The course is being held on 30 – 31 October 2023 and will feature a number of different topics.
The scientific areas covered in this course will start with Conjugate Heat Transfer (CHT), where traditional Computational Fluid Dynamics (CFD) is coupled to solid heat diffusion. Lagrangian Particle Tracking applied to pollutant dispersion in an indoor environment will be investigated.
Turbulence modelling will be also covered, by looking at advanced modelling through Large-Eddy Simulation (LES) and different types of Reynolds Averaged Navier Stokes (RANS) models. LES is a technique which relies on filtering the Navier-Stokes equations, that was first introduced by Smagorinsky in 1963. It has become much more popular recently because of the computing power increase, even if still not routinely used by industry, for instance. Vast computing power is required because modelling is only carried out at the sub-grid scale level. This aspect of turbulence modelling will be coupled particulate dispersion and deposition, which has profound impacts on human health.
The School will insist on both interlinked aspects between advanced multi-physics modelling and HPC, showing that advanced modelling for some cutting edge applications related to power generation cannot be carried out without HPC capabilities. The School will also look at the impact modern accelerators like GPUs have on the development of scientific software.
To participate in this event, head over to the registration page.