Support Vector Machine Applied to the Optimal Design of Composite Wing Panels

One of the core technologies in lightweight structures is the optimal design of laminated composite stiffened panels. The increasing tailoring potential of new materials added to the simultaneous optimization of various design regions, leading to design spaces that are vast and non-convex. In order...

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Autores principales:	Rogério Rodrigues dos Santos, Tulio Gomes de Paula Machado, Saullo Giovani Pereira Castro
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multi-objective optimization stiffened panels composite wing layout optimization sizing optimization buckling Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/220fa2ee18f24f51ae4a63f88384a2b4
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id	oai:doaj.org-article:220fa2ee18f24f51ae4a63f88384a2b4
record_format	dspace
spelling	oai:doaj.org-article:220fa2ee18f24f51ae4a63f88384a2b42021-11-25T15:57:23ZSupport Vector Machine Applied to the Optimal Design of Composite Wing Panels10.3390/aerospace81103282226-4310https://doaj.org/article/220fa2ee18f24f51ae4a63f88384a2b42021-11-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/328https://doaj.org/toc/2226-4310One of the core technologies in lightweight structures is the optimal design of laminated composite stiffened panels. The increasing tailoring potential of new materials added to the simultaneous optimization of various design regions, leading to design spaces that are vast and non-convex. In order to find an optimal design using limited information, this paper proposes a workflow consisting of design of experiments, metamodeling and optimization phases. A machine learning strategy based on support vector machine (SVM) is used for data classification and interpolation. The combination of mass minimization and buckling evaluation under combined load is handled by a multi-objective formulation. The choice of a deterministic algorithm for the optimization cycle accelerates the convergence towards an optimal design. The analysis of the Pareto frontier illustrates the compromise between conflicting objectives. As a result, a balance is found between the exploration of new design regions and the optimal design refinement. Numerical experiments evaluating the design of a representative upper skin wing panel are used to show the viability of the proposed methodology.Rogério Rodrigues dos SantosTulio Gomes de Paula MachadoSaullo Giovani Pereira CastroMDPI AGarticlemulti-objective optimizationstiffened panelscomposite winglayout optimizationsizing optimizationbucklingMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 328, p 328 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-objective optimization stiffened panels composite wing layout optimization sizing optimization buckling Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	multi-objective optimization stiffened panels composite wing layout optimization sizing optimization buckling Motor vehicles. Aeronautics. Astronautics TL1-4050 Rogério Rodrigues dos Santos Tulio Gomes de Paula Machado Saullo Giovani Pereira Castro Support Vector Machine Applied to the Optimal Design of Composite Wing Panels
description	One of the core technologies in lightweight structures is the optimal design of laminated composite stiffened panels. The increasing tailoring potential of new materials added to the simultaneous optimization of various design regions, leading to design spaces that are vast and non-convex. In order to find an optimal design using limited information, this paper proposes a workflow consisting of design of experiments, metamodeling and optimization phases. A machine learning strategy based on support vector machine (SVM) is used for data classification and interpolation. The combination of mass minimization and buckling evaluation under combined load is handled by a multi-objective formulation. The choice of a deterministic algorithm for the optimization cycle accelerates the convergence towards an optimal design. The analysis of the Pareto frontier illustrates the compromise between conflicting objectives. As a result, a balance is found between the exploration of new design regions and the optimal design refinement. Numerical experiments evaluating the design of a representative upper skin wing panel are used to show the viability of the proposed methodology.
format	article
author	Rogério Rodrigues dos Santos Tulio Gomes de Paula Machado Saullo Giovani Pereira Castro
author_facet	Rogério Rodrigues dos Santos Tulio Gomes de Paula Machado Saullo Giovani Pereira Castro
author_sort	Rogério Rodrigues dos Santos
title	Support Vector Machine Applied to the Optimal Design of Composite Wing Panels
title_short	Support Vector Machine Applied to the Optimal Design of Composite Wing Panels
title_full	Support Vector Machine Applied to the Optimal Design of Composite Wing Panels
title_fullStr	Support Vector Machine Applied to the Optimal Design of Composite Wing Panels
title_full_unstemmed	Support Vector Machine Applied to the Optimal Design of Composite Wing Panels
title_sort	support vector machine applied to the optimal design of composite wing panels
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/220fa2ee18f24f51ae4a63f88384a2b4
work_keys_str_mv	AT rogeriorodriguesdossantos supportvectormachineappliedtotheoptimaldesignofcompositewingpanels AT tuliogomesdepaulamachado supportvectormachineappliedtotheoptimaldesignofcompositewingpanels AT saullogiovanipereiracastro supportvectormachineappliedtotheoptimaldesignofcompositewingpanels
_version_	1718413368113496064

Support Vector Machine Applied to the Optimal Design of Composite Wing Panels

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