Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD)
Abstract Computational Fluid Dynamics (CFD) is one of the modeling approaches essential
to identifying the parameters that affect Containment Thermal Hydraulics (CTH) phenomena …
to identifying the parameters that affect Containment Thermal Hydraulics (CTH) phenomena …
[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 …
3D modeling of squeeze flow of multiaxial laminates
Thermoplastic composites are attractive because they can be recycled and exhibit superior
mechanical properties. As part of a more general research effort, in this paper attention is …
mechanical properties. As part of a more general research effort, in this paper attention is …
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 …
Coarse-grid computational fluid dynamic (CG-CFD) error prediction using machine learning
Despite the progress in high performance computing, Computational Fluid Dynamics (CFD)
simulations are still computationally expensive for many practical engineering applications …
simulations are still computationally expensive for many practical engineering applications …
Randomized residual‐based error estimators for the proper generalized decomposition approximation of parametrized problems
This article introduces a novel error estimator for the proper generalized decomposition
(PGD) approximation of parametrized equations. The estimator is intrinsically random: it …
(PGD) approximation of parametrized equations. The estimator is intrinsically random: it …
Proper Generalized Decomposition with time adaptive space separation for transient wave propagation problems in separable domains
Transient wave propagation problems may involve rich discretizations, both in space and in
time, leading to computationally expensive simulations, even for simple spatial domains …
time, leading to computationally expensive simulations, even for simple spatial domains …
On the prediction of residual stresses in automated tape placement
C Dedieu, A Barasinski, F Chinesta… - International Journal of …, 2017 - Springer
Thermoplastic automated tape placement process allows the manufacture of large
composite parts. This method is based on the continuous welding by fusion bonding of a …
composite parts. This method is based on the continuous welding by fusion bonding of a …
Effect of the separated approximation of input data in the accuracy of the resulting PGD solution
The proper generalized decomposition (PGD) requires separability of the input data (eg
physical properties, source term, boundary conditions, initial state). In many cases the input …
physical properties, source term, boundary conditions, initial state). In many cases the input …