62 citations · 140 across the 40 of their papers we have counts for
7 papers · 2 filters
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine
Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile +1
In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wake characteristics, in this paper we present high-fidelity CFD simulations of the flow around an exemplary H-shap…
Deep learning-based reduced-order methods for fast transient dynamics
Martina Cracco, Giovanni Stabile, Andrea Lario +5
In recent years, large-scale numerical simulations played an essential role in estimating the effects of explosion events in urban environments, for the purpose of ensuring the sec…
Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds
Umberto Emil Morelli, Patricia Barral, Peregrina Quintela +2
In this work, we investigate the estimation of the transient mold-slab heat flux in continuous casting molds given some thermocouples measurements in the mold plates. Mathematicall…
Hybrid Data-Driven Closure Strategies for Reduced Order Modeling
Anna Ivagnes, Giovanni Stabile, Andrea Mola +2
In this paper, we propose hybrid data-driven ROM closures for fluid flows. These new ROM closures combine two fundamentally different strategies: (i) purely data-driven ROM closure…
Pressure Data-Driven Variational Multiscale Reduced Order Models
Anna Ivagnes, Giovanni Stabile, Andrea Mola +2
In this paper, we develop data-driven closure/correction terms to increase the pressure and velocity accuracy of reduced order models (ROMs) for fluid flows. Specifically, we propo…
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Non-affine parametric dependencies, nonlinearities and advection-dominated regimes of the model of interest can result in a slow Kolmogorov n-width decay, which precludes the reali…