Advertisement

Assessment and Comparison of a Recent Kinematic Sensitive Subgrid Length Scale in Hybrid RANS-LES

  • A. Pont-VílchezEmail author
  • F. X. Trias
  • A. Revell
  • A. Oliva
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 143)

Abstract

A recent kinematic sensitive subgrid length scale, \(\varDelta _{lsq}\), initially developed for LES applications, is now considered for DES. Even though it is presented as a subgrid length scale, instead of a grey area mitigation (GAM) technique, this initial study shows how it could also be a good and natural approach for addressing this well-known DES shortcoming. In this paper, the \(\varDelta _{lsq}\) has been compared with a well-known kinematic sensitive length scale, \({\tilde{\varDelta }_{\omega }}\). It includes a mesh resilience and a shear layer delay study with a Decaying Homogeneous Isotropic Turbulence configuration and two Backward Facing Step configurations, respectively. Encouraging results have been obtained, indicating \(\varDelta _{lsq}\) as a subgrid length scale to be considered.

Keywords

Hybrid RANS-LES Gray Area Mitigation Subgrid Length Scale 

Notes

Acknowledgements

This work has been financially supported by the Ministerio de Economía y Competitividad, Spain (No. ENE2017-88697-R). A.P.V. is supported by a FI-DGR 2016 predoctoral contract (No. 2018FI_B2_00072) financed by Generalitat de Catalunya, Spain. F.X.T. is supported by a Ramón y Cajal postdoctoral Contract (No. RYC-2012-11996) financed by the Ministerio de Economía y Competitividad, Spain.

References

  1. 1.
    Guseva, E.K., Garbaruk, A.V., Strelets, M.K.: Assessment of delayed DES and improved delayed DES combined with a shear-layer-adapted subgrid length-scale in separated flows. Flow, Turbul. Combust. 98(2) (2017)Google Scholar
  2. 2.
    Mockett, C., Fuchs, M., Garbaruk, A., Shur, M., Spalart, P., Strelets, M., Thiele, F., Travin, A.: Two Non-zonal Approaches to Accelerate RANS to LES Transition of Free Shear Layers in DES. In: Girimaji, S., Haase, W., Peng, S.H., Schwamborn, D. (eds.) Progress in Hybrid RANS-LES Modelling, pp. 187–201. Springer International Publishing, Cham (2015)Google Scholar
  3. 3.
    Pont-Vílchez, A., Trias, F.X., Gorobets, A., Oliva, A.: Direct numerical simulation of backward-facing step flow at \(Re_{\tau }=395\) and expansion ratio 2. J. Fluid Mech. 863, 341–363 (2019)Google Scholar
  4. 4.
    Shur, M.L., Spalart, P.R., Strelets, M.K., Travin, A.K.: An enhanced version of DES with rapid transition from RANS to LES in separated flows. Flow, Turbul. Combust. 95(4) (2015)Google Scholar
  5. 5.
    Spalart, P., Shur, M., Strelets, M., Travin, A.: Sensitivity of landing-gear noise predictions by Large-Eddy Simulation to numerics and resolution. In: 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. January, 1–20 (2012)Google Scholar
  6. 6.
    Spalart, P.R., Deck, S., Shur, M.L., Squires, K.D., Strelets, M.K., Travin, A.: A new version of detached-eddy simulation, resistant to ambiguous grid densities. Theor. Comput. Fluid Dyn. 20(3), 181–195 (2006)CrossRefGoogle Scholar
  7. 7.
    Spalart, P.R., Jou, W.H., Strelets, M., Allmaras, S.: Comments on the Feasibility of LES for Wings, and on a Hybrid RANS/LES Approach (1997)Google Scholar
  8. 8.
    Trias, F., Gorobets, A., Oliva, A.: A new subgrid characteristic length for large-eddy simulation. Phys. Fluids 115109 (2017)Google Scholar
  9. 9.
    Vogel, J.C., Eaton, J.K.: Combined heat transfer and fluid dynamic measurements downstream of a backward-facing step 107 (1985)Google Scholar
  10. 10.
    Wray, A.: Unpublished DNS data. Available on AGARD database: Test Cases for the Validation of Large- Eddy Simulations of Turbulent Flows (1997). ftp://torroja.dmt.upm.es

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • A. Pont-Vílchez
    • 1
    Email author
  • F. X. Trias
    • 1
  • A. Revell
    • 2
  • A. Oliva
    • 1
  1. 1.Heat and Mass Transfer Technological Center (CTTC)Universitat Politècnica de Catalunya-BarcelonaTech (UPC)BarcelonaSpain
  2. 2.School of MACEUniversity of ManchesterManchesterUK

Personalised recommendations