Mixed finite element methods with convection stabilization for the large eddy simulation of incompressible turbulent flows

Altres autors/es

Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Universitat Politècnica de Catalunya. Departament de Mecànica de Fluids

Centre Internacional de Mètodes Numèrics en Enginyeria

Universitat Politècnica de Catalunya. ANiComp - Anàlisi numèrica i computació científica

Data de publicació

2016-06

Resum

The variational multiscale method thought as an implicit large eddy simulation model for turbulent flows has been shown to be an alternative to the widely used physical-based models. This method is traditionally combined with equal-order velocity–pressure pairs, since it provides pressure stabilization. In this work, we consider a different approach, based on inf–sup stable elements and convection-only stabilization. In order to do so, we consider a symmetric projection stabilization of the convective term using an orthogonal subscale decomposition. The accuracy and efficiency of this method compared with residual-based algebraic subgrid scales and orthogonal subscales methods for equal-order interpolation is assessed in this paper. Moreover, when inf–sup stable elements are used, the grad–div stabilization term has been shown to be essential to guarantee accurate solutions. Hence, a study of the influence of such term in the large eddy simulation of turbulent incompressible flows is also performed. Furthermore, a recursive block preconditioning strategy has been considered for the resolution of the problem with an implicit treatment of the projection terms. Two different benchmark tests have been solved: the Taylor–Green Vortex flow with Re=1600Re=1600, and the Turbulent Channel Flow at Ret=395Ret=395 and Ret=590Ret=590.


Peer Reviewed


Postprint (author's final draft)

Tipus de document

Article

Llengua

Anglès

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http://www.sciencedirect.com/science/article/pii/S0045782516300561

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Drets

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

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