Evolution of track geometric quality in high-speed lines: Ten years experience of the Madrid-Seville line

López-Pita, Andrés; Teixeira, Paulo Fonseca; Casas, C.; Ubalde, Luis; Robusté, Francesc

doi:10.1243/0954409jrrt62

Cited by 27 publications

(17 citation statements)

References 2 publications

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“…An important contribution was given in [12] for the case of a Spanish high speed railway line, identifying the embankment height as a dependent variable on the density of maintenance works, though the study analyses the past tamping actions and vertical accelerations rather than the track geometry records themselves. In that sense, that work is analysing the 'outputs' of maintenance decisions, rather than their inputs (i.e.…”

Section: -State Of the Artmentioning

confidence: 99%

Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

Andrade

Teixeira

2015

Reliability Engineering & System Safety

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Railway maintenance planners require a predictive model that can assess the railway track geometry degradation.The present paper uses a hierarchical Bayesian model as a tool to model the main two quality indicators related to railway track geometry degradation: the standard deviation of longitudinal level defects and the standard deviation of horizontal alignment defects. Hierarchical Bayesian Models (HBM) are flexible statistical models that allow specifying different spatially correlated components between consecutive track sections, namely for the deterioration rates and the initial qualities parameters. HBM are developed for both quality indicators, conducting an extensive comparison between candidate models and a sensitivity analysis on prior distributions. HBM is applied to provide an overall assessment of the degradation of railway track geometry, for the main Portuguese railway line Lisbon-Oporto.

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Section: -State Of the Artmentioning

confidence: 99%

Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

Andrade

Teixeira

2015

Reliability Engineering & System Safety

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“…This has an important effect in slowing down the deterioration process over the track's service life [1]. Indeed, the sub-ballast's role in reducing the seasonal amplitude of vertical displacements during its lifetime decreases the maintenance interventions, not only in the smooth parts of the track lines [2] but also in the transition sections (bridge-embankment) [3]. Moreover, the bituminous sub-ballast plays an important role in distributing the load and reducing the solicitations on the subgrade.…”

Section: Bituminous Sub-ballastmentioning

confidence: 99%

Optimization of the Mix-Design System for the Sub-ballast Railroad

Mino¹,

Soto²

2017

JTTE

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Bituminous sub-ballast is an alternative solution to the unbound granular sub-ballast used in the railway track due to several benefits that it can provide. Indeed, it contributes to maintain the moisture content in the subgrade unchanged during all year. This decreases the subgrade deterioration process. Moreover, the presence of bituminous sub-ballast can also reduce vertical stiffness variations on the track; it can have a positive effect in the maintenance needs at transition sections (bridge-embankment) and in the attenuation of the vibrations induced by the rail traffic. Despite the importance of the presence of the bituminous sub-ballast to conceive the construction and/or rehabilitation of sustainable infrastructure, in literature, there are only fragmentary information regarding the definition of benchmark criteria for their mix design. The superpave mix design approach used in road domain is applied systematically in the railway domain, without being adjusted for different load configuration of the rail track system. This research work aims at defining the benchmark criteria for the bituminous sub-ballast mix design to reduce the approximations involved in the recipe optimization due to the limitation of applying the superpave system in the railway domain. The methodology proposed aims at selecting the RESAL (rail equivalent single axle load) and therefore, transforming the entire traffic spectrum on the track lines in number of ESALs. Afterwards, the N design has been calculated as function of the rail traffic level. Finally, a case study of bituminous sub-ballast mix design has been investigated for a first verification of the methodology proposed.

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“…An important contribution was given in Lopez-Pita et al 18 for the case of a Spanish high-speed rail line; they identified the embankment height as being a dependent variable on the density of maintenance works, though the study analysed the past tamping actions and vertical accelerations rather than the track geometry records themselves. In that sense, that work analyses the 'outputs' of maintenance decisions, rather than their inputs (i.e.…”

Section: Statistical Modelling Of Rail Track Geometrymentioning

confidence: 99%

Hierarchical Bayesian modelling of rail track geometry degradation

Andrade

Teixeira

2013

Proceedings of the Institution of Mechanical Engineers, Part F:

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This paper explores hierarchical Bayesian models that can be used to predict rail track geometry degradation and thus guide planning maintenance and renewal actions. Hierarchical Bayesian models allow great flexibility in their specification, especially if they are combined with conditional autoregressive terms that can take into account spatial dependencies between model parameters. For rail track geometry degradation, conditional autoregressive terms are specified to tackle spatial interactions between consecutive rail track sections in rail track lines. An analysis of inspection, operation and maintenance data from the main Portuguese line (Lisbon-Oporto) motivates and illustrates the proposed predictive models. Inference is then conducted based on Markov Chain Monte Carlo (MCMC) simulation, which is proposed for fitting different model specifications. Finally, model comparison and a sensitivity analysis on prior distribution parameters are assessed.

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Evolution of track geometric quality in high-speed lines: Ten years experience of the Madrid-Seville line

Cited by 27 publications

References 2 publications

Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

Optimization of the Mix-Design System for the Sub-ballast Railroad

Hierarchical Bayesian modelling of rail track geometry degradation

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