 21 to 30 of about 247,001 (308)

On the High-Resolution Discretization of the Maxwell Equations in a Composite Tape and the Heating Effects Induced by the Dielectric Losses

Computation, 2022
Electromagnetic field propagation inside composite materials represents a challenge where fiber-scale simulation remains intractable using classical simulation methods.
Chady Ghnatios, Anais Barasinski, Francisco Chinesta   +2 more
doaj   +1 more source

A Path Planning Algorithm for a Dynamic Environment Based on Proper Generalized Decomposition

Mathematics, 2020
A necessity in the design of a path planning algorithm is to account for the environment. If the movement of the mobile robot is through a dynamic environment, the algorithm needs to include the main constraint: real-time collision avoidance.
Antonio Falcó, Lucía Hilario, Nicolás Montés, Marta C. Mora, Enrique Nadal   +4 more
doaj   +1 more source

COUPLING FINITE ELEMENTS AND PROPER GENERALIZED DECOMPOSITIONS [PDF]

International Journal for Multiscale Computational Engineering, 2011
Numerous models encountered in science and engineering remain nowadays , despite the impressive recent progresses attained in computational simulation techniques, intractable when the usual and well experienced discretization techniques are applied for their numerical simulation.
Ammar, Amine, Chinesta, Francisco, Cueto, Elías   +2 more
openaire   +2 more sources

Mechanical Characterization of Li-Ion Cells and the Calibration of Numerical Models Using Proper Generalized Decomposition

Energy, 2023
The behavior of lithium-ion cells under mechanical load is determined by both experiments and simulations. Extensive experimental data are required for the calibration and validation of complex numerical models.
Alexander Schmid, A. Pasquale, Christian Ellersdorfer, Marco Raffler, V. Champaney, M. Ziane, Francisco Chinesta, Florian Feist   +7 more
semanticscholar   +1 more source

Error estimation and adaptivity for PGD based on complementary solutions applied to a simple 1D problem

Advanced Modeling and Simulation in Engineering Sciences, 2020
Reduced order methods are powerful tools for the design and analysis of sophisticated systems, reducing computational costs and speeding up the development process.
Jonatha Reis, José Paulo Moitinho de Almeida, Pedro Díez, Sergio Zlotnik   +3 more
doaj   +1 more source

Error estimation for proper generalized decomposition solutions: A dual approach [PDF]

International Journal for Numerical Methods in Engineering, 2020
SummaryThe proper generalized decomposition is a well‐established reduced order method, used to efficiently obtain approximate solutions of multi‐dimensional problems in a procedure that controls the effects of the “curse of dimensionality.” The question of assessing the quality of the solutions obtained and adapting the approximations assumed, for ...
Reis, Jonatha, Moitinho de Almeida, J. P., Díez, Pedro, Zlotnik, Sergio   +3 more
openaire   +4 more sources

Spectral proper transformation and application to gust response prediction of structures

Vietnam Journal of Mechanics, 2007
Random turbulent loading on engineering structures which immersed in the atmospheric turbulent flow is often represented as the multi-dimensional and/ or multivariate Gaussian random loading processes. Gust response prediction, however, usually burdens a
Le Thai Hoa, Nguyen Dong Anh
doaj   +1 more source

A reduced Galerkin finite element formulation based on proper orthogonal decomposition for the generalized KDV-RLW-Rosenau equation

Journal of Inequalities and Applications, 2023
This paper investigates reduced-order modeling of the Korteweg de Vries regularized long-wave Rosenau (KdV-RLW-Rosenau) equation using semi- and fully-discrete B-spline Galerkin approximations. The approach involves the application of a proper orthogonal
Wenju Zhao, Guang-Ri Piao
doaj   +1 more source

The proper generalized decomposition for the simulation of delamination using cohesive zone model [PDF]

, 2014
The use of cohesive zone models is an efficient way to treat the damage, especially when the crack path is known a priori. This is the case in the modeling of delamination in composite laminates.
Alfano, Ammar, Ammar, Ammar, Ammar, Balzani, Barenblatt, Blackman, Bognet, Chen, Chinesta, Chinesta, Chinesta, Chinesta, de Moura, Dugdale, Harper, Ladeveze, Ladeveze, Lee, Leski, Liua, Nouy, Nouy, Pruliere, Pruliere, Rybicki, Tenchev, Turon, Turon, Tàvara, Valoroso, Vidal, Vidal, Xie, Xie   +35 more
core   +4 more sources

An overview of the proper generalized decomposition with applications in computational rheology [PDF]

, 2014
We review the foundations and applications of the proper generalized decomposition (PGD), a powerful model reduction technique that computes a priori by means of successive enrichment a separated representation of the unknown field.
AMMAR, Amine, CHINESTA, Francisco, KEUNINGS, Roland, LEYGUE, Adrien   +3 more
core   +2 more sources