Speaker
Mr
Saddam N Y Hijazi
(PhD student)
Description
In this work, we present a hybrid approach for the reduction of fluid dynamics flows. The approach proposed is based on mixing the traditional projection Galerkin methods with data-driven techniques. The goal is to reduce complex problems in CFD with special focus on turbulent flows. The data-driven techniques are utilized in approximating certain fluid dynamics variables in the reduced dynamical system which resulted from a Galerkin projection.
Primary authors
Dr
Andrea Mola
(Assistant professor)
Prof.
Gianluigi Rozza
(Full professor)
Mr
Saddam N Y Hijazi
(PhD student)
Dr
Stabile Giovanni
(Postdoc researcher)
