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On PANS-ζ-f Model Assessment by Reference to Car Aerodynamics

  • S. JakirlicEmail author
  • L. Kutej
  • B. Basara
  • C. Tropea
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 143)

Abstract

The present work discusses the predictive capabilities of the PANS model of turbulence (Partially-Averaged Navier Stokes; Basara et al. [4], representing a hybrid RANS/LES (Reynolds-Averaged Navier-Stokes/Large Eddy Simulation) modelling scheme, by means of simulating the flow past different car configurations including also overtaking maneuver cases. The unresolved residual turbulence is modelled by an appropriately adapted RANS-ζ-f formulation (proposed originally by Hanjalic et al. [9]). The investigated car configurations include a 40% down-scaled BMW model [17] as well as the so-called “DrivAer” car model [10]. As outcome of an intensive computational campaign by employing the PANS-ζ-f model formulation detailed mean flow and turbulence fields are obtained illustrating the model’s predictive capabilities in capturing unsteady features and corresponding time-averaged flow properties in a wide range of car configurations considered.

References

  1. 1.
    AVL AST: AVL FIRE Manual v2011, AVL List GmbH (2011)Google Scholar
  2. 2.
    Ashton, N., Unterlechner, P., Blacha, T.: Assessing the sensitivity of hybrid RANS-LES simulations to mesh resolution, numerical schemes and turbulence modelling within an industrial CFD process. SAE Technical Paper, 2018-01-0709 (2018)Google Scholar
  3. 3.
    Basara, B.: An eddy viscosity transport model based on elliptic relaxation approach. AIAA J. 44, 1686–1690 (2006)CrossRefGoogle Scholar
  4. 4.
    Basara, B., Krajnovic, S., Girimaji, S., Pavlovic, Z.: Near-Wall Formulation of the Partially Averaged Navier-Stokes Turbulence Model. AIAA J. 49(12), 2627–2636 (2011)CrossRefGoogle Scholar
  5. 5.
    Chang, C.-Y., Jakirlić, S., Basara, B., Tropea, C.: Predictive capability assessment of the PANS-ζ-fmodel of turbulence. Part I: physical rationale by reference to wall-bounded flows including separation (pp. 371–383) and Part II: application to swirling and tumble/mean-compression flows (pp. 385–398). In: Girimaji, S., et al. (eds.) Advances in Hybrid RANS-LES Modelling 5. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 130. Springer. ISBN 978-3-319-15140-3 (2015)Google Scholar
  6. 6.
    Frank, T., Gerlicher, B., Abanto, J.: DrivAer—Aerodynamic Investigations for a New Realistic Generic Car Model using ANSYS CFD. Automotive Simulation World Congress, October. Frankfurt, Germany (2013)Google Scholar
  7. 7.
    Gaylard, A., Oettle, N., Gargoloff, J., Duncan, B.: Evaluation of non-uniform upstream flow effects on vehicle aerodynamics. SAE Int. J. Passeng. Cars—Mech. Syst. 7(2), 692–702 (2014)Google Scholar
  8. 8.
    Guilmineau, E.: Numerical simulations of flow around a realistic generic car model. SAE Int. J. Passeng. Cars – Mech. Syst. 7(2), 646–653 (2014)Google Scholar
  9. 9.
    Hanjalic, K., Popovac, M., Hadziabdic, M.: A robust near-wall elliptic-relaxation eddy-viscosity turbulence model for CFD. Int. J. Heat and Fluid Flow 25, 1047–1051 (2004)CrossRefGoogle Scholar
  10. 10.
    Heft, A., Indinger, T., Adams, N.: Introduction of a new realistic generic car model for aerodynamic investigations. SAE Technical Paper, 2012-01-0168 (2012)Google Scholar
  11. 11.
    Jakirlić, S., Kutej, L., Basara, B., Tropea, C.: Computational study of the aerodynamics of a realistic car model by means of RANS and hybrid RANS/LES approaches. SAE Int. J. Passeng. Cars—Mech. Syst. 7(2), 559–574 (2014)Google Scholar
  12. 12.
    Jakirlić, S., Kutej, L., Hanssmann, D., Basara, B. Tropea, C.: Eddy-resolving simulations of the Notchback DrivAer model: influence of underbody geometry and wheels rotation on aerodynamic behaviour. SAE Technical Paper Series 2016-01-1062 (2016)Google Scholar
  13. 13.
    Jakirlić, S., Kutej, L., Hanssmann, D., Basara, B., Schütz, T., Tropea, C.: Rear-end shape influence on the aerodynamic properties of a realistic car model: a RANS and LES/RANS study. In: Dillmann et al. (eds.) New Results in Numerical and Experimental Fluid Mechanics X. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vo1. 32, pp. 397–407. Springer. ISBN: 978-3-319-27279-5 (2016)Google Scholar
  14. 14.
    Jakirlić, S., Kutej, L., Unterlechner, P., Tropea, C.: Critical assessment of some popular scale-resolving turbulence models for vehicle aerodynamics. SAE Int. J. Passeng. Cars – Mech. Syst. V126-6EJ 10(1), 235–250 (2017)Google Scholar
  15. 15.
    Jakirlić, S., Kutej, L., Basara, B., Tropea, C.: Scale-resolving simulation of an ‘on-road’ overtaking maneuver involving model vehicles. SAE Technical Paper Series 2018-01-0706 (2018)Google Scholar
  16. 16.
    Popovac, M., Hanjalic, K.: Compound wall treatment for RANS computation of complex turbulent flows and heat transfer. Flow Turbul. Combust. 78, 177–202 (2007)Google Scholar
  17. 17.
    Schreffl, M.: Instationäre Aerodynamik von Kraftfahrzeugen - Aerodynamik bei Überholvorgang und böigem Seitenwind. Ph.D. Thesis, Technische Universität Darmstadt, Germany, Shaker Verlag Aachen. ISBN 978-3-8322-7010-0 (2008)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Fluid Mechanics and Aerodynamics/Center of Smart Interfaces, Technische Universität DarmstadtDarmstadtGermany
  2. 2.Advanced Simulation Technology, AVL List GmbHGrazAustria

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