The University of Southampton
University of Southampton Institutional Repository

Reducing design time: the impact of evolutionary structural optimisation on structural trade studies during preliminary design

Reducing design time: the impact of evolutionary structural optimisation on structural trade studies during preliminary design
Reducing design time: the impact of evolutionary structural optimisation on structural trade studies during preliminary design
Aircraft design is an inherently multi-disciplinary decision making process. In many design processes, the vehicle configuration is selected based on aerodynamic considerations in the concept design stage, before the structural layout is considered during preliminary design. Selection of the best vehicle configuration relies on an estimate of weight to determine the required lift of the aircraft. Structural topology optimisation is an efficient method for automatically generating a structural design layout that fits within a given design space and meets a given set of design criteria. By comparison to parametric structural optimisation approaches, topology optimisation permits a much greater design freedom. Though often difficult to manufacture using conventional methods, this design freedom can be exploited by using additive manufacture. In this thesis, an integrated concept and preliminary aerostructural design framework is proposed, which incorporates topology optimisation as a means of structural layout generation and weight estimation. The framework is utilised to optimise the wing geometry of an unmanned air vehicle, while generating a fuselage structure, intended for construction using additive manufacture, which satisfies a von Mises stress constraint. By comparison to an equivalent shell thickness optimisation study, the topology optimisation approach is shown to generate much lighter structural designs for the same aerodynamic efficiency.
Kelly, Liam
46be85d1-7b18-4b53-be98-cfab4e413a56
Kelly, Liam
46be85d1-7b18-4b53-be98-cfab4e413a56
Keane, Andrew
26d7fa33-5415-4910-89d8-fb3620413def

(2015) Reducing design time: the impact of evolutionary structural optimisation on structural trade studies during preliminary design. University of Southampton, Faculty of Engineering and the Environment, Doctoral Thesis, 203pp.

Record type: Thesis (Doctoral)

Abstract

Aircraft design is an inherently multi-disciplinary decision making process. In many design processes, the vehicle configuration is selected based on aerodynamic considerations in the concept design stage, before the structural layout is considered during preliminary design. Selection of the best vehicle configuration relies on an estimate of weight to determine the required lift of the aircraft. Structural topology optimisation is an efficient method for automatically generating a structural design layout that fits within a given design space and meets a given set of design criteria. By comparison to parametric structural optimisation approaches, topology optimisation permits a much greater design freedom. Though often difficult to manufacture using conventional methods, this design freedom can be exploited by using additive manufacture. In this thesis, an integrated concept and preliminary aerostructural design framework is proposed, which incorporates topology optimisation as a means of structural layout generation and weight estimation. The framework is utilised to optimise the wing geometry of an unmanned air vehicle, while generating a fuselage structure, intended for construction using additive manufacture, which satisfies a von Mises stress constraint. By comparison to an equivalent shell thickness optimisation study, the topology optimisation approach is shown to generate much lighter structural designs for the same aerodynamic efficiency.

PDF
Thesis - Corrected v2.pdf - Other
Download (28MB)

More information

Published date: May 2015
Organisations: University of Southampton, Computational Engineering & Design Group

Identifiers

Local EPrints ID: 380508
URI: http://eprints.soton.ac.uk/id/eprint/380508
PURE UUID: 1cf792ea-3534-441e-8e06-2cb6487d7334

Catalogue record

Date deposited: 18 Aug 2015 13:46
Last modified: 17 Jul 2017 20:35

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×