Computational Fluid Dynamics (CFD) is required in many
industrial applications including external and internal
aerodynamics, heat transfer, combustion, aeroacoustics,
renewable energy systems etc. It is therefore, if not
more, at least equally important as experimental Fluid
Dynamics. Direct Numerical Simulation (DNS) for high
Reynolds number flows is highly time consuming and only
possible for relatively simple geometries. There are many
existing turbulence modelling techniques which allow a
significant reduction in this computational cost. However,
different models can provide very different results for the
same problem. The appropriate choice of a turbulence model,
thus requires a deep enough understanding, significant
experience and computational skills in the field of
turbulence modelling. The course will address the analysis
of modern approaches to turbulence modelling in light of the
ever in- creasing High Performance Computing (HPC)
facilities and their applications to the solution of
industrial problems.

The course consists of two parts: theoretical course on
advanced CFD approaches and tutorials with open-source
Code_Saturne for solving the Navier-Stokes equations. The
main focus of the first part will be on Direct and Large
Eddy simulations for turbulent flows, artificial boundary
conditions and best practice guideline for CFD.

The second (practical) part of the course will make use of
the Science & Technology Facilities Council (STFC) Daresbury
Laboratory super computers. This part is devoted to learning
how to use the open- source CFD solver Code_Saturne, which
is developed by EDF R&D for solving the Navier-Stokes
equations. Code_Saturne is a co-located finite volume solver
handling any type of mesh, structured or un- structured. It
includes a large range of RANS/LES models with additional
modules for compressible flows, combustion, radiative heat
transfer, magneto-hydrodynamics, two-phase flows and
atmospheric flows. Through various projects, STFC Daresbury
Laboratory have tested Code_Saturne's HPC capabilities. They
also have excellent training and HPC facilities; the Hartree
Centre currently hosts 19th fastest supercomputers in the
world (Top500 supercomputers, Nov 2013).

The course is delivered by the academic staff from the
School of Mechanical, Aerospace and Civil Engineering
(MACE), The University of Manchester and experienced
researchers from STFC Daresbury Laboratory. The School of
MACE is a world-class Centre in CFD with the long term
experience in the development of turbulence models and their
implementation to the solution of real-life industrial problems.


Learning Objectives:

Main objectives are the following:
-fundamentals of Direct and Large Eddy simulations
-industrial applications
-Inlet and artificial boundary conditions for LES/DNS
-best practice guidelines for CFD