221 citations · 1.1k across the 59 of their papers we have counts for
4 papers · 1 filter
Reduced order models for the incompressible Navier-Stokes equations on collocated grids using a 'discretize-then-project' approach
Sabrina Kelbij Star, Benjamin Sanderse, Giovanni Stabile +2
A novel reduced order model (ROM) for incompressible flows is developed by performing a Galerkin projection based on a fully (space and time) discrete full order model (FOM) formul…
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis
Mahmoud Gadalla, Marta Cianferra, Marco Tezzele +3
In this work, Dynamic Mode Decomposition (DMD) and Proper Orthogonal Decomposition (POD) methodologies are applied to hydroacoustic dataset computed using Large Eddy Simulation (LE…
A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step
Kelbij Star, Giovanni Stabile, Gianluigi Rozza +1
A Finite-Volume based POD-Galerkin reduced order modeling strategy for steady-state Reynolds averaged Navier--Stokes (RANS) simulation is extended for low-Prandtl number flow. The…
Enhancing CFD predictions in shape design problems by model and parameter space reduction
Marco Tezzele, Nicola Demo, Giovanni Stabile +2
In this work we present an advanced computational pipeline for the approximation and prediction of the lift coefficient of a parametrized airfoil profile. The non-intrusive reduced…