openHSU logo
  • English
  • Deutsch
  • Log In
  • Communities & Collections
  1. Home
  2. Helmut-Schmidt-University / University of the Federal Armed Forces Hamburg
  3. Publications
  4. 3 - Publication references (without full text)
  5. Anisotropy invariant reynolds stress model of turbulence (airsm) and its application to attached and separated wall-Bounded flows
 
Options
Show all metadata fields

Anisotropy invariant reynolds stress model of turbulence (airsm) and its application to attached and separated wall-Bounded flows

Publication date
2009
Document type
Research article
Author
Kumar, Virat vijay
Frohnapfel, Bettina
Jovanović, Jovan
Breuer, Michael 
Zuo, W.
Hadzić, I.
Lechner, R.
Organisational unit
Strömungsmechanik 
DOI
10.1007/s10494-008-9190-y
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/9156
Scopus ID
2-s2.0-67349154397
ISSN
1386-6184
Series or journal
Flow, turbulence and combustion : an international journal published in association with ERCOFTAC
Periodical volume
83
Periodical issue
1
First page
81
Last page
103
Part of the university bibliography
✅
  • Additional Information
Abstract
Numerical predictions with a differential Reynolds stress closure, which in its original formulation explicitly takes into account possible states of turbulence on the anisotropy-invariant map, are presented. Thus the influence of anisotropy of turbulence on the modeled terms in the governing equations for the Reynolds stresses is accounted for directly. The anisotropy invariant Reynolds stress model (AIRSM) is implemented and validated in different finite-volume codes. The standard wall-function approach is employed as initial step in order to predict simple and complex wall-bounded flows undergoing large separation. Despite the use of simple wall functions, the model performed satisfactory in predicting these flows. The predictions of the AIRSM were also compared with existing Reynolds stress models and it was found that the present model results in improved convergence compared with other models. Numerical issues involved in the implementation and application of the model are also addressed. © 2008 Springer Science+Business Media B.V.
Version
Not applicable (or unknown)
Access right on openHSU
Metadata only access

  • Cookie settings
  • Privacy policy
  • Send Feedback
  • Imprint