52 citations · 202 across the 18 of their papers we have counts for
19 papers
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…
Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows
Anna Ivagnes, Maria Strazzullo, Michele Girfoglio +2
Numerical stabilization techniques are often employed in under-resolved simulations of convection-dominated flows to improve accuracy and mitigate spurious oscillations. Specifical…
Variational Multiscale Evolve and Filter Strategies for Convection-Dominated Flows
Maria Strazzullo, Francesco Ballarin, Traian Iliescu +1
The evolve-filter (EF) model is a filter-based numerical stabilization for under-resolved convection-dominated flows. EF is a simple, modular, and effective strategy for both full-…
New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime
Maria Strazzullo, Francesco Ballarin, Traian Iliescu +1
We propose, analyze, and investigate numerically a novel feedback control strategy for high Reynolds number flows. For both the continuous and the discrete (finite element) setting…
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs
Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza
In this work, we analyze Parametrized Advection-Dominated distributed Optimal Control Problems with random inputs in a Reduced Order Model (ROM) context. All the simulations are in…
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control
Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza
In this paper we will consider distributed Linear-Quadratic Optimal Control Problems dealing with Advection-Diffusion PDEs for high values of the Péclet number. In this situation,…
POD-based reduced order methods for optimal control problems governed by parametric partial differential equation with varying boundary control
Maria Strazzullo, Fabio Vicini
In this work we propose tailored model order reduction for varying boundary optimal control problems governed by parametric partial differential equations. With varying boundary co…
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition
Eleonora Donadini, Maria Strazzullo, Marco Tezzele +1
This work recasts time-dependent optimal control problems governed by partial differential equations in a Dynamic Mode Decomposition with control framework. Indeed, since the numer…
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
Nicola Demo, Maria Strazzullo, Gianluigi Rozza
In this work we propose an extension of physics informed supervised learning strategies to parametric partial differential equations. Indeed, even if the latter are indisputably us…
Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows
Maria Strazzullo, Michele Girfoglio, Francesco Ballarin +2
Numerical stabilization is often used to eliminate (alleviate) the spurious oscillations generally produced by full order models (FOMs) in under-resolved or marginally-resolved sim…
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation
Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza
In this work, we propose to efficiently solve time dependent parametrized optimal control problems governed by parabolic partial differential equations through the certified reduce…
A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences
Giuseppe Carere, Maria Strazzullo, Francesco Ballarin +2
Reduced basis approximations of Optimal Control Problems (OCPs) governed by steady partial differential equations (PDEs) with random parametric inputs are analyzed and constructed.…
Space-time POD-Galerkin approach for parametric flow control
Francesco Ballarin, Gianluigi Rozza, Maria Strazzullo
In this contribution we propose reduced order methods to fast and reliably solve parametrized optimal control problems governed by time dependent nonlinear partial differential equ…
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction
Federico Pichi, Maria Strazzullo, Francesco Ballarin +1
This work deals with optimal control problems as a strategy to drive bifurcating solution of nonlinear parametrized partial differential equations towards a desired branch. Indeed,…
POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations
Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza
In this work we propose reduced order methods as a reliable strategy to efficiently solve parametrized optimal control problems governed by shallow waters equations in a solution t…
Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences
Maria Strazzullo, Zakia Zainib, Francesco Ballarin +1
We introduce reduced order methods as an efficient strategy to solve parametrized non-linear and time dependent optimal flow control problems governed by partial differential equat…
POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation
Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza
In this work we recast parametrized time dependent optimal control problems governed by partial differential equations in a saddle point formulation and we propose reduced order me…
Model Reduction For Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering
Maria Strazzullo, Francesco Ballarin, Renzo Mosetti +1
We propose reduced order methods as a suitable approach to face parametrized optimal control problems governed by partial differential equations, with applications in en- vironment…
FEniCS Application to a Finite Element Quasi-Geostrophic Model. Linear and non-linear analysis of Munk-like Solutions and Data Assimilation Implementation Through Adjoint Method
Maria Strazzullo, Renzo Mosetti
The first aim of this work is to construct a Finite Elements model for quasi-geostrophic equation. This model is analyzed through FEniCS interface. As a second purpose, it shows th…