Search Results for author: Andrea Mola

Found 7 papers, 6 papers with code

Enhancing CFD predictions in shape design problems by model and parameter space reduction

1 code implementation15 Jan 2020 Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza

In this work we present an advanced computational pipeline for the approximation and prediction of the lift coefficient of a parametrized airfoil profile.

Numerical Analysis Numerical Analysis

Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design

1 code implementation15 May 2019 Andrea Mola, Marco Tezzele, Mahmoud Gadalla, Federica Valdenazzi, Davide Grassi, Roberta Padovan, Gianluigi Rozza

AS analysis has also been used to carry out a constrained optimization exploiting response surface method in the reduced parameter space, and a sensitivity analysis based on such surrogate model.

Computational Engineering, Finance, and Science Numerical Analysis

A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems

1 code implementation15 May 2019 Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza

Mandatory ingredient for the ROM methods is the relation between the high-fidelity solutions and the parameters.

Numerical Analysis

An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics

2 code implementations29 Oct 2018 Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza

In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied mathematics, as emerging technology for product and/or process design procedures.

Numerical Analysis

Model Order Reduction by means of Active Subspaces and Dynamic Mode Decomposition for Parametric Hull Shape Design Hydrodynamics

no code implementations20 Mar 2018 Marco Tezzele, Nicola Demo, Mahmoud Gadalla, Andrea Mola, Gianluigi Rozza

We present the results of the application of a parameter space reduction methodology based on active subspaces (AS) to the hull hydrodynamic design problem.

Numerical Analysis

An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment

1 code implementation19 Jan 2018 Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza

To this end, a fully automated procedure has been implemented to produce several small shape perturbations of an original hull CAD geometry which are then used to carry out high-fidelity flow simulations and collect data for the active subspaces analysis.

Numerical Analysis

Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems

1 code implementation11 Sep 2017 Marco Tezzele, Filippo Salmoiraghi, Andrea Mola, Gianluigi Rozza

We present the results of the first application in the naval architecture field of a methodology based on active subspaces properties for parameters space reduction.

Numerical Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.