Many practical problems require high accuracy of prediction,
taking into account different physical effects and coupling
different models. The course will address some modern
techniques in CFD and their applications to the solution of
industrial problems. They target to resolve an inevitable
trade-off between the accuracy of prediction and
effectiveness of mathematical modelling. The course consists
of two parts: theoretical course on advanced CFD methods and
tutorials with open-source “Code_Saturne” for solving the
Navier-Stokes equations. The main focus of the first part
will be on high-resolution finite-volume methods for
convection dominated problems, fluid-structure interaction
methods, artificial boundary conditions, resolution of
uncertainties, Lattice Boltzmann Method and Smooth Particle
Hydrodynamics (SPH).
 
The second (practical) part of the course will be held at
the Hartree Centre, on the campus of the Science &
Technology Facilities Council (STFC) Daresbury Laboratory.
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. This is a very
successful course which has been running every year since
2012. It is delivered by the academic staff of the
University of Manchester and researchers from STFC. This
year there will also be a guest lecture from Dr. V. Titarev
from Dorodnicyn Computing Centre of Russian Academy of
Sciences, Moscow Institute of Physics & Technology . The
School of MACE is a world-class centre in CFD with long term
experience in the development of turbulence models and their
implementation to the solution of real-world industrial
problems.
 
Learning Objectives:
• Principal approaches to turbulence modelling
• Fluid-structure interaction methods
• Lattice Boltzmann Method
• Immersed boundary methods
• Smooth Particle Hydrodynamics (SPH)
• Artificial boundary conditions 
• Uncertainties in CFD modelling
• Best practice guidelines for CFD