The Role of Grid Generation, HPC and Turbulence Modelling

This seminar will focus on these high-fidelity methods 
and in particular the role of grid design and resolution, 
HPC and the formulation of the approaches themselves. 
Through several presentations from experts representing 
some of the key engineering sectors (automotive, 
aerospace, oil & gas, nuclear), practical examples of 
these methods will be presented offering attendees a 
chance to understand and question if these methods could 
be applied to their simulations.

The major CFD code vendors will also be represented at 
this seminar, allowing attendees to see the full range of 
options open to their company or institution.

With this combination of activities, delegates will leave 
the seminar having a better understanding both of the 
theory behind high-fidelity methods but also industrial 
examples of their real-life use.

For many companies there is a growing desire to improve 
the accuracy of their CFD simulations, in order to 
improve correlation to experiments and to allow more of 
their design to be undertaken in CFD.

This desire for greater accuracy has led many to look 
beyond traditional Reynolds Averaged Navier-Stokes (RANS) 
approaches for turbulence towards Large Eddy Simulation 
(LES). Whilst wall-resolved LES models can in general 
provide a much better alternative to RANS models for 
unsteady flows, they do so at a much higher cost, so much 
higher that for high-Reynolds numbers flow these costs 
are too great for general purpose calculations.  

Hybrid RANS-LES methods offer an attractive alternative 
to wall-resolved LES, where RANS methods are applied in 
regions of the flow which are easy to predict (attached, 
steady flow) and LES methods in the more challenging 
separated regions. These methods, if correctly applied, 
can provide close to LES accuracy for a greatly reduced 
computational cost. However, the accuracy of such 
approaches is heavily associated with the mesh quality & 
resolution, numerical schemes and the availability of HPC 
resources. In addition, since the first use of DES 
(detached eddy simulation) nearly 20 years ago, numerous 
alternative approaches with an array of acronyms (DES, 
DDES, IDDES, ZDES, SAS, WMLES, XLES) have become 
available.  For CFD users wishing to use high-fidelity 
methods, the initial challenge is understanding which 
approach is best suited to their application.

Who Should Attend?

This seminar will be of interest to academics as well as 
practitioners and industrial users of commercial CFD 
codes. The focus of the talks will be on high-fidelity 
methods such as pure LES and hybrid RANS-LES methods (e.g 
DES, SAS, PANS), but people with a general interest in 
the application of CFD to complex real-life problems will 
also benefit from attending this seminar.