Algorithm and solver development

Welcome to the session focused on algorithmic developments for our solvers. Henrik will be discussing his work on incompressible flow simulation. Henrik is a third-year PhD student working on an implicit incompressible solver for more stability with respect to time step size. The motivation behind this work is to conduct industrial simulations of complex geometries, such as parts of a McLaren car for aerodynamic analysis. Henrik will be presenting on a simplified three-dimensional test case of a wing profile to demonstrate the capabilities of the solver.

The main objective is to predict parameters like Lift coefficient efficiently. Traditional simulations take around six to eight seconds in physical time to reach a statistically steady flow state, which can be time-consuming due to high Reynolds numbers. By implementing an implicit scheme that allows for larger time steps, the goal is to accelerate the simulation process and improve performance. The aim is to reach the desired flow state quicker for data sampling and analysis. This approach can potentially reduce the computational cost and time required for simulations of complex geometries.