Ballast bed cleaning and recycling – influence on stability of continuously welded rail track

Ciotlăuș, Mădălina; Köllő, Gavril

doi:10.1016/j.promfg.2018.03.045

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…A typical case of those lines in railway environments is the ballast top and bottom lines. The ballast maintenance is fundamental to distribute the dynamic loads from the vehicle to the embankment and to ensure the track stability, and the ballast cross-section (profile) it is critical to do that maintenance [28,35,36]. As a way to model the ballast surface and create consecutive ballast cross-sections, it is necessary to design the top and bottom ballast break-lines.…”

Section: Ballast Top and Bottom Break-linesmentioning

confidence: 99%

Automated Three-Dimensional Linear Elements Extraction from Mobile LiDAR Point Clouds in Railway Environments

Gézero

Antunes

2019

Infrastructures

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The railway structures need constant monitoring and maintenance to ensure the train circulation safety. Quality information concerning the infrastructure geometry, namely the three-dimensional linear elements, are crucial for that processes. Along with this work, a method to automated extract three-dimensional linear elements from point clouds collected by terrestrial mobile LiDAR systems along railways is presented. The proposed method takes advantage of the stored cloud point's attributes as an alternative to complex geometric methods applied over the point's cloud coordinates. Based on the assumption that the linear elements to extract are roughly parallel to the rail tracks and therefore to the system trajectory, the stored scan angle value was used to restrict the number of cloud points that represents the linear elements. A simple algorithm is then applied to that restricted number of points to get the three-dimensional polylines geometry. The obtained values of completeness, correctness and quality, validate the use of the methodology for linear elements extraction from mobile LiDAR data gathered along railway environments.Infrastructures 2019, 4, 46 2 of 15 the need for pedestrian access to the railway, while gathering dense and precise information of the railway surrounding area. There are essentially two MLS installation solutions to collect the point clouds along the railway: mounted directly on the train or mounted on a car transported by the train. Despite the different advantages and disadvantages of those different solutions, there are no significant accuracy differences in the obtained cloud points [1].However, the MLS gathered point clouds are non-selective, i.e., they represent all of the elements in the sensor surrounding at a given moment, without any sort of classification. This makes it impossible to distinguish between points that represent the ground, vegetation, poles, rail tracks, persons or any other object within the sensor range. It is then the necessary method's implementation that allows an efficient classification of the points that represents a specific object among the millions of the cloud points.In last few years, the use of LiDAR data has progressively increased, and several studies have been published where this type of data are used for railway infrastructures monitoring, such as tunnels [2,3], railway gauge [1], railway bridges [4], rail surface monitoring and quality indexing [5] and rail surface defect detection [6]. Some studies have focused on extracting point elements from MLS data, like catenary systems [7], poles [8], trees [9] and traffic signals [10]. In [11], previous existing algorithms are adapted to extract several nonlinear objects from the railway environments, namely buildings [12], electric poles and vertical signals [13], trees [14] and ground points [15].Regarding linear elements extraction, the automatic extraction of railway tracks lines is clearly the most recurrent subject in the existing bibliography about the use of MLS point clouds in railway envir...

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Section: Ballast Top and Bottom Break-linesmentioning

confidence: 99%

Automated Three-Dimensional Linear Elements Extraction from Mobile LiDAR Point Clouds in Railway Environments

Gézero

Antunes

2019

Infrastructures

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“…In order to behave as designed, it has to be resistant to the environmentally induced degradation processes, such as erosion or clogged rainwater culvert. To prevent the unwanted corollaries, the ballast bed has to be periodically cleaned by an appropriate machinery [16][17][18][19]. Such bed ballast cleaning machine-despite having a complex design features-can be reduced to following sub-structures: the drive, control unit (with operator), rail track guideway, excavating unit, ballast transport unit, screening unit and reclaimed ballast placing unit [20].…”

Section: Introductionmentioning

confidence: 99%

The Role of Chemical Composition of High-Manganese Cast Steels on Wear of Excavating Chain in Railway Shoulder Bed Ballast Cleaning Machine

2021

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The main task for a ballast bed is to transmit the sleeper pressure in a form of stress cone to the subsoil, provide proper drainage and resist the sleeper displacement. Poorly maintained ballast could severely limit the maximum speed capacity and create further problems with the structural integrity, possibly leading to a complete failure of a given rail line. To prevent the unwanted corollaries, the ballast bed has to be periodically cleaned with an appropriate machinery. In this paper the authors investigated the effect of the chemical composition on the physical properties of the ballast excavating chains made of high-manganese steels. The authors focused on the wear mechanism, work hardening ability and hardness in the cross-sections areas. A microstructure analysis was performed as well, and observations revealed divergent morphology of precipitations at the grain boundaries, which influenced the size of austenite grains. The deformation twins formed as a result of operation were noticed in the samples. Research has shown that less carbon and chromium reduces the hardness of cast steel, and it specifically affects the ability to strain hardening. The authors explained the role of adjustments in chemical composition in the operational properties of high-manganese cast steels. It has been shown in the paper that different chemical compositions affect the properties of the alloys, and this causes different types of wear. The high content of chromium increases the hardness of materials before and after plastic deformation hardening, which in the conditions of selector chains results in greater dimensional stability during wear of holes in pin joints and will be more susceptible to abrasive wear in the presence of dusts from the ballast than creep.

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Arrangement of the Continuous Welded Rail on the Curved Tracks of Short Radius

Tverdomed¹,

Tkachenko²,

Sapronova³

et al. 2020

Lecture Notes in Intelligent Transportation and Infrastructure

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Ballast bed cleaning and recycling – influence on stability of continuously welded rail track

Cited by 4 publications

References 5 publications

Automated Three-Dimensional Linear Elements Extraction from Mobile LiDAR Point Clouds in Railway Environments

Automated Three-Dimensional Linear Elements Extraction from Mobile LiDAR Point Clouds in Railway Environments

The Role of Chemical Composition of High-Manganese Cast Steels on Wear of Excavating Chain in Railway Shoulder Bed Ballast Cleaning Machine

Arrangement of the Continuous Welded Rail on the Curved Tracks of Short Radius

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