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

We present the results of the first application in the naval architecture field of a methodology based on active subspaces properties for parameter space reduction. The physical problem considered is the one of the simulation of the hydrodynamic flow past the hull of a ship advancing in calm water....

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Autores principales: Tezzele, Marco, Salmoiraghi, Filippo, Mola, Andrea, Rozza, Gianluigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413890/
https://www.ncbi.nlm.nih.gov/pubmed/30956946
http://dx.doi.org/10.1186/s40323-018-0118-3
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author Tezzele, Marco
Salmoiraghi, Filippo
Mola, Andrea
Rozza, Gianluigi
author_facet Tezzele, Marco
Salmoiraghi, Filippo
Mola, Andrea
Rozza, Gianluigi
author_sort Tezzele, Marco
collection PubMed
description We present the results of the first application in the naval architecture field of a methodology based on active subspaces properties for parameter space reduction. The physical problem considered is the one of the simulation of the hydrodynamic flow past the hull of a ship advancing in calm water. Such problem is extremely relevant at the preliminary stages of the ship design, when several flow simulations are typically carried out by the engineers to assess the dependence of the hull total resistance on the geometrical parameters of the hull, and others related with flows and hull properties. Given the high number of geometric and physical parameters which might affect the total ship drag, the main idea of this work is to employ the active subspaces properties to identify possible lower dimensional structures in the parameter space. Thus, a fully automated procedure has been implemented to produce several small shape perturbations of an original hull CAD geometry, in order to exploit the resulting shapes and to run high fidelity flow simulations with different structural and physical parameters as well, and then collect data for the active subspaces analysis. The free form deformation procedure used to morph the hull shapes, the high fidelity solver based on potential flow theory with fully nonlinear free surface treatment, and the active subspaces analysis tool employed in this work have all been developed and integrated within SISSA mathLab as open source tools. The contribution will also discuss several details of the implementation of such tools, as well as the results of their application to the selected target engineering problem.
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spelling pubmed-64138902019-04-03 Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems Tezzele, Marco Salmoiraghi, Filippo Mola, Andrea Rozza, Gianluigi Adv Model Simul Eng Sci Research Article We present the results of the first application in the naval architecture field of a methodology based on active subspaces properties for parameter space reduction. The physical problem considered is the one of the simulation of the hydrodynamic flow past the hull of a ship advancing in calm water. Such problem is extremely relevant at the preliminary stages of the ship design, when several flow simulations are typically carried out by the engineers to assess the dependence of the hull total resistance on the geometrical parameters of the hull, and others related with flows and hull properties. Given the high number of geometric and physical parameters which might affect the total ship drag, the main idea of this work is to employ the active subspaces properties to identify possible lower dimensional structures in the parameter space. Thus, a fully automated procedure has been implemented to produce several small shape perturbations of an original hull CAD geometry, in order to exploit the resulting shapes and to run high fidelity flow simulations with different structural and physical parameters as well, and then collect data for the active subspaces analysis. The free form deformation procedure used to morph the hull shapes, the high fidelity solver based on potential flow theory with fully nonlinear free surface treatment, and the active subspaces analysis tool employed in this work have all been developed and integrated within SISSA mathLab as open source tools. The contribution will also discuss several details of the implementation of such tools, as well as the results of their application to the selected target engineering problem. Springer International Publishing 2018-09-10 2018 /pmc/articles/PMC6413890/ /pubmed/30956946 http://dx.doi.org/10.1186/s40323-018-0118-3 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Tezzele, Marco
Salmoiraghi, Filippo
Mola, Andrea
Rozza, Gianluigi
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
title Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
title_full Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
title_fullStr Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
title_full_unstemmed Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
title_short Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
title_sort dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413890/
https://www.ncbi.nlm.nih.gov/pubmed/30956946
http://dx.doi.org/10.1186/s40323-018-0118-3
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