Pushing High-Fidelity Simulations Towards More Realism, and Building CFD-Ready Turbulence and Heat Flux Closures Using Machine Learning
The seminar will be presented by Prof. Richard D. Sandberg, Chair Professor of Computational Mechanics at the University of Melbourne (Australia).
The presentation will discuss recent advances in high-fidelity CFD simulations and machine-learning-based turbulence modelling for energy and propulsion applications. It will highlight new approaches for developing accurate and interpretable CFD closure models using both simulation and experimental data.
Prof. Sandberg received his PhD in Aerospace Engineering from the University of Arizona in 2004. Before joining the University of Melbourne, he was Professor of Fluid Dynamics and Aeroacoustics at the University of Southampton, where he also led the UK Turbulence Consortium. His research focuses on high-fidelity simulations of transitional and turbulent flows, aeroacoustics, and machine-learning approaches for turbulence modelling. He is currently Director of the Melbourne Energy Institute and was recently elected Fellow of the Australasian Fluid Mechanics Society.
The seminar is open to everyone and will be delivered in English.
(2 MB)