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Turbulence Modeling a Review for Different Used Methods

Khelifa Hami

2021International Journal of Heat and Technology22 citationsDOIOpen Access PDF

Abstract

This contribution represents a critical view of the advantages and limits of the set of mathematical models of the physical phenomena of turbulence. Turbulence models can be grouped into two categories, depending on how turbulent quantities are calculated: direct numerical simulations (DNS) and RANS (Reynolds Averaged Navier-Stokes Equations) models. The disadvantage of these models is that they require enormous computing power, inaccessible, especially for large and complicated geometries. For this reason, hybrid models (combinations between DNS and RANS methods) have been developed, for example, the LES (“Large Eddy Simulation”) or DES (“Detached Eddy Simulation”) models. They represent a compromise - are less precise than DNS, but more precise than RANS models. The results presented in this contribution will allow and facilitate future research in the field the choice of the model approach necessary for the case studies whatever their difficulty factor.

Topics & Concepts

Reynolds-averaged Navier–Stokes equationsTurbulenceLarge eddy simulationTurbulence modelingDirect numerical simulationStatistical physicsK-epsilon turbulence modelK-omega turbulence modelReynolds stress equation modelComputational fluid dynamicsComputer scienceSet (abstract data type)Applied mathematicsReynolds numberMechanicsPhysicsMathematicsProgramming languageFluid Dynamics and Turbulent Flows
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