Prediction of RCF Damage on Underground Metro Lines

Pelin Boyacioglu, Adam Bevan, Andy Vickerstaff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

London Underground (LUL) is one of the largest metro networks in the world and carried nearly 1.5 billion passengers in 2015. This increasing passenger demand leads to higher axle loads and shorter headways in the railway operations. However, this has a detrimental impact on the damage generated at the wheel-rail interface. In spite of the advances in rolling stock and track engineering, new
developments in material manufacturing methods and rail inspection technology, cracking in rails still remains a major concern for infrastructure managers in terms of safety and maintenance costs. In this study, field data from two metro lines on the LUL network was analysed to identify the distribution and severity of the different damage types. Detailed vehicle dynamics route simulations were conducted for the lines and the calculated wheel-rail forces were investigated to assess the applicability current models for the
prediction of rail damage on metro lines. These models include the Whole Life Rail Model (WLRM), previously developed for Great Britain (GB) main line tracks, and Shakedown theory. The influence of key factors such as curve radius, different friction conditions, track irregularities and wheel-rail profiles on the
wheel-rail contact interface have been evaluated and compared with outputs from simulations on mainline routes. The study found that the contact patch energy (Tγ) and the interaction between wear and RCF in rails were highly influenced by the characteristics of metro tracks. It was also shown that both the Tγ and Shakedown methods can provide successful prediction of damage susceptibility of rails. However, in order to increase the accuracy of damage predictions and to ascertain the severity of different damage types, the
duty conditions which are observed by the rail and the changes in contact conditions resulting from the successive vehicle passes should be considered in the modelling.
Original languageEnglish
Title of host publicationICRT 2017
Subtitle of host publicationRailway Development, Operations, and Maintenance
EditorsWanming Zhai, Kelvin C. P. Wang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages207-225
Number of pages18
ISBN (Electronic)9780784481257
DOIs
Publication statusPublished - 10 Jul 2017
EventFirst International Conference on Rail Transportation - Chengdu, China
Duration: 10 Jul 201712 Jul 2017
Conference number: 1
http://www.icrt-swjtu.org/ (Link to Conference Website)

Conference

ConferenceFirst International Conference on Rail Transportation
Abbreviated titleICRT 2017
CountryChina
CityChengdu
Period10/07/1712/07/17
OtherThe First International Conference on Rail Transportation is an open forum for scientists, researchers, and engineers around the world to promote the exchange of the latest scientific and technological innovations in rail transportation; and to advance the state-of-the-art in engineering and practices for various types of rail-based transportation systems.
Internet address

Fingerprint

Rails
Wheels
Railroad tracks
Axles
Managers
Inspection
Wear of materials
Friction

Cite this

Boyacioglu, P., Bevan, A., & Vickerstaff, A. (2017). Prediction of RCF Damage on Underground Metro Lines. In W. Zhai, & K. C. P. Wang (Eds.), ICRT 2017: Railway Development, Operations, and Maintenance (pp. 207-225). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784481257.023
Boyacioglu, Pelin ; Bevan, Adam ; Vickerstaff, Andy . / Prediction of RCF Damage on Underground Metro Lines. ICRT 2017: Railway Development, Operations, and Maintenance. editor / Wanming Zhai ; Kelvin C. P. Wang. American Society of Civil Engineers (ASCE), 2017. pp. 207-225
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title = "Prediction of RCF Damage on Underground Metro Lines",
abstract = "London Underground (LUL) is one of the largest metro networks in the world and carried nearly 1.5 billion passengers in 2015. This increasing passenger demand leads to higher axle loads and shorter headways in the railway operations. However, this has a detrimental impact on the damage generated at the wheel-rail interface. In spite of the advances in rolling stock and track engineering, newdevelopments in material manufacturing methods and rail inspection technology, cracking in rails still remains a major concern for infrastructure managers in terms of safety and maintenance costs. In this study, field data from two metro lines on the LUL network was analysed to identify the distribution and severity of the different damage types. Detailed vehicle dynamics route simulations were conducted for the lines and the calculated wheel-rail forces were investigated to assess the applicability current models for theprediction of rail damage on metro lines. These models include the Whole Life Rail Model (WLRM), previously developed for Great Britain (GB) main line tracks, and Shakedown theory. The influence of key factors such as curve radius, different friction conditions, track irregularities and wheel-rail profiles on thewheel-rail contact interface have been evaluated and compared with outputs from simulations on mainline routes. The study found that the contact patch energy (Tγ) and the interaction between wear and RCF in rails were highly influenced by the characteristics of metro tracks. It was also shown that both the Tγ and Shakedown methods can provide successful prediction of damage susceptibility of rails. However, in order to increase the accuracy of damage predictions and to ascertain the severity of different damage types, theduty conditions which are observed by the rail and the changes in contact conditions resulting from the successive vehicle passes should be considered in the modelling.",
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Boyacioglu, P, Bevan, A & Vickerstaff, A 2017, Prediction of RCF Damage on Underground Metro Lines. in W Zhai & KCP Wang (eds), ICRT 2017: Railway Development, Operations, and Maintenance. American Society of Civil Engineers (ASCE), pp. 207-225, First International Conference on Rail Transportation, Chengdu, China, 10/07/17. https://doi.org/10.1061/9780784481257.023

