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  4. An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems
 
research article

An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

Maday, Yvon
•
Manzoni, Andrea  
•
Quarteroni, Alfio  
2016
Comptes Rendus Mathematique

We propose a new, black-box online stabilization strategy for reduced basis (RB) approximations of parameter-dependent advection-diffusion problems in the advection-dominated case. Our goal is to stabilize the RB problem irrespectively of the stabilization (if any) operated on the high-fidelity (e.g., finite element) approximation, provided a set of stable RB functions have been computed. Inspired by the spectral vanishing viscosity method, our approach relies on the transformation of the basis functions into modal basis, then on the addition of a vanishing viscosity term over the high RB modes, and on a rectification stage - prompted by the spectral filtering technique-to further enhance the accuracy of the RB approximation. Numerical results dealing with an advection-dominated problem parametrized with respect to the diffusion coefficient show the accuracy of the RB solution on the whole parametric range. (C) 2016 Published by Elsevier Masson SAS on behalf of Academie des sciences. This is an open access article under the CC BY-NC-ND license.

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Type
research article
DOI
10.1016/j.crma.2016.10.008
Web of Science ID

WOS:000388361300006

Author(s)
Maday, Yvon
Manzoni, Andrea  
Quarteroni, Alfio  
Date Issued

2016

Publisher

Elsevier France-Editions Scientifiques Medicales Elsevier

Published in
Comptes Rendus Mathematique
Volume

354

Issue

12

Start page

1188

End page

1194

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CMCS  
Available on Infoscience
January 24, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/133589
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