Creep slope estimation for assessing adhesion in the wheel/rail contact

Abstract The UK rail network is subject to costly disruption due to the operational effects of adhesion variation between the wheel and rail. Causes of this are often environmental introduction of contaminants that require a wide‐scale approach to risk mitigation such as defensive driving or rail‐head maintenance. It remains an open problem to monitor the real‐time status of the network to optimise resources and approaches in response to adhesion problems. This article presents an on‐vehicle monitoring method designed to estimate the coefficient of friction by processing data from on‐board sensors of typical rail passenger vehicles. This approach uses a multi‐body physics analysis of a target vehicle to create estimators for both creep force and creep, allowing a curve fitting approach to estimate the coefficient for friction from the creep curves.

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Publication Details

Journal
IET Intelligent Transport Systems
Published
2024-09-14
DOI
https://doi.org/10.1049/itr2.12561
Citations
6
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
1.28
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article

Creep slope estimation for assessing adhesion in the wheel/rail contact

Bilal M. Abduraxman, Peter Hubbard, Tim J. Harrison, Christopher Ward
6 citations
IET Intelligent Transport Systems
Railway Engineering and Dynamics
1.28
article

Creep slope estimation for assessing adhesion in the wheel/rail contact

Bilal M. Abduraxman, Peter Hubbard, Tim J. Harrison, Christopher Ward
article en
6 citations

Abstract

Abstract The UK rail network is subject to costly disruption due to the operational effects of adhesion variation between the wheel and rail. Causes of this are often environmental introduction of contaminants that require a wide‐scale approach to risk mitigation such as defensive driving or rail‐head maintenance. It remains an open problem to monitor the real‐time status of the network to optimise resources and approaches in response to adhesion problems. This article presents an on‐vehicle monitoring method designed to estimate the coefficient of friction by processing data from on‐board sensors of typical rail passenger vehicles. This approach uses a multi‐body physics analysis of a target vehicle to create estimators for both creep force and creep, allowing a curve fitting approach to estimate the coefficient for friction from the creep curves.

IET Intelligent Transport SystemsVol. 18(10)
Loughborough University (GB)
Openalex Percentile: Top 23%
Railway Engineering and Dynamics
1.28
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