Skip to main content
SpringerLink
Log in
Book cover

Quality and Reliability of Large-Eddy Simulations II pp 339–349Cite as

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

  • Conference paper

  • 1519 Accesses

Part of the book series: ERCOFTAC 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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Xu H. (2009) J. Fluid Mech., 621:23-57

    Article  MATH  ADS  Google Scholar 

  2. von Karman T. (1930) 3rd Proc. Int. Congr. Appl. Mech.

    Google Scholar 

  3. Xu H., Yuan W. and Khalid M. (2005) J. Comp. Phys., 209:504-540

    Article  MATH  ADS  Google Scholar 

  4. Reynolds O. (1895) Phil. Trans. Roy. Soc. London, A 186:123-164

    Article  ADS  Google Scholar 

  5. Kolmogorov A.N. (1942) Izv. Akad. Nauk U.S.S.R. Physics, 6:56-58

    Google Scholar 

  6. Warsi Z. U. A. (1993) CRC Press, 45-50

    Google Scholar 

  7. Wesseling P. (2001) Series in Computational Mathematics, Springer-Verlag

    Google Scholar 

  8. Berger M.J. and Oliger J. (1984) J. Comp. Phys., 53, 484

    Article  MATH  MathSciNet  ADS  Google Scholar 

  9. Rogallo R.S. and Moin P. (1984) Ann. Rev. Fluid Mech., 16:99-137

    Article  ADS  Google Scholar 

  10. Lund T. S. (1998) J. Comp. Phys., 140:233-258

    Article  MATH  MathSciNet  ADS  Google Scholar 

  11. Lopes A.S. and Palma J.M.L.M. (2002) J. Comp. Phys., 175:713-738

    Article  MATH  ADS  Google Scholar 

  12. Spalart P.R. (1988) J. Fluid Mech., 187:61-98

    Article  MATH  ADS  Google Scholar 

  13. Kim J., Moin P. and Moser R. (1987) J. Fluid Mech., 177:133-166

    Article  MATH  ADS  Google Scholar 

  14. Akselvoll K. and Moin P. (1995) Report TF-63, Dept. of Mech. Eng., Stanford University

    Google Scholar 

  15. Xu H., Khalid M., and Pollard A. (2003) Intl. J. Computational Fluid Dynamics, 17(5):339-356

    Article  MATH  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Rotary-Wing Aerodynamics, Aerodynamics Laboratory, Institute for Aerospace Research, National Research Council Canada, Ottawa, Canada

    Hongyi Xu

Authors
  1. Hongyi Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hongyi Xu .

Editor information

Editors and Affiliations

  1. University of Pisa, Via G. Caruso 8, Pisa, 56122, Italy

    Maria Vittoria Salvetti

  2. Fac. Mathematical Sciences, University of Twente, Enschede, 7522 NB, Netherlands

    Bernard Geurts

  3. Div. Appl. Mechanics & Energy Conversion, Katholieke Universiteit Leuven, Celestijnenlaan 300A, Leuven, 3001, Belgium

    Johan Meyers

  4. Université Pierre et Marie Curie 6, place Jussieu - case 162 4, Paris cedex 5, 75252, France

    Pierre Sagaut

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this paper

Cite this paper

Xu, H. (2011). A Computational Uncertainty Analysis of LES/DNS: towards building a reliable engineering turbulence prediction capability. In: Salvetti, M., Geurts, B., Meyers, J., Sagaut, P. (eds) Quality and Reliability of Large-Eddy Simulations II. ERCOFTAC Series, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0231-8_31

Download citation

Publish with us

Policies and ethics

Search

Navigation