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Aircraft wing design using GA-based multi-level strategies

Aircraft wing design using GA-based multi-level strategies
Aircraft wing design using GA-based multi-level strategies
The design of the wings for a transonic civil transport aircraft is an extremely complex task. It is normally undertaken over an extended time period and at a variety of levels of complexity. Typically, simple empirical models are used at the earliest stages of concept design, followed by ever more complex methods as the design process proceeds towards the final detailed stages. Moreover, this process is increasingly dominated by computational methods for both analysis (such as CFD) and synthesis (such as optimization). In this paper the further development of the Southampton Wing Design Environment is described. This Problem Solving Environment (PSE) combines multiple analysis methods of differing levels of complexity with powerful search and optimization techniques. A particular focus of the research is the use of evolutionary search strategies, such as genetic algorithms, and of data fusion between the results of various analysis codes when applied to concept design problems.
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Petruzzelli, N.
00d68772-5d7e-451d-924e-d5ae3ab58a22
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Petruzzelli, N.
00d68772-5d7e-451d-924e-d5ae3ab58a22

Keane, A.J. and Petruzzelli, N. (2000) Aircraft wing design using GA-based multi-level strategies. AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Long Beach, USA. 05 - 07 Sep 2000. 28 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The design of the wings for a transonic civil transport aircraft is an extremely complex task. It is normally undertaken over an extended time period and at a variety of levels of complexity. Typically, simple empirical models are used at the earliest stages of concept design, followed by ever more complex methods as the design process proceeds towards the final detailed stages. Moreover, this process is increasingly dominated by computational methods for both analysis (such as CFD) and synthesis (such as optimization). In this paper the further development of the Southampton Wing Design Environment is described. This Problem Solving Environment (PSE) combines multiple analysis methods of differing levels of complexity with powerful search and optimization techniques. A particular focus of the research is the use of evolutionary search strategies, such as genetic algorithms, and of data fusion between the results of various analysis codes when applied to concept design problems.

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More information

Published date: 2000
Venue - Dates: AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Long Beach, USA, 2000-09-05 - 2000-09-07

Identifiers

Local EPrints ID: 21403
URI: http://eprints.soton.ac.uk/id/eprint/21403
PURE UUID: 68a2d5f0-b6e1-42bd-8479-6034834c2f54
ORCID for A.J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

Catalogue record

Date deposited: 07 Feb 2007
Last modified: 26 Jul 2022 01:35

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Contributors

Author: A.J. Keane ORCID iD
Author: N. Petruzzelli

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