A short review on model order reduction based on proper generalized decomposition
This paper revisits a new model reduction methodology based on the use of separated
representations, the so called Proper Generalized Decomposition—PGD. Space and time …
representations, the so called Proper Generalized Decomposition—PGD. Space and time …
Accelerated simulation methodologies for computational vascular flow modelling
M MacRaild, A Sarrami-Foroushani… - Journal of the …, 2024 - royalsocietypublishing.org
Vascular flow modelling can improve our understanding of vascular pathologies and aid in
developing safe and effective medical devices. Vascular flow models typically involve …
developing safe and effective medical devices. Vascular flow models typically involve …
[PDF][PDF] Model order reduction
This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
Model reduction methods
This chapter presents an overview of model order reduction–a new paradigm in the field of
simulation‐based engineering sciences, and one that can tackle the challenges and …
simulation‐based engineering sciences, and one that can tackle the challenges and …
[图书][B] Proper generalized decompositions: an introduction to computer implementation with Matlab
This book is intended to help researchers overcome the entrance barrier to Proper
Generalized Decomposition (PGD), by providing a valuable tool to begin the programming …
Generalized Decomposition (PGD), by providing a valuable tool to begin the programming …
[HTML][HTML] Numerical solution of high dimensional stationary Fokker–Planck equations via tensor decomposition and Chebyshev spectral differentiation
This paper focuses on the curse of dimensionality in the numerical solution of the stationary
Fokker–Planck equation for systems with state-independent excitation. A tensor …
Fokker–Planck equation for systems with state-independent excitation. A tensor …
kPCA-based parametric solutions within the PGD framework
Parametric solutions make possible fast and reliable real-time simulations which, in turn
allow real time optimization, simulation-based control and uncertainty propagation. This …
allow real time optimization, simulation-based control and uncertainty propagation. This …
Time‐space PGD for the rapid solution of 3D nonlinear parametrized problems in the many‐query context
D Néron, PA Boucard, N Relun - International Journal for …, 2015 - Wiley Online Library
This work deals with the question of the resolution of nonlinear problems for many different
configurations in order to build a 'virtual chart'of solutions. The targeted problems are three …
configurations in order to build a 'virtual chart'of solutions. The targeted problems are three …
A Newmark space-time formulation in structural dynamics
F Bamer, N Shirafkan, X Cao, A Oueslati… - Computational …, 2021 - Springer
In this contribution, we present a space-time formulation of the Newmark integration scheme
for linear damped structures under both harmonic and transient excitations. The incremental …
for linear damped structures under both harmonic and transient excitations. The incremental …
Non-incremental transient solution of the Rayleigh–Bénard convection model by using the PGD
This paper focuses on the non-incremental solution of transient coupled non-linear models,
in particular the one related to the Rayleigh–Bénard flow problem that models natural …
in particular the one related to the Rayleigh–Bénard flow problem that models natural …