PhD in Data-Driven CFD for Dynamic Wall-Turbulence

The research of alternative novel propulsion systems relies on the capability to produce reliable and predictive numerical simulations of such systems including details of the moving parts. In recent years, substantial advancements have been achieved in the fields of Large Eddy Simulation (LES) and Immersed Boundary (IB) modeling techniques, paving the way for accurate predictions of time-dependent flow patterns around complex and dynamic marine structures.

This project is dedicated to the creation of a comprehensive numerical framework, with the primary objective of comprehending and simulating unsteady boundary layers on dynamic geometries. Understanding and modeling unsteady boundary layers on mobile structures is of paramount significance. The novel “Immersed Large Eddy Simulation” (ILES) approach developed will include two main parts: the combination of IB into a CFD solver with a dynamically adaptive grid, and a deep learning model for the closure of the sub-grid-sca...