Computational Fluid Dynamics II

• Statistical turbulence models (k-epsilon, k-omega, SA, Reynolds stress models).
• Large-Eddy Simulation (LES) and hybrid RANS-LES methods (e.g. Detached Eddy Simulation method, DES).
• Semi-empirical theory (logarithmic wall law, Kolmogorov's k-5/3 law for the turbulent energy spectrum).
• Prediction of laminar-turbulent transition.
• Basics of CFD RANS codes
• Use of an industrial flow solver (handling of UNIX/LINUX, programming language C, numerical mathematics)

Mandatory:

•     Fluid Mechanics I

Recommended:

•     Fluid Mechanics II
•     Heat Transfer I
•     Computational Fluid Dynamics I

• P.A. Durbin, B.A. Pettersson Reif: Statistical Theory and Modeling for Turbulent Flows. Wiley.
• Wilcox: Turbulence Modelling for CFD.
• Pope, S.: Turbulent Flows. Cambridge: Cambridge University Press.

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