Understanding the limits of inf-sup stable galerkin-FEM for incompressible flows

Gert Lube, Daniel Arndt, Helene Dallmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The core of numerical simulations of coupled incompressible flow problems consists of a robust, accurate and fast solver for the time-dependent, incompressible Navier-Stokes equations. We consider inf-sup stable finite element methods with grad-div stabilization and symmetric stabilization of local projection type. The approach is based on a proper scale separation and only the small unresolved scales are modeled. Error estimates for the spatially discretized problem with reasonable growth of the Gronwall constant for large Reynolds numbers are given together with a critical discussion of the choice of stabilization parameters. The fast solution of the fully discretized problems (using BDF(2) in time) is accomplished via unconditionally stable velocity-pressure segregation.

Original languageEnglish
Title of host publicationBoundary and Interior Layers, Computational and Asymptotic Methods, BAIL 2014
EditorsPetr Knobloch
PublisherSpringer Verlag
Pages147-169
Number of pages23
ISBN (Print)9783319257259
DOIs
StatePublished - 2015
Externally publishedYes
EventInternatinal Conference on Boundary and Interior Layers, Computational and Asymptotic Methods, BAIL 2014 - Prague, Czech Republic
Duration: Sep 15 2014Sep 19 2014

Publication series

NameLecture Notes in Computational Science and Engineering
Volume108
ISSN (Print)1439-7358

Conference

ConferenceInternatinal Conference on Boundary and Interior Layers, Computational and Asymptotic Methods, BAIL 2014
Country/TerritoryCzech Republic
CityPrague
Period09/15/1409/19/14

Funding

The work of Daniel Arndt was supported by CRC 963 founded by German research council (DFG). The work of Helene Dallmann was supported by the RTG 1023 founded by German research council (DFG)

FundersFunder number
Deutsche ForschungsgemeinschaftRTG 1023

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