Abstract
This work describes the numerical solution of compressible turbulent flows. Turbulent flows are modeled by the system of averaged Navier-Stokes equations closed by the Explicit Algebraic Reynolds Stress Model (EARSM) of turbulence. EARSM model used in this work is based on the Kok’s TNT model equations. New set of model constants which is more suitable for conjunction with EARSM model has been derived. Recalibrated model of turbulence together with the system of averaged Navier-Stokes equations is then discretized by the finite volume method and used for the solution of some realistic problems in external and internal aerodynamics.
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References
J.H. Ferziger, M. Peric, Computational Methods for Fluid Dynamics (Springer, Berlin/ New York, 1999)
A. Hellsten, New two-equation turbulence model for aerodynamics applications, Report A-21, Helsinki University of Technology, 2004
J. Holman, Numerical solution of compressible turbulent flows in external and internal aerodynamics, Diploma thesis CTU in Prague, 2007 (in czech)
J.C. Kok, Resolving the dependence on freestream values for k −ω turbulence model. AIAA J. 38(7), 1292–1295 (2000)
S. Wallin, Engineering turbulence modeling for CFD with focus on explicit algebraic Reynoldes stress models, Ph.D. thesis, Royal Institute of Technology, 2000
D.C. Wilcox, Turbulence Modeling for CFD, 2nd edn. (DWC Industries, La Cãnada, 1994)
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Holman, J., Fürst, J. (2015). Numerical Simulation of Compressible Turbulent Flows Using Modified EARSM Model. In: Abdulle, A., Deparis, S., Kressner, D., Nobile, F., Picasso, M. (eds) Numerical Mathematics and Advanced Applications - ENUMATH 2013. Lecture Notes in Computational Science and Engineering, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-319-10705-9_67
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DOI: https://doi.org/10.1007/978-3-319-10705-9_67
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