221 citations · 1.1k across the 59 of their papers we have counts for
11 papers · 1 filter
Data-driven reduced order model for residence time distribution analysis of an industrial-scale continuous casting tundish
Harshith Gowrachari, Mattia Giuseppe Barra, Giovanni Stabile +2
The continuous casting tundish plays a critical role as a metallurgical reactor in the continuous casting process, with its flow characteristics serving as a key parameter in the p…
Reservoir computing based predictive reduced order model for steel grade intermixing in an industrial continuous casting tundish
Harshith Gowrachari, Mattia Giuseppe Barra, Giovanni Stabile +2
Continuous casting is a widely adopted process in the steel industry, where maintaining high steel quality is paramount. Efficient prediction of grade intermixing during ladle chan…
Projection-based model order reduction for residence time distribution analysis of an industrial-scale continuous casting tundish
Harshith Gowrachari, Mattia Giuseppe Barra, Moaad Khamlich +3
The flow behavior in the continuous casting tundish plays a critical role in steel quality and is typically characterized via residence time distribution (RTD) curves. This study i…
A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
Arash Hajisharifi, Rahul Halder, Michele Girfoglio +2
The current study aims to develop a non-intrusive Reduced Order Model (ROM) to reconstruct the full temperature field for a large-scale industrial application based on both numeric…
A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola +1
This study introduces a first step for constructing a hybrid reduced-order models (ROMs) for segregated fluid-structure interaction in an Arbitrary Lagrangian-Eulerian (ALE) approa…
A Reduced Order Model formulation for left atrium flow: an Atrial Fibrillation case
Caterina Balzotti, Pierfrancesco Siena, Michele Girfoglio +5
A data-driven Reduced Order Model (ROM) based on a Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) approach is adopted in this paper for the analysis of blood flo…
Geometrically Parametrised Reduced Order Models for the Study of Hysteresis of the Coanda Effect in Finite Element-based Incompressible Fluid Dynamics
J. R. Bravo, G. Stabile, M. Hess +3
This article presents a general reduced order model (ROM) framework for addressing fluid dynamics problems involving time-dependent geometric parametrisations. The framework integr…
A segregated reduced order model of a pressure-based solver for turbulent compressible flows
Matteo Zancanaro, Valentin Nkana Ngan, Giovanni Stabile +1
This article provides a reduced-order modelling framework for turbulent compressible flows discretized by the use of finite volume approaches. The basic idea behind this work is th…
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
Matteo Zancanaro, Markus Mrosek, Giovanni Stabile +2
Geometrically parametrized Partial Differential Equations are nowadays widely used in many different fields as, for example, shape optimization processes or patient specific surger…
Reduced order models for the incompressible Navier-Stokes equations on collocated grids using a 'discretize-then-project' approach
Sabrina Kelbij Star, Benjamin Sanderse, Giovanni Stabile +2
A novel reduced order model (ROM) for incompressible flows is developed by performing a Galerkin projection based on a fully (space and time) discrete full order model (FOM) formul…
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…