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On unified boundary conditions for improved predictions of near-wall turbulence

Published online by Cambridge University Press:  01 July 2010

S. JAKIRLIĆ*
Affiliation:
Institute of Fluid Mechanics and Aerodynamics, Technische Universität Darmstadt, Petersenstrasse 30, D-64287 Darmstadt, Germany Center of Smart Interfaces, Technische Universität Darmstadt, Petersenstrasse 32, D-64287 Darmstadt, Germany
J. JOVANOVIĆ
Affiliation:
Institute of Fluid Mechanics, Friedrich-Alexander University of Erlangen-Nuremberg, Cauerstrasse 4, D-91058 Erlangen, Germany Center of Smart Interfaces, Technische Universität Darmstadt, Petersenstrasse 32, D-64287 Darmstadt, Germany
*
Email address for correspondence: s.jakirlic@sla.tu-darmstadt.de

Abstract

A novel formulation of the wall boundary conditions relying on the asymptotic behaviour of the Taylor microscale λ and its relationship to the homogeneous part of the viscous dissipation rate of the kinetic energy of turbulence εh =5νq22, applicable to near-wall turbulence, is examined. The linear dependence of λ on the wall distance in close proximity to the solid surface enables the wall-closest grid node to be positioned immediately below the edge of the viscous sublayer, leading to a substantial coarsening of the grid resolution. This approach provides bridging of a major portion of the viscous sublayer, higher grid flexibility and weaker sensitivity against the grid non-uniformities in the near-wall region. The performance of the proposed formulation was checked against available direct numerical simulation databases of complex wall-bounded flows featured by swirl and separation.

Type
Papers
Copyright
Copyright © Cambridge University Press 2010

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References

REFERENCES

Bradshaw, P. 1978 Turbulence – Introduction. In Topics in Applied Physics: Turbulence (ed. Bradshaw, P.), vol. 12, pp. 144. Springer.Google Scholar
Chou, P. Y. 1945 On the velocity correlation and the solution of the equation of turbulent fluctuations. Q. Appl. Math. 3, 3854.Google Scholar
Craft, T. J., Gant, S. E., Iacovides, H. & Launder, B. E. 2004 A new wall function strategy for complex turbulent flows. Numer. Heat Transfer, Part B: Fundam. 45 (4), 301318.Google Scholar
Esch, T. & Menter, R. F. 2003 Heat transfer predictions based on two-equation turbulence models with advanced wall treatment. In Turbulence, Heat and Mass Transfer (ed. Hanjalic, K., Nagano, Y. & Tummers, M.), vol. 4, pp. 633640. Begell House Inc.Google Scholar
Hoyas, S. & Jimenez, J. 2006 Scaling of the velocity fluctuations in turbulent channels up to Re τ = 2003. Phys. Fluids 18, 011702.Google Scholar
Jakirlić, S. & Hanjalić, K. 2002 A new approach to modeling near-wall turbulence energy and stress dissipation. J. Fluid Mech. 539, 139166.CrossRefGoogle Scholar
Jovanović, J. 2004 The Statistical Dynamics of Turbulence. Springer.Google Scholar
Jovanović, J., Ye, Q.-Y. & Durst, F. 1995 Statistical interpretation of the turbulent dissipation rate in wall-bounded flows. J. Fluid Mech. 293, 321347.CrossRefGoogle Scholar
Jović, S. & Driver, D. 1995 Reynolds number effect on the skin friction in separated flows behind a backward-facing step. Exp. Fluids 18, 464467.Google Scholar
Launder, B. E. & Spalding, D. B. 1974 The numerical computation of turbulent flows. Comput. Methods Appl. Mech. Engng 3, 269289.Google Scholar
Le, H., Moin, P. & Kim, J. 1997 Direct numerical simulation of turbulent flow over a backward-facing step. J. Fluid Mech. 330, 349374.CrossRefGoogle Scholar
Moser, R. D., Kim, J. & Mansour, N. N. 1999 Direct numerical simulation of turbulent channel flow up to Re τ = 590. Phys. Fluids 11, 943945.Google Scholar
Orlandi, P. & Ebstein, D. 2000 Turbulent budgets in rotating pipe by DNS. Intl J. Heat Fluid Flow 21, 499505.Google Scholar
Popovac, M. & Hanjalić, K. 2007 Compound wall treatment for RANS computation of complex turbulent flows and heat transfer. Flow Turbul. Combust. 78, 177202.Google Scholar
Tanahashi, M., Kang, S.-J., Miyamoto, S., Shiokawa, S., & Miyauchi, T. 2004 Scaling law of fine scale eddies in turbulent channel flows up to Re τ = 800. Intl J. Heat Fluid Flow 25, 331340.Google Scholar
Taylor, G. I. 1935 Statistical theory of turbulence. Proc. R. Soc. A 151, 421478.Google Scholar