Railway Geotechnics

Li, Dingqing; Hyslip, James P.; Sussmann, Theodore R.; Chrismer, Steven M.

doi:10.1201/b18982

Cited by 151 publications

(184 citation statements)

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“…There are detailed case studies of deep seated railway embankment failures in the literature (e.g. Gellatley et al, 1995;Andrei, 2000;Martin, 2000;Birch & Dewar, 2002;O'Kelly, 2008;Li et al, 2014) and reports of ultimate limit embankment failures can be found in news articles, owing in part to the disruption caused to overlying railway traffic (e.g. Ground Engineering, 1995;Ground Engineering, 2014a, Ground Engineering, 2014b.…”

Section: The Design and Construction Of Highway And Railway Embankmentsmentioning

confidence: 99%

Failures in transport infrastructure embankments

Briggs

Loveridge

Glendinning

2017

Engineering Geology

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Section: The Design and Construction Of Highway And Railway Embankmentsmentioning

confidence: 99%

Failures in transport infrastructure embankments

Briggs

Loveridge

Glendinning

2017

Engineering Geology

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“…This is because the vertical stress during the loaded state is greater than the horizontal stress. The progressive volume change under repeated wheel loads that causes this vertical deformation can be summarised as a result of the following reasons (Selig & Waters 1994;Li et al 2016): ■ Particle rearrangement to form a more dense structure ■ Particle breakage causing smaller particles to move into voids ■ Cyclic mobility. Cyclic mobility refers to a decrease in volume of the soil under repeated loading.…”

Section: Materials Characteristicsmentioning

confidence: 99%

“…This is a result of accumulated strains with an increase in pore pressure. The increase in pore pressure results in a reduction of effective confining stress and therefore an increase in soil deformation (Selig & Waters 1994;Li et al 2016).…”

Section: Materials Characteristicsmentioning

confidence: 99%

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Centrifuge modelling of railway embankments under static and cyclic loading

Vorster¹

2017

J. S. Afr. Inst. Civ. Eng.

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With past embankment failures on the heavy haul coal export railway line between Ermelo and Richards Bay in South Africa, a study was conducted focusing on the modelling of embankments in a geotechnical centrifuge. This was done in order to investigate the influence of static and cyclic loading on settlement, and to evaluate the potential failure of the embankment under the loading conditions. The effect that moisture has on the slope stability was also investigated. A suitable loading system was developed that could be used to apply static and cyclic loading to a model embankment in the centrifuge. Embankment models representing a standard slope and using one material type with varying moisture content were built and tested in the centrifuge. Clayey sand material was sampled from one of the sites where a failure occurred on the coal line and was used for the tests. The loading system simulated the loading created by a heavy haul coal train with a 26 t per axle load along the length of an embankment. The results from the tests conducted in the geotechnical centrifuge indicated that settlement resulting from the cyclic loading was on average 67% higher than that of the static loading when considering loaded time. It was observed that the tests with increased moisture content exhibited significantly reduced stability. A completely developed slip surface failure was not observed. However, cracks formed at the crest of the embankment along its length, which indicated a downward shift of material. The research therefore concluded that cyclic loading on railway embankments increases permanent vertical settlement of the embankment compared to static loading. As the moisture content was increased for the different tests, there was a clear increase in crack development at the crest of the embankment along its length.

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“…As one of the major components of railway transportation systems, tracks have been the subject of increased engineering effort, not only in terms of design, manufacturing and deployment, but also with regard to monitoring and safety issues. As a consequence of the long-term strain on tracks due to the existing external forces [1,2], track degradation and breakage have become very important concerns. Breakage poses a great threat to railway transportation security; in the best cases it can cause train delays, but at worse it can lead to accidents and casualties.…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction for Track Section Status Classification Based on UGW Signals

Yuan

Yang

Hernández

et al. 2018

Sensors

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Track status classification is essential for the stability and safety of railway operations nowadays, when railway networks are becoming more and more complex and broad. In this situation, monitoring systems are already a key element in applications dedicated to evaluating the status of a certain track section, often determining whether it is free or occupied by a train. Different technologies have already been involved in the design of monitoring systems, including ultrasonic guided waves (UGW). This work proposes the use of the UGW signals captured by a track monitoring system to extract the features that are relevant for determining the corresponding track section status. For that purpose, three features of UGW signals have been considered: the root mean square value, the energy, and the main frequency components. Experimental results successfully validated how these features can be used to classify the track section status into free, occupied and broken. Furthermore, spatial and temporal dependencies among these features were analysed in order to show how they can improve the final classification performance. Finally, a preliminary high-level classification system based on deep learning networks has been envisaged for future works.

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Railway Geotechnics

Cited by 151 publications

References 0 publications

Failures in transport infrastructure embankments

Failures in transport infrastructure embankments

Centrifuge modelling of railway embankments under static and cyclic loading

Feature Extraction for Track Section Status Classification Based on UGW Signals

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