17 citations · 37 across the 7 of their papers we have counts for
7 papers
A time-adaptive algorithm for pressure dominated flows: a heuristic estimator
Ivan Prusak, Davide Torlo, Monica Nonino +1
This work aims to introduce a heuristic timestep-adaptive algorithm for Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) problems where the flow is dominate…
Calibration-Based ALE Model Order Reduction for Hyperbolic Problems with Self-Similar Travelling Discontinuities
Monica Nonino, Davide Torlo
We propose a novel Model Order Reduction framework that is able to handle solutions of hyperbolic problems characterized by multiple travelling discontinuities. By means of an opti…
Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
Ivan Prusak, Davide Torlo, Monica Nonino +1
Using Domain Decomposition (DD) algorithm on non--overlapping domains, we compare couplings of different discretisation models, such as Finite Element (FEM) and Reduced Order (ROM)…
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Francesco Romor, Davide Torlo, Gianluigi Rozza
Friedrichs' systems (FS) are symmetric positive linear systems of first-order partial differential equations (PDEs), which provide a unified framework for describing various ellipt…
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems
Ivan Prusak, Davide Torlo, Monica Nonino +1
In this work, we address parametric non-stationary fluid dynamics problems within a model order reduction setting based on domain decomposition. Starting from the optimisation-base…
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations
Ivan Prusak, Monica Nonino, Davide Torlo +2
The aim of this work is to present a model reduction technique in the framework of optimal control problems for partial differential equations. We combine two approaches used for r…
Model Reduction for Advection Dominated Hyperbolic Problems in an ALE Framework: Offline and Online Phases
Davide Torlo
Model order reduction (MOR) techniques have always struggled in compressing information for advection dominated problems. Their linear nature does not allow to accelerate the slow…