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Optimal design of a guided wave rail web transducor using numerical modelling

Dissertation (MEng)--University of Pretoria, 2016.

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Other Authors: Wilke, Daniel Nicolas
Format: Thesis
Language:English
Published: University of Pretoria 2016
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access_status_str Open Access
author2 Wilke, Daniel Nicolas
author_browse Wilke, Daniel Nicolas
author_facet Wilke, Daniel Nicolas
collection Thesis
dc_rights_str_mv © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng)--University of Pretoria, 2016.
format Thesis
id oai:repository.up.ac.za:2263/57501
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:54.752Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/57501 Optimal design of a guided wave rail web transducor using numerical modelling Wilke, Daniel Nicolas u10245503@tuks.co.za Loveday, P.W. Ramatlo, Dineo Anna UCTD Ultrasonic guided wave Piezoelectric transducer SAFE-3D Optimization Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Dissertation (MEng)--University of Pretoria, 2016. Ultrasonic Guided Waves can propagate over long distances, and are thus suitable for the interrogation of long structural members such as rails. A recently developed Ultrasonic Broken Rail Detection (UBRD) system for monitoring continuously welded train rail tracks, primarily detects complete breaks. This system uses a guided wave mode with energy concentrated in the head of the rail, which propagates large distances and which is suitable for detecting defects in the rail head. Exploiting a second mode, with energy concentrated in the web section, would allow us to e ectively detect defects in the web of the rail. The objective of this study is to develop an ultrasonic piezoelectric transducer that can excite a guided wave mode with energy concentrated in the web of the rail. It is required that the transducer must strongly excite such a mode at the operational frequency of the UBRD system. The objective is thus to obtain a design with optimal performance. A recently developed numerical modelling technique is used to model the interaction of the transducer with the rail structure. The technique employs a 2D Semi-Analytical Finite Element (SAFE) mesh of the rail cross-section and a 3D nite element mesh of the transducer; and is thus referred to as SAFE-3D. The accuracy of the SAFE-3D method was validated though experimental measurements performed on a previously developed transducer. A design objective function representative of the energy transmitted by the transducer to the web mode was selected. The identi ed design variables were the dimensions of the transducer components. The performance of the transducer was optimized using a response surface-based optimization approach with a Latin Hypercube sampled design of experiments (DoE) that required SAFE-3D analyses at the sampled points. A Nelder- Mead optimization algorithm was then used to nd an optimal transducer design on the response surface. The performance of the optimal transducer predicted by the response surface was found to be in good agreement with that computed from SAFE-3D. The optimum transducer was manufactured and experimental measurements veri ed that the transducer model was exceptionally good. The design method adopted in this study could be used to automate the design of transducers for other sections of the rail or other frequencies of operation. tm2016 Mechanical and Aeronautical Engineering MEng Unrestricted SDG-09: Industry, innovation and infrastructure SDG-12: Responsible consumption and production 2016-10-27T07:28:35Z 2016-10-27T07:28:35Z 2016-09-01 2016 Dissertation Ramatlo, DA 2016, Optimal design of a guided wave rail web transducor using numerical modelling, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/57501> S2016 http://hdl.handle.net/2263/57501 en © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Ultrasonic guided wave
Piezoelectric transducer
SAFE-3D
Optimization
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
Optimal design of a guided wave rail web transducor using numerical modelling
title Optimal design of a guided wave rail web transducor using numerical modelling
title_full Optimal design of a guided wave rail web transducor using numerical modelling
title_fullStr Optimal design of a guided wave rail web transducor using numerical modelling
title_full_unstemmed Optimal design of a guided wave rail web transducor using numerical modelling
title_short Optimal design of a guided wave rail web transducor using numerical modelling
title_sort optimal design of a guided wave rail web transducor using numerical modelling
topic UCTD
Ultrasonic guided wave
Piezoelectric transducer
SAFE-3D
Optimization
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
url http://hdl.handle.net/2263/57501