With the advent of super computers, we require higher and higher accuracy in the solution of many engineering problems. This has historically, in CFD, mainly been achieved by using a denser and denser grid in combination with a low order discretisation methods. However, to gain a much higher accuracy, for the same computer resources, we could increase the discretisation order while maintaining the grid density.
During the seminar, we will address the advantages of higher order discretisation methods. In addition, we will discuss mimetic or compatible discretisation methods, which are numerical schemes that largely mimic the continuous differential equation. Mimetic and high order discretisation schemes will be discussed individually and combined.
|10:00||Welcome||Bo Gervang, Aarhus University|
|10:10||An introduction to high order and mimetic discretization methods for utilization in CFD||Bo Gervang, Aarhus University|
|11:10||Incorporation of Mimetic methods in CFD||Marc Gerritsma , TU Delft|
|12:30||Mimetic discretization of the NS equations with emphasis on sedimentation transport||Artur Palha - ASML and TU/e|
|13:10||Spectral/hp element, scale resolving modelling for high Reynolds number Road and Race Car Aerodynamics||Spencer Sherwin, Imperial College|
|14:10||Non-intrusive Reduced Order Models for CFD||Jan Hesthaven, EPFL|
|14:50||How to innovate using applied and computational mathematics – on bridging research in modern scientific computing paradigms with industrial applications||Allan Engsig-Karup, DTU|
|15:30||Mimetic methods for diffusion problems||Kennet Olesen, MIIR|
|15:50||Incorporating complex physics in high order codes: reactive and multiphase flows||Ananias Tompoulidis|
|16:30||Closing remarks||Knud Erik Meyer, DANSIS chairman|