Blog
About

  • Record: found
  • Abstract: found
  • Poster: found
Is Open Access

A Reduced Basis Technique for Long-Time Unsteady Turbulent Flows

1 , *

ScienceOpen Posters

ScienceOpen

model Order Reduction, turbulent flows

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      For turbulent flows, estimation of the entire solution trajectory through a low-dimensional Reduced Order Model might be unfeasible due to the slow convergence of the Kolmogorov N-width, and due to the sensitivity of the dynamical system to perturbations.

      Nevertheless, it might still be possible to estimate the time-averaged solution and associated quantities of interest.

      In this poster, we propose a Reduced-Basis technique for the estimation of long-time-averaged solutions of parametrized turbulent flows. The key elements of our approach are (i) a Greedy technique for the construction of a low-dimensional reduced space, and (ii) a constrained POD-Galerkin formulation of the reduced solution.

      The Greedy technique relies on a novel residual indicator for the error in the long-time-averaged solution.

      We present a number of numerical examples to illustrate our approach, and to demonstrate the effectivity of the error indicator.

      Related collections

      Author and article information

      Affiliations
      [1 ]Laboratoire Jacques-Louis Lions, UPMC
      [* ]Correspondence: taddei@ 123456ljll.math.upmc.fr
      Journal
      ScienceOpen Posters
      ScienceOpen
      27 April 2018
      10.14293/P2199-8442.1.SOP-MATH.ZDVWFH.v1
      Copyright © 2018

      This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

      ScienceOpen disciplines:
      Keywords:

      Comments

      Comment on this article