NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Asymptotic behavior of solutions of the renormalization group K-epsilon turbulence modelPresently, the only efficient way to calculate turbulent flows in complex geometries of engineering interest is to use Reynolds-average Navier-Stokes (RANS) equations. As compared to the original Navier-Stokes problem, these RANS equations posses much more complicated nonlinear structure and may exhibit far more complex nonlinear behavior. In certain cases, the asymptotic behavior of such models can be studied analytically which, aside from being an interesting fundamental problem, is important for better understanding of the internal structure of the models as well as to improve their performances. The renormalization group (RNG) K-epsilon turbulence model, derived directly from the incompresible Navier-Stokes equations, is analyzed. It has already been used to calculate a variety of turbulent and transitional flows in complex geometries. For large values of the RNG viscosity parameter, the model may exhibit singular behavior. In the form of the RNG K-epsilon model that avoids the use of explicit wall functions, a = 1, so the RNG viscosity parameter must be smaller than 23.62 to avoid singularities.
Document ID
19950053448
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Yakhot, A.
(Cambridge Hydrodynamics, Inc. Princeton, NJ, United States)
Staroselsky, I.
(Cambridge Hydrodynamics, Inc. Princeton, NJ, United States)
Orszag, S. A.
(Cambridge Hydrodynamics, Inc. Princeton, NJ, United States)
Date Acquired
August 16, 2013
Publication Date
May 1, 1994
Publication Information
Publication: AIAA Journal
Volume: 32
Issue: 5
ISSN: 0001-1452
Subject Category
Fluid Mechanics And Heat Transfer
Accession Number
95A85047
Funding Number(s)
CONTRACT_GRANT: N00014-92-C-0089
CONTRACT_GRANT: NAS3-26702
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available