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A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search

D.S. Naumann, Sean Walton Orcid Logo, Oubay Hassan Orcid Logo, Ben Evans Orcid Logo

Applied Mathematical Modelling, Volume: 40, Issue: 7-8, Pages: 4543 - 4559

Swansea University Authors: Sean Walton Orcid Logo, Oubay Hassan Orcid Logo, Ben Evans Orcid Logo

Abstract

This paper outlines a new computational aerodynamic design optimisation algorithm using a novel method of parameterising a computational mesh using `control nodes'. The shape boundary movement as well as the mesh movement is coupled to the movement of user--defined control nodes via a Delaunay...

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Published in: Applied Mathematical Modelling
ISSN: 0307904X
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa25940
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Abstract: This paper outlines a new computational aerodynamic design optimisation algorithm using a novel method of parameterising a computational mesh using `control nodes'. The shape boundary movement as well as the mesh movement is coupled to the movement of user--defined control nodes via a Delaunay Graph Mapping technique. A Modified Cuckoo Search algorithm is employed for optimisation within the prescribed design space defined by the allowed range of control node displacement. A finite volume compressible Navier--Stokes solver is used for aerodynamic modelling to predict aerodynamic design `fitness'. The resulting coupled algorithm is applied to a range of test cases in two dimensions including aerofoil lift--drag ratio optimisation intake duct optimisation under subsonic, transonic and supersonic flow conditions. The discrete (mesh--based) optimisation approach presented is demonstrated to be effective in terms of its generalised applicability and intuitiveness.
College: Faculty of Science and Engineering
Issue: 7-8
Start Page: 4543
End Page: 4559