Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows
 
research article

An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows

Manzoni, Andrea  
2014
ESAIM: Mathematical Modelling and Numerical Analysis

We present the current Reduced Basis framework for the efficient numerical approximation of parametrized steady Navier-Stokes equations. We have extended the existing setting developed in the last decade (see e.g. [S. Deparis, SIAM J. Numer. Anal. 46 (2008) 2039-2067; A. Quarteroni and G. Rozza, Numer. Methods Partial Differ. Equ. 23 (2007) 923-948; K. Veroy and A.T. Patera, Int. J. Numer. Methods Fluids 47 (2005) 773-788]) to more general affine and nonaffine parametrizations (such as volume-based techniques), to a simultaneous velocity-pressure error estimates and to a fully decoupled Offline/Online procedure in order to speedup the solution of the reduced-order problem. This is particularly suitable for real-time and many-query contexts, which are both part of our final goal. Furthermore, we present an efficient numerical implementation for treating nonlinear advection terms in a convenient way. A residual-based a posteriori error estimation with respect to a truth, full-order Finite Element approximation is provided for joint pressure/velocity errors, according to the Brezzi-Rappaz-Raviart stability theory. To do this, we take advantage of an extension of the Successive Constraint Method for the estimation of stability factors and of a suitable fixed-point algorithm for the approximation of Sobolev embedding constants. Finally, we present some numerical test cases, in order to show both the approximation properties and the computational efficiency of the derived framework. © 2014 EDP Sciences, SMAI .

  • Details
  • Metrics
Type
research article
DOI
10.1051/m2an/2014013
Author(s)
Manzoni, Andrea  
Date Issued

2014

Published in
ESAIM: Mathematical Modelling and Numerical Analysis
Volume

48

Start page

1199

End page

1226

Subjects

Reduced Basis Method

•

Parametrized Navier-Stokes equations

•

Steady incompressible fluids

•

A posteriori error estimation

•

Approximation stability

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
CMCS  
Available on Infoscience
June 29, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/126891
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés