Improvement of CFD-Wind Tunnel Correlation Near Buffet Onset by Using Scale Resolving Simulations

  • M. G. CojocaruEmail author
  • M. Zhong
  • M. L. Niculescu
  • G. L. Wang
  • S. Zheng
  • C. Nae
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 137)


This paper is dedicated to the assessment of turbulence modeling for the aerodynamic study in transonic conditions of a long-haul business jet with a narrow fuselage, slender backswept high aspect ratio wings with fuselage mounted engines. The model of this aircraft was tested in the DNW-HST, one of the pressurized transonic facilities of the German-Dutch Wind tunnels. The CFD results were obtained using the following model: RANS Menter SST k-ω, which is the reference model, Unsteady-RANS (URANS) Menter SST k-ω and Hybrid RANS-LES (HRL) models based on the same SST model. The used hybrid RANS-LES models are: the SAS (Scale Adaptive Simulation) and the SBES model (Stress-Blended Eddy Simulation) based on the WALE model. Another feature that was investigated was the influence of the use of upwind-central reconstruction blending and the use of a dedicated laminar-turbulent transition model. A special attention was paid to properly capture the aerodynamic coefficients at angle-of-attack of 5.5°, corresponding to buffet. The buffet is an unwanted unsteady phenomenon characterized by the interaction of the shock wave and the detached boundary layer formed behind it. The final goal was to find the most economic and robust turbulence model able to capture the aerodynamic coefficients given an acceptable accuracy.



The authors would like to express their gratitude for all the support in writing this paper to the following people: Professor Hua Jun from the CAE and Roy Gebbink from DNW for making available the wind tunnel results for comparison and validation.


  1. 1.
    ***Ansys Fluent, Theory Guide, release 17 (2016)Google Scholar
  2. 2.
    CAE-DNW Workshop on CFD-Wind Tunnel Correlation Study, Beijing, China. (2016)
  3. 3.
    Bartels, R.E., Edwards, J.W.: Cryogenic Tunnel Pressure Measurements on a Supercritical Airfoil for Serveal Shock Buffet Conditions. NASA TM 110272 (1997)Google Scholar
  4. 4.
    Dandois, J., Molton, P., Lepage, A., Geeraert, A., Brunet, V., Dor, J.-B., Coustols, E.: Buffet characterization and control for turbulent wings, aerospace lab. ONERA J. (2013)Google Scholar
  5. 5.
    Hua, J., Zheng, S., Zhong, M., Wang, G., Chu, L., Liu, F., Bai, J.: Design and verification study of an aerodynamic validation modelGoogle Scholar
  6. 6.
    Menter, F.R.: Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32(8), 1598–1605 (1994)Google Scholar
  7. 7.
    Menter, F.R.: Best practice: scale resolving simulations in ansys CFD v2.0 (2015)Google Scholar
  8. 8.
    Menter, F.R., Egorov, Y.: The scale-adaptive simulation method for unsteady turbulent flow predictions. Part 1: theory and model description. J. Flow Turbul. Combust. 85, 113–138 (2010)Google Scholar
  9. 9.
    Rotta, J.C.: Turbulente Strömumgen. BG Teubner Stuttgart (1972)Google Scholar
  10. 10.
    Sartor, F., Timme, S.: Reynolds–averaged Navier–Stokes simulations of shock buffet on half wing–body configuration. In: AIAA Conference (2015)Google Scholar
  11. 11.
    Wilcox, D.C.: Comparison of two-equation turbulence models for boundary layers with pressure gradient. AIAA J. 31(8), 1414–1421 (1993)Google Scholar
  12. 12.
    Xiao, Q., Tsai, H.M., Liu, F.: Numerical study of transonic buffet on a supercritical airfoil. AIAA J. (2006)Google Scholar
  13. 13.
    Xiong, J., Liu, F.: Numerical simulation of transonic buffet on swept wing of supercritical airfoils. In: 43-rd Fluid Dynamics ConferenceGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • M. G. Cojocaru
    • 1
    Email author
  • M. Zhong
    • 2
  • M. L. Niculescu
    • 1
  • G. L. Wang
    • 2
  • S. Zheng
    • 2
  • C. Nae
    • 1
  1. 1.National Institute of Aerospace Research “Elie Carafoli” (INCAS)BucharestRomania
  2. 2.Chinese Aeronautical Establishment (CAE)BeijingChina

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