2013
DOI: 10.5028/jatm.v5i2.179
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A Study of Physical and Numerical Effects of Dissipation on Turbulent Flow Simulations

Abstract: The present work is primarily concerned with studying the effects of artificial dissipation and of certain diffusive terms in the turbulence model formulation on the capability of representing turbulent boundary layer flows. The flows of interest in the present case are assumed to be adequately represented by the compressible Reynolds-averaged Navier-Stokes equations, and the Spalart-Allmaras eddy viscosity model is used for turbulence closure. The equations are discretized in the context of a general purpose,… Show more

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Cited by 6 publications
(4 citation statements)
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“…For discretizations with moderate polynomial degree, the dissipative nature of the DG method introduced through the approximate Riemann solver‐based flux functions becomes more prominent and may reduce the applicability of such methods for the direct or large eddy simulation of turbulent flows. It is especially the artificial over‐dissipation (or anti‐dissipation in some cases) of the kinetic energy that may have negative impact on the behavior of turbulent flows, see for example . A naive remedy for this problem would be to resort to central numerical flux approximations, but such a DG discretization suffers from severe robustness issues and instabilities, and it is furthermore not clear how the volume terms influence the consistency with respect to the kinetic energy balance.…”
Section: Introductionmentioning
confidence: 99%
“…For discretizations with moderate polynomial degree, the dissipative nature of the DG method introduced through the approximate Riemann solver‐based flux functions becomes more prominent and may reduce the applicability of such methods for the direct or large eddy simulation of turbulent flows. It is especially the artificial over‐dissipation (or anti‐dissipation in some cases) of the kinetic energy that may have negative impact on the behavior of turbulent flows, see for example . A naive remedy for this problem would be to resort to central numerical flux approximations, but such a DG discretization suffers from severe robustness issues and instabilities, and it is furthermore not clear how the volume terms influence the consistency with respect to the kinetic energy balance.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the nature of the present investigation is different from those where the emphasis is concentrated on the more general effects of physical and numerical influences on turbulent flow calculations. Some relevant studies on the more general physical and numerical influences are represented by Launder and Spalding (1974) [8], Gunzburger and Labovsky (2012) [9], Junqueire-Juniot et al (2013) [10], Ahsan (2014) [11],…”
Section: Objectivementioning
confidence: 99%
“…Numerical studies performed in the present work indicated that this flux vector splitting is too dissipative and it can deteriorate the boundary layer profiles (JunqueiraJunior, 2012;Junqueira-Junior et al, 2013;MacCormack and Candler, 1989). Therefore, a pressure switch is implemented to smoothly shift the Steger-Warming scheme into a centered one.…”
Section: Inviscid Flux Calculationmentioning
confidence: 99%
“…Equation (27) applies the term to decrease the value at the faces parallel to the wall inside the boundary layer (Scalabrin, 2007). This artificial dissipation model has shown an important role in the prediction of boundary layer profiles (Junqueira-Junior, 2012;Junqueira-Junior et al, 2013).…”
Section: Inviscid Flux Calculationmentioning
confidence: 99%