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Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC

J. Townsend, Ben Evans Orcid Logo, T. Tudor

Aeronautical Journal, Volume: 120, Issue: 1228, Pages: 930 - 955

Swansea University Author: Ben Evans Orcid Logo

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DOI (Published version): 10.1017/aer.2016.40

Abstract

This paper describes the design optimisation study used to aerodynamically optimise the fairings that cover the rear wheels of the Land Speed Record vehicle, BLOODHOUND SuperSonic Car (SSC). Initially, using a Design of Experiments approach, a series of Computational Fluid Dynamics simulations were...

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Published in: Aeronautical Journal
ISSN: 0001-9240 2059-6464
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa31365
first_indexed 2016-12-06T20:37:50Z
last_indexed 2020-07-01T18:44:01Z
id cronfa31365
recordtype SURis
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spelling 2020-07-01T16:18:16.1723451 v2 31365 2016-12-06 Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false 2016-12-06 ACEM This paper describes the design optimisation study used to aerodynamically optimise the fairings that cover the rear wheels of the Land Speed Record vehicle, BLOODHOUND SuperSonic Car (SSC). Initially, using a Design of Experiments approach, a series of Computational Fluid Dynamics simulations were performed on a set of parametric geometries, with the goal of identifying a fairing geometry that was aerodynamically optimised for the target speed of 1,000 mph. Several aerodynamic properties were considered when deciding what design objectives the fairings would be optimised to achieve; chief amongst these was the minimisation of aerodynamic drag. A parallel, finite-volume Navier–Stokes solver was used on unstructured meshes in order to simulate the complex aerodynamic behaviour of the flow around the vehicle’s rear wheel structure, which involved a rotating wheel, and shockwaves generated close to a supersonic rolling ground plane. It was found that the simple response surface fitting approach did not sufficiently capture the complexities of the optimisation objective function across the high-dimensional design space. As a result, a Nelder–Mead optimisation approach was implemented, coupled with Radial Basis Function design space interpolation to find the final optimised fairing design. This paper presents the results of the optimisation study as well as indicating the likely impact this optimisation will have on the ultimate top speed of this unique vehicle. Journal Article Aeronautical Journal 120 1228 930 955 0001-9240 2059-6464 30 6 2016 2016-06-30 10.1017/aer.2016.40 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2020-07-01T16:18:16.1723451 2016-12-06T13:50:09.7251420 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering J. Townsend 1 Ben Evans 0000-0003-3662-9583 2 T. Tudor 3 0031365-08122016085443.pdf townsend2016.pdf 2016-12-08T08:54:43.7470000 Output 5848226 application/pdf Accepted Manuscript true 2016-12-08T00:00:00.0000000 false
title Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
spellingShingle Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
Ben Evans
title_short Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
title_full Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
title_fullStr Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
title_full_unstemmed Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
title_sort Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
author_id_str_mv 3d273fecc8121fe6b53b8fe5281b9c97
author_id_fullname_str_mv 3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans
author Ben Evans
author2 J. Townsend
Ben Evans
T. Tudor
format Journal article
container_title Aeronautical Journal
container_volume 120
container_issue 1228
container_start_page 930
publishDate 2016
institution Swansea University
issn 0001-9240
2059-6464
doi_str_mv 10.1017/aer.2016.40
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 - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description This paper describes the design optimisation study used to aerodynamically optimise the fairings that cover the rear wheels of the Land Speed Record vehicle, BLOODHOUND SuperSonic Car (SSC). Initially, using a Design of Experiments approach, a series of Computational Fluid Dynamics simulations were performed on a set of parametric geometries, with the goal of identifying a fairing geometry that was aerodynamically optimised for the target speed of 1,000 mph. Several aerodynamic properties were considered when deciding what design objectives the fairings would be optimised to achieve; chief amongst these was the minimisation of aerodynamic drag. A parallel, finite-volume Navier–Stokes solver was used on unstructured meshes in order to simulate the complex aerodynamic behaviour of the flow around the vehicle’s rear wheel structure, which involved a rotating wheel, and shockwaves generated close to a supersonic rolling ground plane. It was found that the simple response surface fitting approach did not sufficiently capture the complexities of the optimisation objective function across the high-dimensional design space. As a result, a Nelder–Mead optimisation approach was implemented, coupled with Radial Basis Function design space interpolation to find the final optimised fairing design. This paper presents the results of the optimisation study as well as indicating the likely impact this optimisation will have on the ultimate top speed of this unique vehicle.
published_date 2016-06-30T07:00:20Z
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score 11.04748

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