Ground structure approaches for the evolutionary optimization of aircraft wing structures
Ground structure approaches for the evolutionary optimization of aircraft wing structures
Aircraft wings have seen very few changes in the topological arrangement of the internal structures during the past decades. However, the traditional topology consisting of longitudinal spars and transverse ribs has not been conclusively shown to be the optimal. The purpose of this study is to develop a tool to explore the space of alternative internal structure topologies. We consider a pair of two-step optimization methods. First, a large set of potential structural members, i.e. a ground structure, is built inside the outer mold line of the wing. Second, an evolutionary optimization method is applied to search for the optimal subset of structural members. Two methods are used: a genetic algorithm (GA) and an evolutionary structural optimization (ESO) heuristic. The objective in both cases is to minimize the structural mass of the wing subject to stress and buckling constraints, which are evaluated by automated finite element analysis. The methods are applied to the structural design of the 3D printed wing of a small unmanned aerial vehicle (sUAV) and benchmarked against manually designed internal structures.
Sobester, Andras
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Ikonen, Teemu
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Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Ikonen, Teemu
d94a7607-5b27-4f95-8030-07e89f232231
Sobester, Andras and Ikonen, Teemu
(2016)
Ground structure approaches for the evolutionary optimization of aircraft wing structures.
16th AIAA Aviation Technology, Integration, and Operations Conference, , Washington D.C., United States.
13 - 17 Jun 2016.
21 pp
.
(doi:10.2514/6.2016-3286).
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Conference or Workshop Item
(Paper)
Abstract
Aircraft wings have seen very few changes in the topological arrangement of the internal structures during the past decades. However, the traditional topology consisting of longitudinal spars and transverse ribs has not been conclusively shown to be the optimal. The purpose of this study is to develop a tool to explore the space of alternative internal structure topologies. We consider a pair of two-step optimization methods. First, a large set of potential structural members, i.e. a ground structure, is built inside the outer mold line of the wing. Second, an evolutionary optimization method is applied to search for the optimal subset of structural members. Two methods are used: a genetic algorithm (GA) and an evolutionary structural optimization (ESO) heuristic. The objective in both cases is to minimize the structural mass of the wing subject to stress and buckling constraints, which are evaluated by automated finite element analysis. The methods are applied to the structural design of the 3D printed wing of a small unmanned aerial vehicle (sUAV) and benchmarked against manually designed internal structures.
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e-pub ahead of print date: 13 June 2016
Venue - Dates:
16th AIAA Aviation Technology, Integration, and Operations Conference, , Washington D.C., United States, 2016-06-13 - 2016-06-17
Organisations:
Computational Engineering & Design Group
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Local EPrints ID: 397577
URI: http://eprints.soton.ac.uk/id/eprint/397577
PURE UUID: b24f0ef8-fab4-40ec-83b7-77561b31c08d
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Date deposited: 04 Jul 2016 14:05
Last modified: 15 Mar 2024 03:13
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Author:
Teemu Ikonen
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