7 papers
General Order Virtual Element Approximation for the Smagorinsky turbulence model
Stefano Berrone, Karol L. Cascavita, Enrique Delgado Ãvila +3
In this paper, we investigate a Smagorinsky model in a virtual element framework to simulate convection-dominated Navier-Stokes equations. We conduct a two-dimensional numerical in…
Stabilization-Free General Order Virtual Element Methods for Neumann Boundary Optimal Control Problems in Saddle Point Formulation
Andrea Borio, Francesca Marcon, Maria Strazzullo
In this work, we explore the application of Stabilization-Free Virtual Element Methods for Neumann boundary Optimal Control Problems in saddle point formulation. The method is prop…
Graph-Instructed Neural Networks for parametric problems with varying boundary conditions
Francesco Della Santa, Sandra Pieraccini, Maria Strazzullo
This work addresses the accurate and efficient simulation of physical phenomena governed by parametric Partial Differential Equations (PDEs) characterized by varying boundary condi…
Reinforcement Learning-Based Filters for Convection-Dominated Flows: Reference-Free and Reference-Guided Training
Anna Ivagnes, Maria Strazzullo, Gianluigi Rozza
We propose a reinforcement learning (RL) framework for the dynamic selection of the filter parameter in Evolve-Filter (EF) regularization strategies for incompressible turbulent fl…
Machine Learning enhanced parametric Reynolds-averaged Navier-Stokes equations at the full- and reduced-order levels
Davide Oberto, Maria Strazzullo, Stefano Berrone
In this contribution, we focus on the Reynolds-averaged Navier-Stokes (RANS) models and their exploitation to build reliable reduced-order models to further accelerate predictions…
Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems
Luca Saluzzi, Maria Strazzullo
This paper addresses the stabilization of dynamical systems in the infinite horizon optimal control setting using nonlinear feedback control based on State-Dependent Riccati Equati…