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ANear-Wall Eddy-Viscosity Formulation for LES

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Complex Effects in Large Eddy Simulations

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 56))

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Abstract

A near-wall eddy-viscosity formulation for LES is presented. This formulation consists of imposing a RANS eddy-viscosity dynamically corrected with the resolved turbulent stress in the near-wall region. The RANS eddy-viscosity is obtained from an averaged velocity profile of a resolved LES of channel flow at Reτ = 395 and stored in a look-up table. Results are presented for channel flow at Reτ = 395 with no-slip boundary conditions, and up to Reτ = 1, 000, 000 using a wall model.

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References

  1. J.S. Baggett, J. Jimenez, and A.G. Kravchenko. Resolution requirements in large-eddy simulation of shear flows. CTR Annual Research Briefs, 51–66, 1997.

    Google Scholar 

  2. U. Schumann. Subgrid scale model for finite difference simulations of turbulent flows in plane channels and annuli. J. Comp. Phys. 18, 376–404, 1975.

    Article  MATH  Google Scholar 

  3. U. Piomelli, J. Ferziger, P. Moin, and J. Kim. New approximate boundary conditions for large eddy simulations of wall bounded flows. Phys. Fluids A (1), 1061–1068, 1989.

    Google Scholar 

  4. M. Wang and P. Moin. Dynamic wall modeling for large-eddy simulation of complex turbulent flows. Phys. Fluids 14(7), 2043–2051, 2002.

    Article  Google Scholar 

  5. F. Nicoud, J.S. Baggett, P. Moin, and W. Cabot. LES wall-modeling based on suboptimal control theory and linear stochastic estimation. Phys. Fluids 13(10), 2968–2984, 2001.

    Article  Google Scholar 

  6. W. Cabot. Wall models in large eddy simulation of separated flow. CTR Annual Research Briefs, 97–106, 1997.

    Google Scholar 

  7. N.V. Nikitin, F. Nicoud, B. Wasistho, K.D. Squires, and P.R. Spalart. An approach to wall modelling in large-eddy simulations. Phys. Fluids. Letters 12(7), 1629, 2000.

    Article  Google Scholar 

  8. P. Sagaut. Large Eddy Simulation for Incompressible Flows. Springer, Berlin, 2002.

    MATH  Google Scholar 

  9. G. Kalitzin, G. Medic, G. Iaccarino, and P.A. Durbin. Near-wall behavior of RANS turbulence models and implications for wall functions. J. Comp. Physics 204(1), 265–291, 2005.

    Article  MATH  Google Scholar 

  10. M. Germano, U. Piomelli, P. Moin, and W. Cabot. A dynamic subgridscale eddy-viscosity model. Phys. Fluids A (3), 1760–1765, 1991.

    Google Scholar 

  11. J.A. Templeton. Wall Models for Large-Eddy Simulation based on Optimal Control Theory. PhD thesis, Stanford University, Stanford, 2005.

    Google Scholar 

  12. R.D. Moser, J. Kim, and N.N. Mansour. Direct numerical simulation of turbulent channel flow up to Reô = 590. Phys. Fluids 11(4), 943–945, 1999.

    Article  Google Scholar 

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Kalitzin, G., Templeton, J.A., Medic, G. (2007). ANear-Wall Eddy-Viscosity Formulation for LES. In: Kassinos, S.C., Langer, C.A., Iaccarino, G., Moin, P. (eds) Complex Effects in Large Eddy Simulations. Lecture Notes in Computational Science and Engineering, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34234-2_10

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