Random Flow Generation Technique for Civil Aircraft Jet Simulations with the ZDES Approach

Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 117)

Abstract

This paper presents ZDES simulations of jets on industrial configure-tions, taking into account the turbulent flow rate coming from the engine. The strong influence of this turbulent ratio on the jet development has already been demonstrated in previous researches and it has to be taken into account for such realistic simulations. Hence, a turbulent flow generator module for LES-like simulations was first developed and validated. Next, studies on industrial double flux configurations are presented and compared with dedicated experiments. The results show that the ZDES simulations presented are in a very good agreement with measurements and the averaged mean and turbulent results into the jets are properly predicted thanks to the turbulent flow generation technique.

Keywords

Shear Layer Turbulence Level Turbulence Length Scale Attached Boundary Layer Shock Wave Location 
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.

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References

  1. 1.
    Brunet, V., Molton, P., Bézard, H., Deck, S.: Advanced Experimental and Numerical Investigations of an Aircraft Powerplant Configuration. In: 28th AIAA Applied Aerodynamics Conference, AIAA2010-4814, Chicago (2010)Google Scholar
  2. 2.
    Brunet, V., Deck, S.: Zonal-Detached Eddy Simulation of a Civil Aircraft Engine Jet Configuration. In: Peng, S.-H., Doerffer, P., Haase, W. (eds.) Progress in Hybrid RANS-LES Modelling. NNFM, vol. 111, pp. 147–156. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  3. 3.
    Keating, A., Piomelli, U., Balaras, E., Kaltenbach, H.: A Priori and a Posteriori Tests of Inflow Conditions for Large-Eddy Simulation. Phys. Fluid. 16(12), 4696–4712 (2004)CrossRefGoogle Scholar
  4. 4.
    Tabor, G., Baba-Ahmadi: Inlet Conditions for Large Eddy Simulations: A review. Computers and Fluids 36, 553–567 (2010)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Smirnov, A., Shi, S., Celik, I.: Random Flow Generation Technique for Large Eddy Simulations and Particle Dynamics Modeling. Journal of Fluid Engineering 123, 359–371 (2001)CrossRefGoogle Scholar
  6. 6.
    Kraichnan: Diffusion of a Random Velocity Field. Phys. Fluids 11, 22 (1970)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Spalart, P., Allmaras, S.: A One Equation Turbulence Model for Aerodynamic Flows. La Recherche Aérospatiale 1, 5–21 (1994)Google Scholar
  8. 8.
    Spalart, P., Jou, W., Strelets, M., Allmaras, S.: Comments on the Feasibility of LES for Wings and on a Hybrid RANS/LES approach. In: Proceedings of 1st AFSOR Int. Conf. on DES/LES, Ruston, pp. 137–147 (1997)Google Scholar
  9. 9.
    Deck, S.: Zonal-Detached Eddy Simulation of the Flow around a High-Lift Configuration. AIAA J. 43(11), 2372–2384 (2005)CrossRefGoogle Scholar
  10. 10.
    Spalart, P., Deck, S., Shur, M., Squires, K., Strelets, M., Travin, A.: A New Version of Detached-Eddy Simulation, Resistant to Ambiguous Grid Densities. Theoritical and Computational Fluid Dynamics 20, 181–195 (2006)MATHCrossRefGoogle Scholar
  11. 11.
    Deck, S.: Recent Improvements of the Zonal-Detached Eddy Simulation (ZDES) Formulation. Submitted to Theoritical and Computational Fluid Dynamics Journal (2011)Google Scholar
  12. 12.
    Chauvet, N., Deck, S., Jacquin, L.: Detached Eddy Simulation of a Controlled Propulsive Jet. AIAA J. 43(7), 1556–1566Google Scholar
  13. 13.
    Girard, S., Collin, E., Delville, J., Bonnet, J.-P., Benyahia, A., Fourment, C., Lebedev, A., Foulon, H., Braud, P., Royer, A., Laurent, P., Huet, L.: Etude aérodynamique de jets coaxiaux (rapport d’analyse). CEAT – LEA Poitiers, France (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.The French Aerospace LabONERAMeudonFrance

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