5 papers · 1 filter
Enhancing the accuracy of under-resolved numerical simulations of atmospheric flows with super resolution
Armin Sheidani, Michele Girfoglio, Annalisa Quaini +1
Super-resolution (SR) techniques based on deep learning have recently emerged as a promising approach to enhance the spatial resolution of computational fluid dynamics simulations…
A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
Arash Hajisharifi, Rahul Halder, Michele Girfoglio +2
The current study aims to develop a non-intrusive Reduced Order Model (ROM) to reconstruct the full temperature field for a large-scale industrial application based on both numeric…
On the choice of proper outlet boundary conditions for numerical simulation of cardiovascular flows
Zahra Mirzaiyan, Michele Girfoglio, Gianluigi Rozza
It is well known that in the computational fluid dynamics simulations related to the cardiovascular system the enforcement of outflow boundary conditions is a crucial point. In fac…
Stabilized POD Reduced Order Models for convection-dominated incompressible flows
Pierfrancesco Siena, Michele Girfoglio, Annalisa Quaini +1
We present a comparative computational study of two stabilized Reduced Order Models (ROMs) for the simulation of convection-dominated incompressible flow (Reynolds number of the or…
A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
We consider three conservative forms of the mildly compressible Euler equations, called CE1, CE2 and CE3, with the goal of understanding which leads to the most accurate and robust…