Predictive Wheel-rail Management in London Underground: Validation and Verification

Andy Vickerstaff, Adam Bevan, Pelin Boyacioglu

Research output: Contribution to journalArticle

Abstract

London Underground is facing the challenge of increasing timetables against spending cuts across renewals and maintenance in all assets. In order to meet this challenge, it is reviewing all maintenance practices to make sure they are appropriate for current asset conditions. Management of the wheel-rail interface is critical to maximising the life of wheels and rails through preventative maintenance regimes that ensure all activities offer value for money and safe operation. Detailed monitoring of asset condition using novel non-destructive techniques has allowed the identification of the problems which currently occur at the wheel-rail interface on the LUL network. These problems are discussed in this paper along with some of the solutions proposed to manage them. Site observations from a range of rail rolling contact fatigue (RCF) monitoring sites have also been compared to the outputs from vehicle dynamic simulations. These outputs were post-processed using a circle plotting technique, which illustrates the location, direction and severity of the forces, and the Whole Life Rail Model (WLRM) to predict the susceptibility to rail damage for two rail steel grades. The outputs from these comparisons have helped to illustrate the wheel-rail contact conditions and forces which are driving the observed damage and potential future enhancements to improve the accuracy of the models for predicting the observed RCF damage.
LanguageEnglish
JournalProceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Publication statusAccepted/In press - 28 Aug 2019

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Rails
Wheels
Monitoring
Fatigue damage
Fatigue of materials
Steel
Computer simulation

Cite this

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title = "Predictive Wheel-rail Management in London Underground: Validation and Verification",
abstract = "London Underground is facing the challenge of increasing timetables against spending cuts across renewals and maintenance in all assets. In order to meet this challenge, it is reviewing all maintenance practices to make sure they are appropriate for current asset conditions. Management of the wheel-rail interface is critical to maximising the life of wheels and rails through preventative maintenance regimes that ensure all activities offer value for money and safe operation. Detailed monitoring of asset condition using novel non-destructive techniques has allowed the identification of the problems which currently occur at the wheel-rail interface on the LUL network. These problems are discussed in this paper along with some of the solutions proposed to manage them. Site observations from a range of rail rolling contact fatigue (RCF) monitoring sites have also been compared to the outputs from vehicle dynamic simulations. These outputs were post-processed using a circle plotting technique, which illustrates the location, direction and severity of the forces, and the Whole Life Rail Model (WLRM) to predict the susceptibility to rail damage for two rail steel grades. The outputs from these comparisons have helped to illustrate the wheel-rail contact conditions and forces which are driving the observed damage and potential future enhancements to improve the accuracy of the models for predicting the observed RCF damage.",
keywords = "Wheel profile management, rail profile management, rolling contact fatigue, adhesion management, preventative maintenance",
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T2 - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

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AU - Bevan, Adam

AU - Boyacioglu, Pelin

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N2 - London Underground is facing the challenge of increasing timetables against spending cuts across renewals and maintenance in all assets. In order to meet this challenge, it is reviewing all maintenance practices to make sure they are appropriate for current asset conditions. Management of the wheel-rail interface is critical to maximising the life of wheels and rails through preventative maintenance regimes that ensure all activities offer value for money and safe operation. Detailed monitoring of asset condition using novel non-destructive techniques has allowed the identification of the problems which currently occur at the wheel-rail interface on the LUL network. These problems are discussed in this paper along with some of the solutions proposed to manage them. Site observations from a range of rail rolling contact fatigue (RCF) monitoring sites have also been compared to the outputs from vehicle dynamic simulations. These outputs were post-processed using a circle plotting technique, which illustrates the location, direction and severity of the forces, and the Whole Life Rail Model (WLRM) to predict the susceptibility to rail damage for two rail steel grades. The outputs from these comparisons have helped to illustrate the wheel-rail contact conditions and forces which are driving the observed damage and potential future enhancements to improve the accuracy of the models for predicting the observed RCF damage.

AB - London Underground is facing the challenge of increasing timetables against spending cuts across renewals and maintenance in all assets. In order to meet this challenge, it is reviewing all maintenance practices to make sure they are appropriate for current asset conditions. Management of the wheel-rail interface is critical to maximising the life of wheels and rails through preventative maintenance regimes that ensure all activities offer value for money and safe operation. Detailed monitoring of asset condition using novel non-destructive techniques has allowed the identification of the problems which currently occur at the wheel-rail interface on the LUL network. These problems are discussed in this paper along with some of the solutions proposed to manage them. Site observations from a range of rail rolling contact fatigue (RCF) monitoring sites have also been compared to the outputs from vehicle dynamic simulations. These outputs were post-processed using a circle plotting technique, which illustrates the location, direction and severity of the forces, and the Whole Life Rail Model (WLRM) to predict the susceptibility to rail damage for two rail steel grades. The outputs from these comparisons have helped to illustrate the wheel-rail contact conditions and forces which are driving the observed damage and potential future enhancements to improve the accuracy of the models for predicting the observed RCF damage.

KW - Wheel profile management

KW - rail profile management

KW - rolling contact fatigue

KW - adhesion management

KW - preventative maintenance

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JO - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

JF - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

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