2018
DOI: 10.1016/j.compgeo.2017.10.011
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Novel discrete element modeling coupled with finite element method for investigating ballasted railway track dynamics

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Cited by 37 publications
(20 citation statements)
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“…track subsidence At present, a large number of models, from simple phenomenological models to complex finite element and discrete element models are presented for calculating deformation processes in the ballast layer. The complex models (Nielsen 2018, Nishiura at al. 2018, Miguel at al.…”
Section: The Present Phenomenological Models Ofmentioning
confidence: 99%
“…track subsidence At present, a large number of models, from simple phenomenological models to complex finite element and discrete element models are presented for calculating deformation processes in the ballast layer. The complex models (Nielsen 2018, Nishiura at al. 2018, Miguel at al.…”
Section: The Present Phenomenological Models Ofmentioning
confidence: 99%
“…Earlier studies have shown the feasibility of the DEM in evaluating the ballast performance [26][27][28][29][30][31][32]. However, there still exist some aspects for improvement.…”
Section: Introductionmentioning
confidence: 99%
“…erefore, to address the coupling dynamics, many scholars, e.g., Gao and Xu [20] and Ngo et al [21], built the numerical model of the granular ballast soil subgrade based on the coupling algorithm of discrete element and finite difference, analyzed the interface stress of its interaction, and verified the correctness of the model through the field measurement results. Dowding and Gilbert [22], Michael et al [23], and Nishiura et al [24] established the coupling models of the bulk track bed and track structure by means of the coupling method of discrete element and finite element to study the mechanical characteristics of the ballasted track. e coupling of the discrete element, the finite element, and the finite difference method provides a new method for studying the interaction between the ballast and the track structure.…”
Section: Introductionmentioning
confidence: 99%