The industry has started to introduce time-dependent
numerical simulation such 
as large eddy simulation (LES), unsteady RANS or hybrid
approaches such as DES 
in their development process. The advantage of these
techniques is much higher 
accuracy of the prediction compared with steady RANS
simulations but also 
possibility to replace costly physical testing and simulate
flow situations where 
experiments are difficult or impossible. Although most
commercial (and open 
source) CFD software have option to run unsteady methods,
their usage requires 
knowledge in running unsteady simulations which puts
different requirements 
than steady RANS on all steps of the process. Being
resolving techniques, these 
techniques put higher requirements on all steps in the
project, from the quality 
of the computational grids, numerical discretization,
performing the CFD 
simulation to analysis of large amount of data obtained from
a time-dependent 
simulation.

This aim of this course is to equip an engineer or
researcher with the knowledge 
to run unsteady CFD simulations for the application of his
interest. After the 
course, the participant will be able to:

- choose the adequate unsteady technique

- prepare computational grid for that is required for the
chosen technique

- chose appropriate spatial and temporal discretization and
other parameters in 
the simulation

- run the simulation and do appropriate monitoring of the
results

- postprocessor the results and evaluate the quality of the
achieved prediction

We will start with introduction in how time-dependent
techniques such as Large-
Eddy Simulations (LES), Detached-Eddy Simulations (DES),
Partially-Averaged 
Navies-Stokes (PANS) and unsteady RANS (URANS) can be used
in vehicle 
aerodynamics. We will discuss differences between these
techniques and give 
best practical guidelines for usage of each technique. We
will show when each of 
the techniques could/should be used and how to use it.

We believe that the course is useful for engineers and
researcher in all industrial 
sectors where unsteady flows are of importance. The
practical example that we 
will study during the course come from vehicle aerodynamics
and bluff body 
aerodynamics but the method is by no means limited to these
two fields. The 
same methodology can be used in many other industrial fields
where separated 
and unsteady flows occur.

The course will cover three important applications of CFD
techniques in industry: 
prediction using unsteady CFD simulations (LES, DES, PANS,
URANS), CFD for flow 
control and aerodynamic shape optimization.