Journal article 358 views
Parametric solutions involving geometry: A step towards efficient shape optimization
Computer Methods in Applied Mechanics and Engineering, Volume: 268, Pages: 178 - 193
Swansea University Author: Antonio Huerta Cerezuela
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DOI (Published version): 10.1016/j.cma.2013.09.003
Abstract
In simulation-based engineering sciences geometry is usually data. Every time a new geometry is tested, the complete analysis is repeated: pre-process, solve and post-process. This is a major overhead in engineering design. This paper is the first contribution where the parameters defining the geome...
Published in: | Computer Methods in Applied Mechanics and Engineering |
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2014
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URI: | https://cronfa.swan.ac.uk/Record/cronfa20037 |
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2015-02-01T19:51:58.3706533 v2 20037 2015-01-22 Parametric solutions involving geometry: A step towards efficient shape optimization d87796289609bf34dd174c27e41a05d6 Antonio Huerta Cerezuela Antonio Huerta Cerezuela true false 2015-01-22 In simulation-based engineering sciences geometry is usually data. Every time a new geometry is tested, the complete analysis is repeated: pre-process, solve and post-process. This is a major overhead in engineering design. This paper is the first contribution where the parameters defining the geometry are seen as coordinates and, consequently, a high-dimensional problem is solved to obtain a generalized solution: the temperature field, for instance, is known at any point in space and for any value of the parameters describing the physical domain. To overcome the "curse of dimensionality" the Proper Generalized Decomposition is employed. The generalized solution is obtained on the fly, sensitivities to parameters variations are also evaluated analytically and consequently the applicability of this approach to classical optimization or multi criteria optimization is demonstrated on academic examples.As a result of this research A. Huerta has been invited to give a plenary talk in Japan and the Forschung Fahrzeugtechnik VOLKSWAGEN (the joint research centre of the Volkswagen group) is funding a project to reduce design cycle costs for automotive aerodynamics. Journal Article Computer Methods in Applied Mechanics and Engineering 268 178 193 1 1 2014 2014-01-01 10.1016/j.cma.2013.09.003 COLLEGE NANME COLLEGE CODE Swansea University 2015-02-01T19:51:58.3706533 2015-01-22T09:44:20.2307744 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Amine Ammar 1 Antonio Huerta 2 Francisco Chinesta 3 Elías Cueto 4 Adrien Leygue 5 Antonio Huerta Cerezuela 6 |
title |
Parametric solutions involving geometry: A step towards efficient shape optimization |
spellingShingle |
Parametric solutions involving geometry: A step towards efficient shape optimization Antonio Huerta Cerezuela |
title_short |
Parametric solutions involving geometry: A step towards efficient shape optimization |
title_full |
Parametric solutions involving geometry: A step towards efficient shape optimization |
title_fullStr |
Parametric solutions involving geometry: A step towards efficient shape optimization |
title_full_unstemmed |
Parametric solutions involving geometry: A step towards efficient shape optimization |
title_sort |
Parametric solutions involving geometry: A step towards efficient shape optimization |
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d87796289609bf34dd174c27e41a05d6 |
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d87796289609bf34dd174c27e41a05d6_***_Antonio Huerta Cerezuela |
author |
Antonio Huerta Cerezuela |
author2 |
Amine Ammar Antonio Huerta Francisco Chinesta Elías Cueto Adrien Leygue Antonio Huerta Cerezuela |
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Computer Methods in Applied Mechanics and Engineering |
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268 |
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2014 |
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Swansea University |
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10.1016/j.cma.2013.09.003 |
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Faculty of Science and Engineering |
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description |
In simulation-based engineering sciences geometry is usually data. Every time a new geometry is tested, the complete analysis is repeated: pre-process, solve and post-process. This is a major overhead in engineering design. This paper is the first contribution where the parameters defining the geometry are seen as coordinates and, consequently, a high-dimensional problem is solved to obtain a generalized solution: the temperature field, for instance, is known at any point in space and for any value of the parameters describing the physical domain. To overcome the "curse of dimensionality" the Proper Generalized Decomposition is employed. The generalized solution is obtained on the fly, sensitivities to parameters variations are also evaluated analytically and consequently the applicability of this approach to classical optimization or multi criteria optimization is demonstrated on academic examples.As a result of this research A. Huerta has been invited to give a plenary talk in Japan and the Forschung Fahrzeugtechnik VOLKSWAGEN (the joint research centre of the Volkswagen group) is funding a project to reduce design cycle costs for automotive aerodynamics. |
published_date |
2014-01-01T03:23:36Z |
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11.030517 |