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Grey-Area Mitigation Using Commutation Terms at the Interfaces in Hybrid RANS-LES Modeling

  • Sebastian ArvidsonEmail author
  • Lars Davidson
  • Shia-Hui Peng
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 137)

Abstract

With the aim to mitigate the grey area at the RANS-LES interface, the effect of commutation terms is investigated. Simulations of fully developed channel flow and spatially developing boundary layer flow are presented using the commutation terms at the RANS-LES interfaces. The commutation terms are added as source terms in the k, \(\omega \) and momentum equations of a zonal RANS-LES model. It is concluded that as an inlet in embedded LES of the developing boundary layer flow, the use of the proposed commutation terms are needed for the LES simulated flow to accurately predict the skin friction. However, it is demonstrated for flows where the RANS-LES interface aligns with the mean flow direction that the effect of the proposed interface methodology is weak.

Notes

Acknowledgements

This work has been funded by the Swedish Governmental Agency for Innovation Systems (VINNOVA), the Swedish Defence Materiel Administration (FMV) and the Swedish Armed Forces within the National Aviation Engineering Research Programme (NFFP, Contract No. 2013-01209) and Saab Aeronautics. The simulations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre (NSC).

References

  1. 1.
    Arvidson, S., Davidson, L., Peng, S.-H.: Hybrid RANS-LES modeling using a low-Reynolds-number \(k-\omega \) based model. AIAA paper 2014-0225 (2014)Google Scholar
  2. 2.
    Arvidson, S., Davidson, L., Peng, S-H.: Hybrid Reynolds-averaged NavierStokes/large-eddy simulation modeling based on a low-Reynolds-number \(k-\omega \) model. AIAA J. 54, 12 (2016)Google Scholar
  3. 3.
    Chauvet, N., Deck, S., Jaquin, L.: Zonal detached eddy simualtion of a controlled propulsive jet. AIAA J. 45 (2007)Google Scholar
  4. 4.
    Davidson, L.: Two-equation hybrid RANS-LES models: a novel way to treat \(k\) and \(\omega \) at inlets and at embedded interfaces. J. Turbul. 18, 4 (2017)Google Scholar
  5. 5.
    Davidson, L.: Zonal PANS: evaluation of different treatments of the RANS-LES interface. J. Turbul. 17, 3 (2016)Google Scholar
  6. 6.
    Davidson, L., Peng, S.-H.: Hybrid LES-RANS modelling: a one-equation SGS model combined with a \(k-\omega \) model for predicting recirculating flows. Int. J. Numer. Meth. Fluids 43 (2003)Google Scholar
  7. 7.
    Hamba, F.: Analysis of filtered Navier-Stokes equation for hybrid RANS/LES simulation. Phys. Fluids 23 (2011)Google Scholar
  8. 8.
    Peng, S.-H., Davidson, L., Holmberg, S.: A modified low-Reynolds-Number \(k-\omega \) model for recirculating flows. J. Fluids Eng. 119 (1997)Google Scholar
  9. 9.
    Schlatter, P., Örlü, R.: Assessment of direct numerical simulation data of turbulent boundary layers. J. Fluid Mech. 659 (2010)Google Scholar
  10. 10.
    Shur, K.L., Spalart, P.R., Strelets, M.Kh., Travin, A.K.: A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. Int. J. Heat Fluid Flow 29 (2008)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Sebastian Arvidson
    • 1
    • 2
    Email author
  • Lars Davidson
    • 1
  • Shia-Hui Peng
    • 1
    • 3
  1. 1.Division of fluid dynamics, Dept. of Mechanics and Maritime SciencesChalmers University of TechnologyGothenburgSweden
  2. 2.Saab AeronauticsLinköpingSweden
  3. 3.Swedish Defence Research Agency (FOI)StockholmSweden

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