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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
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URI: https://cronfa.swan.ac.uk/Record/cronfa25940
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spelling 2020-05-26T15:48:42.6710412 v2 25940 2016-01-20 A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search 0ec10d5e3ed3720a2d578417a894cf49 0000-0002-6451-265X Sean Walton Sean Walton true false 07479d73eba3773d8904cbfbacc57c5b 0000-0001-7472-3218 Oubay Hassan Oubay Hassan true false 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false 2016-01-20 SCS 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. Journal Article Applied Mathematical Modelling 40 7-8 4543 4559 0307904X 30 4 2016 2016-04-30 10.1016/j.apm.2015.11.023 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2020-05-26T15:48:42.6710412 2016-01-20T12:18:06.5127440 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering D.S. Naumann 1 Sean Walton 0000-0002-6451-265X 2 Oubay Hassan 0000-0001-7472-3218 3 Ben Evans 0000-0003-3662-9583 4 0025940-07022016142341.pdf 1NovelMeshMovement.pdf 2016-02-07T14:23:41.8970000 Output 5482864 application/pdf Submitted Manuscript Under Review true 2016-02-07T00:00:00.0000000 true 0025940-12022016164721.pdf NaumannANovelImplementationOfComputationalAerodynamicShape2015.pdf 2016-02-12T16:47:21.7670000 Output 17917996 application/pdf Accepted Manuscript true 2016-12-02T00:00:00.0000000 true
title A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
spellingShingle A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
Sean Walton
Oubay Hassan
Ben Evans
title_short A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
title_full A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
title_fullStr A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
title_full_unstemmed A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
title_sort A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
author_id_str_mv 0ec10d5e3ed3720a2d578417a894cf49
07479d73eba3773d8904cbfbacc57c5b
3d273fecc8121fe6b53b8fe5281b9c97
author_id_fullname_str_mv 0ec10d5e3ed3720a2d578417a894cf49_***_Sean Walton
07479d73eba3773d8904cbfbacc57c5b_***_Oubay Hassan
3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans
author Sean Walton
Oubay Hassan
Ben Evans
author2 D.S. Naumann
Sean Walton
Oubay Hassan
Ben Evans
format Journal article
container_title Applied Mathematical Modelling
container_volume 40
container_issue 7-8
container_start_page 4543
publishDate 2016
institution Swansea University
issn 0307904X
doi_str_mv 10.1016/j.apm.2015.11.023
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description 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.
published_date 2016-04-30T03:31:01Z
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score 11.013731