Identifying the factors influencing track degradation on the UK rail network
As trains traverse track, the smoothness of its vertical geometry decreases. This degradation is linked to many interrelated factors, making it difficult to identify the primary causes. Through the use of multiple layer analysis, each factor was individuated and nonparametric hypothesis tests utilis...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Online Access: | https://eprints.nottingham.ac.uk/41575/ |
| _version_ | 1848796306566283264 |
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| author | Clarke, S. Prescott, Darren |
| author_facet | Clarke, S. Prescott, Darren |
| author_sort | Clarke, S. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | As trains traverse track, the smoothness of its vertical geometry decreases. This degradation is linked to many interrelated factors, making it difficult to identify the primary causes. Through the use of multiple layer analysis, each factor was individuated and nonparametric hypothesis tests utilised. These showed that speed, sleepers and rail joint type have the largest impact on degradation rate. Rail type was seen to be less important than discussed in the literature. The impact of bedrock was more dependent on porosity than stiffness. The importance of minimising fines in the ballast was shown by the negative effect of dirty traffic. |
| first_indexed | 2025-11-14T19:45:53Z |
| format | Conference or Workshop Item |
| id | nottingham-41575 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:45:53Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-415752020-05-04T18:43:04Z https://eprints.nottingham.ac.uk/41575/ Identifying the factors influencing track degradation on the UK rail network Clarke, S. Prescott, Darren As trains traverse track, the smoothness of its vertical geometry decreases. This degradation is linked to many interrelated factors, making it difficult to identify the primary causes. Through the use of multiple layer analysis, each factor was individuated and nonparametric hypothesis tests utilised. These showed that speed, sleepers and rail joint type have the largest impact on degradation rate. Rail type was seen to be less important than discussed in the literature. The impact of bedrock was more dependent on porosity than stiffness. The importance of minimising fines in the ballast was shown by the negative effect of dirty traffic. 2017-04-25 Conference or Workshop Item PeerReviewed Clarke, S. and Prescott, Darren (2017) Identifying the factors influencing track degradation on the UK rail network. In: Stephenson Conference : Research for Railways, 25th-27th April 2017, London, United Kingdom. (Unpublished) |
| spellingShingle | Clarke, S. Prescott, Darren Identifying the factors influencing track degradation on the UK rail network |
| title | Identifying the factors influencing track degradation on the UK rail network |
| title_full | Identifying the factors influencing track degradation on the UK rail network |
| title_fullStr | Identifying the factors influencing track degradation on the UK rail network |
| title_full_unstemmed | Identifying the factors influencing track degradation on the UK rail network |
| title_short | Identifying the factors influencing track degradation on the UK rail network |
| title_sort | identifying the factors influencing track degradation on the uk rail network |
| url | https://eprints.nottingham.ac.uk/41575/ |