Turbulence and CFD Models.

Aim of the course

The main objective of the course is to give the students a thorough knowledge of turbulence modeling in CFD from the theoretical and practical points of view. During the course, we will cover RANS models and scale-resolving simulations (DES and LES). We will also address accuracy and reliability of CFD turbulent simulations, as well as discretization techniques, solution strategies, and best standard practices when conducting CFD simulations. At the end of the course, the student should be able to choose the best turbulence model for her/his applications and give a critical assessment of the influence of turbulence models on the outcome of CFD simulations, independently of the software used.

Software

During the course, we will use the following software and applications:

• Ansys Fluent student version (version 2020R1 and up) – CFD solver.
• https://www.ansys.com/academic/free-student-products
• Anaconda Python (Python distribution 3.7) – Data analysis (and more).
• https://www.anaconda.com/distribution/
• Paraview (version 5.6 and up; however, I recommend version 5.6) – Scientific visualization
• https://www.paraview.org/

The student should bring her/his computer with all the software installed. All the software to be used is free and can be downloaded at the links provided.

Recommended literature

• D. Wilcox. Turbulence Modeling for CFD. DCW Industries Inc., 2010.
• S. Pope. Turbulent Flows. Cambridge University Press, 2000.
• J. Mathieu and J. Scott. An Introduction to Turbulent Flow. Cambridge University Press, 2000.
• Lars Davidson. Turbulence modeling notes.
• NASA Turbulence Modeling Resources.
• And of course, the documentation of Ansys Fluent (user guide and theory guide).