activity
20182026
most citedHull shape design optimization with parameter space and model reductions, and self-learning mesh morphing

48 citations · 67 across the 35 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

math.NA2019

A novel iterative penalty method to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamics problems

S. Kelbij Star, Giovanni Stabile, Francesco Belloni +2

A Finite-Volume based POD-Galerkin reduced order model is developed for fluid dynamics problems where the (time-dependent) boundary conditions are controlled using two different bo…

math.NA2019

A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Reduced order modeling (ROM) provides an efficient framework to compute solutions of parametric problems. Basically, it exploits a set of precomputed high-fidelity solutions --- co…

math.NA2019

A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations

Efthymios N. Karatzas, Giovanni Stabile, Leo Nouveau +2

We investigate a projection-based reduced-order model of the steady incompressible Navier-Stokes equations for moderate Reynolds numbers. In particular, we construct an "embedded"…

math.NA2019

A Reduced Order Modeling technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation

Federico Pichi, Annalisa Quaini, Gianluigi Rozza

We propose a computationally efficient framework to treat nonlinear partial differential equations having bifurcating solutions as one or more physical control parameters are varie…

math.NA2019

A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems

Sokratia Georgaka, Giovanni Stabile, Kelbij Star +2

A parametric, hybrid reduced order model approach based on the Proper Orthogonal Decomposition with both Galerkin projection and interpolation based on Radial Basis Functions metho…

math.NA2019

Efficient Geometrical parametrization for Finite-Volume based Reduced Order Methods

Giovanni Stabile, Matteo Zancanaro, Gianluigi Rozza

In this work, we present an approach for the efficient treatment of parametrized geometries in the context of POD-Galerkin reduced order methods based on Finite Volume full order a…