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

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Showing 2024Show all

10 papers · 1 filter

math.NA20241 cited

Stochastic Parameter Prediction in Cardiovascular Problems

Kabir Bakhshaei, Sajad Salavatidezfouli, Giovanni Stabile +1

Patient-specific modeling of cardiovascular flows with high-fidelity is challenging due to its dependence on accurately estimated velocity boundary profiles, which are essential fo…

math.NA20241 cited

Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems

Moaad Khamlich, Federico Pichi, Michele Girfoglio +2

We present a novel reduced-order Model (ROM) that leverages optimal transport (OT) theory and displacement interpolation to enhance the representation of nonlinear dynamics in comp…

physics.flu-dyn2024

A data-driven study on Implicit LES using a spectral difference method

Nicola Clinco, Niccolò Tonicello, Gianluigi Rozza

In this paper, we introduce a data-driven filter to analyze the relationship between Implicit Large-Eddy Simulations (ILES) and Direct Numerical Simulations (DNS) in the context of…

math.NA2024

Data-driven parameterization refinement for the structural optimization of cruise ship hulls

Lorenzo Fabris, Marco Tezzele, Ciro Busiello +2

In this work, we focus on the early design phase of cruise ship hulls, where the designers are tasked with ensuring the structural resilience of the ship against extreme waves whil…

math.NA2024

Jacobi convolution series for Petrov-Galerkin scheme and general fractional calculus of arbitrary order over finite interval

Pavan Pranjivan Mehta, Gianluigi Rozza

Recently, general fractional calculus was introduced by Kochubei (2011) and Luchko (2021) as a further generalisation of fractional calculus, where the derivative and integral oper…

math.NA2024

Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows

Surabhi Rathore, Pasquale Claudio Africa, Francesco Ballarin +3

This paper presents a projection-based reduced order modelling (ROM) framework for unsteady parametrized optimal control problems (OCPs) arising from cardiovascular (CV) ap…