Open AccessTurbulence Modeling a Review for Different Used Methods
Author(s) -
Khelifa Hami
Publication year - 2021
Publication title -
heat and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 29
ISSN - 0392-8764
DOI - 10.18280/ijht.390125
Subject(s) - reynolds averaged navier–stokes equations , turbulence , large eddy simulation , turbulence modeling , direct numerical simulation , statistical physics , k epsilon turbulence model , k omega turbulence model , reynolds stress equation model , computational fluid dynamics , computer science , set (abstract data type) , mathematics , reynolds number , mechanics , physics , programming language
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.