5 citations · 17 across the 19 of their papers we have counts for
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A Robin-Robin splitting method for the Stokes-Biot fluid-poroelastic structure interaction model
Aashi Dalal, Rebecca Durst, Annalisa Quaini +1
We develop and analyze a splitting method for fluid-poroelastic structure interaction. The fluid is described using the Stokes equations and the poroelastic structure is described…
Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
Lander Besabe, Michele Girfoglio, Annalisa Quaini +1
The two-layer quasi-geostrophic equations (2QGE) is a simplified model that describes the dynamics of a stratified, wind-driven ocean in terms of potential vorticity and stream fun…
Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework
Nicola Clinco, Michele Girfoglio, Annalisa Quaini +1
We develop, and implement in a Finite Volume environment, a density-based approach for the Euler equations written in conservative form using density, momentum, and total energy as…
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
We propose a regularization for Reduced Order Models (ROMs) of the quasi-geostrophic equations (QGE) to increase accuracy when the Proper Orthogonal Decomposition (POD) modes retai…
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
We present a Large Eddy Simulation (LES) approach based on a nonlinear differential low-pass filter for the simulation of two-dimensional barotropic flows with under-refined meshes…
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
We develop a Proper Orthogonal Decomposition (POD)-Galerkin based Reduced Order Model (ROM) for the efficient numerical simulation of the parametric Navier-Stokes equations in the…