Giorgio Santanatoglia
Thesis Title
gsantanatogl@student.unimelb.edu.au
Research overview
High-fidelity (Hi-Fi) simulations are predominantly used in academy, while low-cost hybrid methods are in industry. The first ones require stringent mesh requirement both in the acoustic source region and up to the far-field. While the second resolve only the turbulent flow in the vicinity of the source region, by typically solving steady RANS equations, and rely on separate methods (thus hybrid) based on an acoustic analogy.
The aim of the PhD is to reduce the gap between the two methods in the domain of noise prediction by applying resolvent analysis and validation to ML-enabled RANS.
Supervisors
Qualifications
M.Eng. Aerospace Engineering, Politecnico di Torino, Italy (2023)
B.Eng. Aerospace Engineering, Politecnico di Torino, Italy (2017)