Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning. [PDF]
Sresakoolchai J, Kaewunruen S.
europepmc +1 more source
Discrete element modeling of the effect of real-shape ballast angularity on sleeper lateral resistance. [PDF]
Chalabii J, Nagy R, Movahedi Rad M.
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Frost heave behavior of coarse-grained materials for high-speed railways subgrade: experimental analysis and machine learning predictive modeling. [PDF]
Li S +7 more
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Analysis of the Influence of Fatigue Strength of Prototype Under Ballast Mats (UBMs) on the Effectiveness of Protection against Vibration Caused by Railway Traffic. [PDF]
Kraśkiewicz C +3 more
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Track ballast modelling by discrete element method
An increase in axle load and travel speed causes faster degradation of track structure and, hence, of the ballast prism. Crushing of stone grains in ballast due to excessive contact forces among these grains causes degradation in the form of filling of voids and, in turn, in poorer drainage, which can cause structural failure.
openaire +1 more source
Mechanical Modelling of Static Hysteresis in Under Ballast Mats Using a Novel Rheological Approach. [PDF]
Zbiciak A +4 more
europepmc +1 more source
Investigating Morphology and Breakage Evolution Characteristics of Railroad Ballasts over Distinct Supports Subjected to Impact Loading. [PDF]
Xiao Y +7 more
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Evaluation of Ballasted Railway Track Response in Potentially Critical Areas Using Vibration Measurements. [PDF]
Uranjek M, Štrukelj A.
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Nonlinear buckling analysis of curved railway tracks considering unbalanced cant and train speed. [PDF]
Chuadchim P +4 more
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Digital twins for managing railway maintenance and resilience. [PDF]
Kaewunruen S, Sresakoolchai J, Lin YH.
europepmc +1 more source

