Digital Teaching
In the summer semester of 2022, we will strive for regular classroom courses, but this will ultimately depend on the (short-term) requirements of the authorities in response to the pandemic.

As an additional service, we will also offer electronic material for self-study during regular face-to-face courses.

Please be sure to register for the corresponding Moodle course as well. All current information and learning materials will be posted in Moodle.

 

Lehrinhalte
Origin of turbulence and introduction of stability theory;
introduction to turbulence and its statistical description;
Reynolds decomposition, filtering and averaging the basic equations;
correlation equations (one- and multi point);
isotropic turbulence and the Karman-Howarth equation;
turbulent decay; turbulent length-scales;
Kolmogorov theory; energy spectrum;
deeper investigations of isotropic turbulence (Intermittency);
turbulent wall bounded flows;
boundary and turbulent scaling laws;
free shear flows;
detached turbulent flows.

Literature
Pope: Turbulent Flows, Cambridge Universtity press 2000

Official Course Description
Learning Outcomes  

On successful completion of this module, students should be able to:

1. know the the regularities for the statistic description of turbulence, based on the Navier-Stokes equations.

2. express basic definitions for turbulent parameters such as length and time scales.

3. explain the deduction of the Kolmogorov theory and turbulent energy spectra as well as extensions for higher correlations

4. explain the deduction of the two- and multi-point correlation ecquations

5. distinguish a multiplicity of classical flow forms e.g. near-wall or free turbulent flows and to outline these flows under specification of the respective scale laws

6. know the modelling concepts of the different RANS concepts, to distinguish them on the basis of their dis- and advantages and to outline and clarify the main modelling concepts.

7. describe the substantial ideas of the Large Eddy Simulation on the basis of equations, to show advantages as well as carry out a delimitation of the RANS models.

8. delimit the possibilities and limitations of all calculation methods.

Online-Angebote
moodle

Semester: ST 2022