8 papers
MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility
Nicola Giuliani, Martin W. Hess, Antonio DeSimone +1
In the study of micro-swimmers, both artificial and biological ones, many-query problems arise naturally. Even with the use of advanced high performance computing (HPC), it is not…
A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step
Kelbij Star, Giovanni Stabile, Gianluigi Rozza +1
A Finite-Volume based POD-Galerkin reduced order modeling strategy for steady-state Reynolds averaged Navier--Stokes (RANS) simulation is extended for low-Prandtl number flow. The…
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…
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"…
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…
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…