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A comprehensive preference-based optimization framework with application to high-lift aerodynamic design

A comprehensive preference-based optimization framework with application to high-lift aerodynamic design
A comprehensive preference-based optimization framework with application to high-lift aerodynamic design
An integral component of transport aircraft design is the high-lift configuration, which can provide significant benefits in aircraft payload-carrying capacity. However, aerodynamic optimization of a high-lift configuration is a computationally challenging undertaking, due to the complex flow-field. We propose the use of a designerinteractive multiobjective optimization framework which identifies and exploits preferred regions of the Pareto frontier. Visual data mining tools are introduced to statistically extract information from the design space and confirm the relative influence of both variables and objectives to the preferred interests of the designer. The framework is assisted by the construction of time-adaptive Kriging models, which are cooperatively used with a high fidelity Reynolds-averaged Navier-Stokes solver. The successful integration of these design tools is facilitated through the specification of a reference point, which is ideally based on an existing design configuration. The framework is demonstrated to perform efficiently for the present case-study within the imposed computational budget.
1209-1227
Carrese, Robert
43d7ce70-5f5e-4b11-ba8a-263bf1778a0d
Winarto, Hadi
88bac9f9-c5b9-4fb4-86e3-c92929fae640
Li, Xiaodong
9a1d146e-1c0d-4b78-b84e-7706504a1cdc
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Ebenezer, Samuel
b6e2233e-1e3b-485d-b4f2-aa800fdbb49f
Carrese, Robert
43d7ce70-5f5e-4b11-ba8a-263bf1778a0d
Winarto, Hadi
88bac9f9-c5b9-4fb4-86e3-c92929fae640
Li, Xiaodong
9a1d146e-1c0d-4b78-b84e-7706504a1cdc
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Ebenezer, Samuel
b6e2233e-1e3b-485d-b4f2-aa800fdbb49f

Carrese, Robert, Winarto, Hadi, Li, Xiaodong, Sobester, Andras and Ebenezer, Samuel (2012) A comprehensive preference-based optimization framework with application to high-lift aerodynamic design. Engineering Optimization, 44 (10), 1209-1227. (doi:10.1080/0305215X.2011.637558).

Record type: Article

Abstract

An integral component of transport aircraft design is the high-lift configuration, which can provide significant benefits in aircraft payload-carrying capacity. However, aerodynamic optimization of a high-lift configuration is a computationally challenging undertaking, due to the complex flow-field. We propose the use of a designerinteractive multiobjective optimization framework which identifies and exploits preferred regions of the Pareto frontier. Visual data mining tools are introduced to statistically extract information from the design space and confirm the relative influence of both variables and objectives to the preferred interests of the designer. The framework is assisted by the construction of time-adaptive Kriging models, which are cooperatively used with a high fidelity Reynolds-averaged Navier-Stokes solver. The successful integration of these design tools is facilitated through the specification of a reference point, which is ideally based on an existing design configuration. The framework is demonstrated to perform efficiently for the present case-study within the imposed computational budget.

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Accepted/In Press date: 11 October 2011
e-pub ahead of print date: 8 February 2012
Published date: October 2012
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 207959
URI: https://eprints.soton.ac.uk/id/eprint/207959
PURE UUID: 69d16835-ae84-46e1-9d54-e339866175c9
ORCID for Andras Sobester: ORCID iD orcid.org/0000-0002-8997-4375

Catalogue record

Date deposited: 16 Jan 2012 13:06
Last modified: 06 Jun 2018 12:48

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