A Computational Uncertainty Analysis of LES/DNS: towards building a reliable engineering turbulence prediction capability

Conference paper
Part of the ERCOFTAC Series book series (ERCO, volume 16)

Abstract

A computational uncertainty analysis is conducted for turbulence simulation. The major sources of error, the model error and the numerical errors, are analyzed strictly based on the physical nature of turbulence. Through these analyses, a clear technical roadmap is laid out towards building a reliable engineering turbulence simulation capability.

Keywords

Computational Uncertainty Analysis Direct Numerical Simulation Large-eddy Simulation Multi-grid Technique 

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References

  1. 1.
    Xu H. (2009) J. Fluid Mech., 621:23-57 MATHCrossRefADSGoogle Scholar
  2. 2.
    von Karman T. (1930) 3rd Proc. Int. Congr. Appl. Mech. Google Scholar
  3. 3.
    Xu H., Yuan W. and Khalid M. (2005) J. Comp. Phys., 209:504-540 MATHCrossRefADSGoogle Scholar
  4. 4.
    Reynolds O. (1895) Phil. Trans. Roy. Soc. London, A 186:123-164 CrossRefADSGoogle Scholar
  5. 5.
    Kolmogorov A.N. (1942) Izv. Akad. Nauk U.S.S.R. Physics, 6:56-58 Google Scholar
  6. 6.
    Warsi Z. U. A. (1993) CRC Press, 45-50 Google Scholar
  7. 7.
    Wesseling P. (2001) Series in Computational Mathematics, Springer-Verlag Google Scholar
  8. 8.
    Berger M.J. and Oliger J. (1984) J. Comp. Phys., 53, 484 MATHCrossRefMathSciNetADSGoogle Scholar
  9. 9.
    Rogallo R.S. and Moin P. (1984) Ann. Rev. Fluid Mech., 16:99-137 CrossRefADSGoogle Scholar
  10. 10.
    Lund T. S. (1998) J. Comp. Phys., 140:233-258 MATHCrossRefMathSciNetADSGoogle Scholar
  11. 11.
    Lopes A.S. and Palma J.M.L.M. (2002) J. Comp. Phys., 175:713-738 MATHCrossRefADSGoogle Scholar
  12. 12.
    Spalart P.R. (1988) J. Fluid Mech., 187:61-98 MATHCrossRefADSGoogle Scholar
  13. 13.
    Kim J., Moin P. and Moser R. (1987) J. Fluid Mech., 177:133-166 MATHCrossRefADSGoogle Scholar
  14. 14.
    Akselvoll K. and Moin P. (1995) Report TF-63, Dept. of Mech. Eng., Stanford University Google Scholar
  15. 15.
    Xu H., Khalid M., and Pollard A. (2003) Intl. J. Computational Fluid Dynamics, 17(5):339-356 MATHCrossRefADSGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Rotary-Wing Aerodynamics, Aerodynamics LaboratoryInstitute for Aerospace Research, National Research Council CanadaOttawaCanada

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