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Subgrid Scale Modeling and Statistical Theories in Three-Dimensional Turbulence

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Theoretical Approaches to Turbulence

Part of the book series: Applied Mathematical Sciences ((AMS,volume 58))

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Abstract

Statistical theories of turbulence can be used to derive subgrid scale (SGS) modeling for large eddy simulations (LES) of homogeneous turbulence. Well-suited to pseudo-spectral numerical codes, they are also of interest to better understand eddy-viscosity concepts without reference to any particuliar method of field computations.

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References

  1. Kerr, R.M., “Kolmogorov and scalar spectral regimes in numerical turbulence”, NASA Ames Res. Center (1983).

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  2. Kraichnan, R.H., “Eddy viscosity in two and three dimensions”, J. Atmos. Sci., 33, (1976), 1521.

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  3. Chollet, J.P., “Statistical closure to derive a subgrid-scale modeling for large eddy simulations of three-dimensional turbulence”, NCAR technical, TN-206 + STR, (1983).

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  4. Chollet, J.P., “Two-point closures used for a subgrid scale model in large eddy simulations”,to be published in Turbulent Shear Flows IV, Springer-Verlag, (1983).

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  5. Herring, J.R., D. Schertzer, M. Lesieur, G.R. Newman, J.P. Chollet and M. Larcheveque, “A comparative assessment of spectral closures as applied to passive scalar diffusion”,J. Fluid Mech., 124 (1982), 411.

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  6. Chollet, J.P. and M. Lesieur, “Parametrization of small scales of three-dimensional isotropic turbulence utilizing spectral closures”,J. Atmos. Sci., 38, (1981), 2747.

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Authors
  1. Jean-Pierre Chollet
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Editors and Affiliations

  1. NASA Langley Research Center, ICASE, Hampton, Virginia, 23665, USA

    D. L. Dwoyer , M. Y. Hussaini  & R. G. Voigt ,  & 

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© 1985 Springer Science+Business Media New York

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Chollet, JP. (1985). Subgrid Scale Modeling and Statistical Theories in Three-Dimensional Turbulence. In: Dwoyer, D.L., Hussaini, M.Y., Voigt, R.G. (eds) Theoretical Approaches to Turbulence. Applied Mathematical Sciences, vol 58. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1092-4_16

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  • DOI: https://doi.org/10.1007/978-1-4612-1092-4_16

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96191-0

  • Online ISBN: 978-1-4612-1092-4

  • eBook Packages: Springer Book Archive

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