Novel performance-based technique for predicting maintenance strategy of bitumen stabilised ballast

D’Angelo, Giacomo; Bressi, Sara; Giunta, Marinella; Presti, Davide Lo; Thom, Nick

doi:10.1016/j.conbuildmat.2017.11.115

Cited by 33 publications

(17 citation statements)

References 18 publications

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“…There are five measurable track parameters ( Figure 2); vertical alignment (top), horizontal alignment (line), cant, gauge and twist. Standards describe each parameter and prescribe minimum and maximum allowable values for these parameters based on the type of railway line [4]. The alignments are evaluated along a space domain called wavelength λ.…”

Section: Measurable Track Geometry Parametersmentioning

confidence: 99%

“…and maximum allowable values for these parameters based on the type of railway line [4]. The alignments are evaluated along a space domain called wavelength λ.…”

Section: Measurable Track Geometry Parametersmentioning

confidence: 99%

“…Specific performance requirements are strictly related to track geometry quality. Track irregularities are periodically measured and registered with a frequency that depends on factors like line speed and tonnage [4].…”

Section: Introductionmentioning

confidence: 99%

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Detecting Embankment Instability Using Measurable Track Geometry Data

Kite¹,

Siino²,

Audley³

2020

Infrastructures

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The British railway system is the oldest in the world. Most railway embankments are aged around 150 years old and the percentage of disruption reports that feature them is frequently higher than other types of railway infrastructure. Remarkable works have been done to understand embankment deterioration and develop asset modelling. Nevertheless, they do not represent a sufficient way of managing assets in detail. As a result, reactive approaches combined with proactive ones would improve the whole asset management scenario. To guarantee good system performance, geotechnical asset management (GAM) aims to reduce uncertainty through informed, data driven decisions and optimisation of resources. GAM approaches are cost sensitive. Thus, data driven approaches that utilize existing resources are highly prized. Track geometry data has been routinely collected by Network Rail, over many years, to identify track defects and subsequently plan track maintenance interventions. Additionally, in 2018 Network Rail commissioned AECOM to undertake a study, described in this paper, to investigate the use of track geometry data in the detection of embankment instabilities. In this study, track geometry data for over 1800 embankments were processed and parameters offering the best correlation with embankment movements were identified and used by an algorithm to generate an embankment instability metric. The study successfully demonstrated that the instability of railway embankments is clearly visible in track geometry data and the metric gives an indication of the worsening of track geometry, that is likely due to embankment instability.

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Section: Measurable Track Geometry Parametersmentioning

confidence: 99%

“…and maximum allowable values for these parameters based on the type of railway line [4]. The alignments are evaluated along a space domain called wavelength λ.…”

Section: Measurable Track Geometry Parametersmentioning

confidence: 99%

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Detecting Embankment Instability Using Measurable Track Geometry Data

Kite¹,

Siino²,

Audley³

2020

Infrastructures

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“…surroundings of rail welts, rail joints, as well as switch frogs where higher ballast breakage should be expected [27,28,29,30,31,32]. Rubber coated and bitumen stabilised ballast particles hinder the geometric deterioration of railway track and ballast breakage [43,44,45], in detailed analysis it can be considered. DEM simulations with particle flow code software (e.g.…”

Section: Summary Outlook Future Scopementioning

confidence: 99%

Railroad Ballast Particle Breakage with Unique Laboratory Test Method

Fischer

Juhász

2019

Acta Tech Jaur

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This paper demonstrates the results in the research topic of the railway ballast particles’ breakage test with unique laboratory test. The most railway lines in the world have so called traditional superstructure (ballasted tracks). In the past few years there were a lot of railway rehabilitation projects in Hungary, as well as abroad. Nowadays cannot be expected that there is enough quantity of railway ballast in adequate quality, because of the modifications and restrictions in the related regulations in Hungary since 2010. In Hungary there are only a few quarries which are able to ensure adequate railway ballast material for construction and maintenance projects for speed values between 120 and 160 km/h. This may cause supply and quality risk in production of railway ballast. The authors’ research’s main goal is to be able to simulate the stress-strain effect of ballast particles in real and objective way in laboratory conditions as well as in discrete element modelling.

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“…The type of ballast is an important influencing factor in geometry degradation models. If, for example, the ballast is stabilized by bitumen, 59,60 or the sleepers are supported by pads, 61 then the rate of geometry degradation decreases. Besides the effect of type of ballast on geometry degradation, the impact of other factors including type of rail, pads, sleepers, subgrade stiffness, imperfections in the rail surface (corrugations, joints, welds, defects), weather condition, wheel quality (flats and shells), and history of tamping has also been studied.…”

Section: Introductionmentioning

confidence: 99%

An integrated methodology for the prognosis of ballast degradation in railway turnouts

Asadzadeh

Galeazzi

2019

Proceedings of the Institution of Mechanical Engineers, Part F:

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This study proposes an integrated methodology for modelling and predicting ballast degradation in turnouts by exploiting loaded track geometry data. The rate of increase in track irregularities with respect to the cumulative loading of the track is the index of ballast degradation to be predicted. The methodology combines the fractal analysis method with probabilistic modeling and Bayesian inference to design a prognostic tool that forecasts the expected ballast degradation rate over a period of three months. The foundation of the proposed method is a universal degradation model for the ballast in turnouts, which fuses technological, operational, and environmental information to prognose the rate of ballast deterioration. The methodology has been verified on 15 different turnouts of the Danish railway infrastructure.

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Novel performance-based technique for predicting maintenance strategy of bitumen stabilised ballast

Cited by 33 publications

References 18 publications

Detecting Embankment Instability Using Measurable Track Geometry Data

Detecting Embankment Instability Using Measurable Track Geometry Data

Railroad Ballast Particle Breakage with Unique Laboratory Test Method

An integrated methodology for the prognosis of ballast degradation in railway turnouts

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