Prediction of RCF Damage on Underground Metro Lines. / Boyacioglu, Pelin; Bevan, Adam; Vickerstaff, Andy .

ICRT 2017: Railway Development, Operations, and Maintenance. ed. / Wanming Zhai; Kelvin C. P. Wang. American Society of Civil Engineers (ASCE), 2017. p. 207-225.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - London Underground (LUL) is one of the largest metro networks in the world and carried nearly 1.5 billion passengers in 2015. This increasing passenger demand leads to higher axle loads and shorter headways in the railway operations. However, this has a detrimental impact on the damage generated at the wheel-rail interface. In spite of the advances in rolling stock and track engineering, newdevelopments in material manufacturing methods and rail inspection technology, cracking in rails still remains a major concern for infrastructure managers in terms of safety and maintenance costs. In this study, field data from two metro lines on the LUL network was analysed to identify the distribution and severity of the different damage types. Detailed vehicle dynamics route simulations were conducted for the lines and the calculated wheel-rail forces were investigated to assess the applicability current models for theprediction of rail damage on metro lines. These models include the Whole Life Rail Model (WLRM), previously developed for Great Britain (GB) main line tracks, and Shakedown theory. The influence of key factors such as curve radius, different friction conditions, track irregularities and wheel-rail profiles on thewheel-rail contact interface have been evaluated and compared with outputs from simulations on mainline routes. The study found that the contact patch energy (Tγ) and the interaction between wear and RCF in rails were highly influenced by the characteristics of metro tracks. It was also shown that both the Tγ and Shakedown methods can provide successful prediction of damage susceptibility of rails. However, in order to increase the accuracy of damage predictions and to ascertain the severity of different damage types, theduty conditions which are observed by the rail and the changes in contact conditions resulting from the successive vehicle passes should be considered in the modelling.

AB - London Underground (LUL) is one of the largest metro networks in the world and carried nearly 1.5 billion passengers in 2015. This increasing passenger demand leads to higher axle loads and shorter headways in the railway operations. However, this has a detrimental impact on the damage generated at the wheel-rail interface. In spite of the advances in rolling stock and track engineering, newdevelopments in material manufacturing methods and rail inspection technology, cracking in rails still remains a major concern for infrastructure managers in terms of safety and maintenance costs. In this study, field data from two metro lines on the LUL network was analysed to identify the distribution and severity of the different damage types. Detailed vehicle dynamics route simulations were conducted for the lines and the calculated wheel-rail forces were investigated to assess the applicability current models for theprediction of rail damage on metro lines. These models include the Whole Life Rail Model (WLRM), previously developed for Great Britain (GB) main line tracks, and Shakedown theory. The influence of key factors such as curve radius, different friction conditions, track irregularities and wheel-rail profiles on thewheel-rail contact interface have been evaluated and compared with outputs from simulations on mainline routes. The study found that the contact patch energy (Tγ) and the interaction between wear and RCF in rails were highly influenced by the characteristics of metro tracks. It was also shown that both the Tγ and Shakedown methods can provide successful prediction of damage susceptibility of rails. However, in order to increase the accuracy of damage predictions and to ascertain the severity of different damage types, theduty conditions which are observed by the rail and the changes in contact conditions resulting from the successive vehicle passes should be considered in the modelling.

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PB - American Society of Civil Engineers (ASCE)

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Boyacioglu P, Bevan A, Vickerstaff A. Prediction of RCF Damage on Underground Metro Lines. In Zhai W, Wang KCP, editors, ICRT 2017: Railway Development, Operations, and Maintenance. American Society of Civil Engineers (ASCE). 2017. p. 207-225 https://doi.org/10.1061/9780784481257.023