Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD)

BN Hanna, NT Dinh, RW Youngblood… - Progress in Nuclear …, 2020 - Elsevier
Abstract Computational Fluid Dynamics (CFD) is one of the modeling approaches essential
to identifying the parameters that affect Containment Thermal Hydraulics (CTH) phenomena …

[PDF][PDF] Model order reduction

F Chinesta, A Huerta, G Rozza… - Encyclopedia of …, 2016 - ww2.lacan.upc.edu
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 …

Model reduction methods

F Chinesta, A Huerta, G Rozza… - Encyclopedia of …, 2017 - Wiley Online Library
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 …

3D modeling of squeeze flow of multiaxial laminates

C Ghnatios, E Abisset-Chavanne, C Binetruy… - Journal of Non …, 2016 - Elsevier
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 …

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 …

Coarse-grid computational fluid dynamic (CG-CFD) error prediction using machine learning

BN Hanna, NT Dinh, RW Youngblood… - arXiv preprint arXiv …, 2017 - arxiv.org
Despite the progress in high performance computing, Computational Fluid Dynamics (CFD)
simulations are still computationally expensive for many practical engineering applications …

Randomized residual‐based error estimators for the proper generalized decomposition approximation of parametrized problems

K Smetana, O Zahm - International Journal for Numerical …, 2020 - Wiley Online Library
This article introduces a novel error estimator for the proper generalized decomposition
(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

D Goutaudier, L Berthe, F Chinesta - Computer Methods in Applied …, 2021 - Elsevier
Transient wave propagation problems may involve rich discretizations, both in space and in
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 …

Effect of the separated approximation of input data in the accuracy of the resulting PGD solution

S Zlotnik, P Díez, D Gonzalez, E Cueto… - Advanced modeling and …, 2015 - Springer
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 …