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Residual based VMS subgrid modeling for vortex flows
Göteborg, Sweden.ORCID-id: 0000-0002-8208-0619
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för matematik och matematisk statistik.
2010 (Engelska)Ingår i: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 199, nr 13-16, s. 802-809Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This paper presents a residual based subgrid modeling approach for Large Eddy Simulations (LES) based on the variational multiscale method as a cure for the problem of preservation of vortices in numerical flow simulation. This approach combines a splitting of the non-linear term in the Navier-Stokes equations into strain and vorticity with a residual based modeling of the subgrid problems. The benefit is that certain driving phenomena, normally not present in subgrid modeling, e.g. vortex stretching, can be seen in the equations. Here, we focus on two of the subgrid terms arising from the subgrid scale problem. The effect of the two terms are illustrated in an LES of a three dimensional flow around a wing where the main feature is the formation and preservation of a tip vortex, an important phenomenon in many aerodynamic and hydrodynamical applications. We see that the addition of the new subgrid terms correctly counteracts the dissipative effect, arising from numerics and turbulence modeling, on the vortex and thus strongly improves prediction of the tip vortex. (C) 2009 Elsevier B.V. All rights reserved.

Ort, förlag, år, upplaga, sidor
Elsevier, 2010. Vol. 199, nr 13-16, s. 802-809
Nyckelord [en]
Finite element, Subgrid modeling, Residual based turbulence modeling, Variational multiscale, Navier-Stokes equations
Nationell ämneskategori
Matematik
Identifikatorer
URN: urn:nbn:se:umu:diva-109590DOI: 10.1016/j.cma.2009.08.004ISI: 000274827400004OAI: oai:DiVA.org:umu-109590DiVA, id: diva2:858437
Tillgänglig från: 2015-10-02 Skapad: 2015-10-01 Senast uppdaterad: 2018-06-07Bibliografiskt granskad

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Bensow, Rickard E.Larson, Mats G

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