Optimisation of wheelset maintenance using whole-system cost modelling

Bevan, Adam; Molyneux-Berry, Paul; Mills, Steve; Rhodes, Andy; Ling, Daniel

doi:10.1177/0954409713484712

Cited by 19 publications

(10 citation statements)

References 4 publications

(6 reference statements)

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“…The predicted damage rates have been successfully used in the recently developed Wheelset Management Model (WMM) [24,25] to estimate the emerging wheelset maintenance and renewal costs.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a wheel wear and rolling contact fatigue damage model

Bevan

Molyneux-Berry

Eickhoff

et al. 2013

Wear

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This paper summaries the development of a damage model to predict the deterioration rates of the wheel tread in terms of wear and rolling contact fatigue (RCF) damage. The model uses a description of a fleet's route diagram to characterise the duty cycle of the vehicle in terms of curve radius, cant deficiency and traction/braking performance. Using this duty cycle a large number of vehicle dynamics simulations are automatically conducted to calculate wheel-rail contact forces and predict the formation of wear and RCF damage, using a combination of the Archard and frictional energy-based (Tγ) damage models.The damage models have been validated using observation data (wear rates and maximum observed RCF damage) acquired from a range of vehicle fleets in Great Britain (GB). Results from the validation of the model are presented along with a review of the wheel turning and observation data.A piece-wise linear regression is fitted to the wear and RCF parameters predicted from the model to determine the damage rates for each wheelset type on the vehicle. These damage rates are used within the recently developed Wheelset Management Model (WMM) to describe how the attributes of the wheel (i.e. wheel diameter, profile shape and tread damage) deteriorate over time and trigger a maintenance or renewal activity when the condition of the wheel matches a particular limiting value.This work formed part of the rail industry research programme managed by the Rail Safety and Standards Board (RSSB), and funded by the Department for Transport, to increase the rolling stock functionality of the Vehicle Track Interaction Strategic Model (VTISM) tool.

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“…The predicted damage rates have been successfully used in the recently developed Wheelset Management Model (WMM) [24,25] to estimate the emerging wheelset maintenance and renewal costs.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a wheel wear and rolling contact fatigue damage model

Bevan

Molyneux-Berry

Eickhoff

et al. 2013

Wear

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“…The LCC modelling has been carried out using the GB rail industry tool VTISM. 25,26 VTISM is a strategic cost modelling tool employed by Network Rail, which can be used to predict the impact of vehicle–track changes on whole system costs. At the high level, VTISM can be used to determine the volume of inspection, maintenance and renewals activities and calculate the associated costs.…”

Section: Life-cycle Cost Modelling and Economic Assessmentmentioning

confidence: 99%

Judicious selection of available rail steels to reduce life-cycle costs

Bevan

Jaiswal

Smith

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part F:

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The rate of rail degradation and hence its expected life is not uniform throughout any railway network and is governed by a combination of track, traffic and operating characteristics in addition to the metallurgical attributes of the rail steel. Consequently, it is suggested that any route or network is not a single linear asset but is a compilation of individual segments with different track characteristics, degradation rates and expected life spans. Thus, the choice of rail steel grade to maximise life (and minimise life-cycle costs) needs to combine knowledge of the metallurgical attributes of the available rail steels with the conditions prevailing at the wheel–rail and vehicle–track interfaces, whilst also considering the economic costs and benefits of the different options. This paper focuses on the classification of the susceptibility to rail degradation in various parts of a mixed-traffic network using vehicle dynamics simulation. The metallurgical attributes of the currently available rail steels are summarised along with an assessment of the life-cycle costs and wider economic implications associated with selection of a rail steel which provides improved resistance to the key degradation mechanisms of rolling contact fatigue and wear. Overall, the proposed methodology, which incorporates engineering, metallurgical and economic assessments, provides guidance on the circumstances in which the introduction of alternative rail steels make sense (or not) from an economic perspective.

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“…In 2011, VTISM gained additional capability that allowed the assessment of wheelset management strategies by vehicle maintainers, passenger Train Operating Companies (TOCs), Freight Operating Companies and Rolling Stock Companies, 6 which was demonstrated in a whole-system (track and wheelsets) costing study of a diesel multiple unit fleet. 7 In 2012, VTISM supported the review of variable usage charge rates payable by GB railways passenger and freight operators in the regulatory control period for investment planning called CP5 (2014–2019). 8 In summary, VTISM aims to facilitate improvements on both sides of the interface, to promote track-friendly trains and train-friendly track .…”

Section: Vtism Development and Use Within The Gb Rail Industrymentioning

confidence: 99%

Track damage comparison between conventional and articulated trains operating on a Great Britain railways ‘classic’ mainline route and a high-speed route

Rhodes

Hunt

Harwood

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part F:

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The impact of train architecture and design characteristics on track deterioration accounts for a significant proportion of the whole-life costs of operating a railway. Introducing new train fleets with an expected life in excess of 30 years means that it is important to optimise train design to minimise track deterioration, maximise track life and realise long-term cost savings. Furthermore, higher traffic tonnage (from more frequent services) and increased train acceleration and speeds will cause increasing track deterioration rates; therefore, this issue is central to managing a sustainable railway in future. The track ‘friendliness’ of a train is determined by several ‘vehicle/track interaction’ parameters: train mass, axle load, number of axles, bogie unsprung mass, traction power, suspension ride forces and speed. The Vehicle/Track Interaction Strategic Model (VTISM) can be used to analyse the effect of these parameters on track forces and the resultant track deterioration and maintenance and renewal costs. This paper describes a study undertaken using the VTISM to investigate the impact of axle loads and train architecture on vertical deterioration and costs of ballasted track on a Great Britain railways ‘classic’ mainline route (up to 125 mph) and, following VTISM upgrading and validation, a high-speed route (up to 360 km/h). It identifies where potential cost advantages may be obtained when comparing conventional trains with new, alternative train architectures.

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Optimisation of wheelset maintenance using whole-system cost modelling

Cited by 19 publications

References 4 publications

Development and validation of a wheel wear and rolling contact fatigue damage model

Development and validation of a wheel wear and rolling contact fatigue damage model

Judicious selection of available rail steels to reduce life-cycle costs

Track damage comparison between conventional and articulated trains operating on a Great Britain railways ‘classic’ mainline route and a high-speed route

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