Contents

- Common variables and terms for characterizing turbulence (energy spectra, energy cascade, etc.)

- An overview of Lagrange analysis methods and experiments in fluid mechanics

- Critical examination of the concept of turbulence and turbulent structures.

-Calculation of the transport of ideal fluid elements and associated analysis methods (absolute and relative diffusion, Lagrangian Coherent Structures, etc.)

- Implementation of a Runge-Kutta 4th-order in Matlab

- Introduction to particle integration using ODE solver from Matlab

- Problems from turbulence research

- Application analytical methods with Matlab.

Structure:

- 14 units a 2x45 min. 

- 10 units lecture

- 4 Units Matlab Exercise- Go through the exercises Matlab, Peer2Peer? Explain solutions to your colleague

Learning goals:

Students receive very specific, in-depth knowledge from modern turbulence research and transport analysis. ? Knowledge

The students learn to classify the acquired knowledge, they study approaches to further develop the knowledge themselves and to relate different data sources to each other. ? Knowledge, skills

The students are trained in the personal competence to independently delve into and research a scientific topic. ? Independence

Matlab exercises in small groups during the lecture and guided Peer2Peer discussion rounds train communication skills in complex situations. The mixture of precise language and intuitive understanding is learnt. ? Knowledge, social competence

Required knowledge:

Fluid mechanics 1 and 2 advantageous

Programming knowledge advantageous