Assessment of Local LES-Resolution Sensors for Hybrid RANS/LES Simulations

  • S. ReußEmail author
  • T. Knopp
  • A. Probst
  • M. Orlt
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 130)


Different sensors that provide a measure for the resolution of the LES content in hybrid RANS/LES computations are proposed and investigated. In an a-priori test on isotropic turbulence a suitable sensor is identified. Based on that sensor an automatic local mesh refinement is performed for an IDDES of the flow over a backward facing step. The results obtained on locally adapted grids are compared to results on globally refined grids. It is shown, that the proposed sensors can detect underresolved LES regions and that the local mesh refinement can help to reduce resolution errors caused by a too coarse grid spacing.


Turbulent Kinetic Energy Refined Grid RANS Model Filter Width Refined Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors gratefully acknowledge the “Deutsche Forschungsgemeinschaft" (German Research Foundation) who funded this work in the scope of the Research Group DFG FOR 1066.


  1. 1.
    Addad, Y., Gaitonde, U., Laurence, Dominique Rolfo, S.: Optimal unstructured meshing for large eddy simulations. In: Meyers, J., Geurts, B.J., Sagaut, P. (eds.) Quality and Reliability of Large-Eddy Simulations, pp. 93–103. Ercoftac Series. Springer, Netherlands (2008)Google Scholar
  2. 2.
    Alrutz, T., Orlt, M.: Parallel dynamic grid refinement for industrial applications. In: Wesseling, P., Oñate, E., Périaux, J. (eds.) Proceedings of ECCOMAS CFD 2006. The Netherlands, TU Delft (2006)Google Scholar
  3. 3.
    Celik, I.B., Cehreli, Z.N., Yavuz, I.: Index of resolution quality for large eddy simulations. J. Fluids Eng. 127(5), 949 (2005)Google Scholar
  4. 4.
    Chauvet, N., Deck, S., Jacquin, L.: Zonal detached eddy simulation of a controlled propulsive jet. AIAA J. 45(10), 2458–2473 (2007)CrossRefGoogle Scholar
  5. 5.
    Chow, F.K., Street, R.L., Xue, M., Ferziger, J.H.: Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow. J. Atmos. Sci. 62, 2058–2077 (2005)Google Scholar
  6. 6.
    Driver, D.M., Seegmiller, H.L., Marvin, J.G.: Time-dependent behavior of a reattaching shear layer. AIAA J. 25(7), 914–919 (1987)CrossRefGoogle Scholar
  7. 7.
    Klein, M.: An attempt to assess the quality of large eddy simulations in the context of implicit filtering. Flow Turbul. Combust. 75(1–4), 131–147 (2005)CrossRefzbMATHGoogle Scholar
  8. 8.
    Knopp, T., Zhang, X., Kessler, R., Lube, G.: Enhancement of an industrial finite-volume code for large-eddy-type simulation of incompressible high Reynolds number flow using near-wall modelling. Comput. Methods Appl. Mech. Eng. 199(13–16), 890–902 (2010)CrossRefzbMATHMathSciNetGoogle Scholar
  9. 9.
    Lilly, D.K.: The representation of small-scale turbulence in numerical simulation experiments. NCAR Manuskript No, 281 (1966)Google Scholar
  10. 10.
    Pope, S.B.: Turbulent Flows. Cambridge University Press, Cambridge (2000)Google Scholar
  11. 11.
    Probst, A. Reuß, S.: Scale-resolving simulations of wall-bounded flows with an unstructured compressible flow solver. In: 5th Symposium on Hybrid RANS-LES Methods TEXAS A&M University, College Station, Houston, USA, 19–21 March 2014Google Scholar
  12. 12.
    Schwamborn, D., Gerhold, T., Heinrich, R.: The DLR TAU-Code: recent applications in reaserach and industry. In: Wesseling, P., Oñate, E., Périaux, J. (eds.) Proceedings of ECCOMAS CFD 2006. TU Delft, The Netherlands (2006)Google Scholar
  13. 13.
    Shur, M.L., Spalart, P.R., Strelets, M.K., Travin, A.K.: A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. Int. J. Heat Fluid Flow 29(6), 1638–1649 (2008)CrossRefGoogle Scholar
  14. 14.
    Stolz, S., Adams, N.A., Kleiser, L.: An approximate deconvolution model for large-eddy simulation with application to incompressible wall-bounded flows. Phys. Fluids 13(4), 997 (2001)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of Aerodynamics and Flow Technology DLR (German Aerospace Center)GöttingenGermany

Personalised recommendations