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2020
DOI: 10.1155/2020/3404208
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A Numerical Study of Railway Ballast Subjected to Direct Shearing Using the Discrete Element Method

Abstract: Railway ballast is a coarse granular material used to carry train loads and provide drainage for the rail tracks. This study presents numerical explorations of the mechanical performance of ballast aggregates subjected to direct shear tests. The discrete element method (DEM) was used to investigate the microscopic characteristics of ballast aggregates during shearing while considering contact distribution, particle rotation, and particle displacement. By testing the angle of repose of ballast aggregates, the p… Show more

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Cited by 5 publications
(3 citation statements)
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“…Complex calibration procedures were performed to operate the simulations. [32] Related to discrete element simulations, a lot of laboratory or field tests have to be conducted [33][34][35][36][37], these articles deal with the ballast, ballasted tracks as well as track-vehicle interaction. These kind of models can be simulated in sophisticated computer programs.…”
Section: Summary Of Recent Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Complex calibration procedures were performed to operate the simulations. [32] Related to discrete element simulations, a lot of laboratory or field tests have to be conducted [33][34][35][36][37], these articles deal with the ballast, ballasted tracks as well as track-vehicle interaction. These kind of models can be simulated in sophisticated computer programs.…”
Section: Summary Of Recent Resultsmentioning
confidence: 99%
“…Recent international literature [30][31][32] suggests that discrete element modelling will be indispensable for sophisticated modelling of granular sets in the future: both mechanically (micro as well as macro) and in terms of fragmentation.…”
Section: Discussionmentioning
confidence: 99%
“…e mechanical parameters of GCS like shear strength and deformation modulus can be affected by the packing characteristics. e shape index EI is set as the DEM [24] simulation variable to explore the influence of particle shape on packing properties, as shown in Figure 13(a). Considering the elongation variable, the GCS were selected and divided into 7 groups where EI is set from 0.4 to 1.0.…”
Section: Simulation Of Gravity Depositionmentioning
confidence: 99%