2021
DOI: 10.3846/jcem.2021.14903
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Numerical Modelling of Thermal Regime of Railway Track - Structure With Thermal Insulation (Styrodur)

Abstract: This paper presents the results of numerical modelling of the influence of various factors (geometrical layout of the structural layers of the railway track, climatic factors and ballast fouling) on the freezing of railway track structure with a built-in thermal insulation layer of extruded polystyrene (Styrodur). At the same time, the suitability and expediency of incorporating the thermal insulation layer at the sub-ballast upper surface level (i.e. below the rail ballast construction layer), or at the level… Show more

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Cited by 6 publications
(17 citation statements)
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“…The difference between the values determined by the experimental and numerical methods is 0.002 m, which is a negligible difference with respect to the methodology of design of the structural sub-ballast layers of the railway line [ 100 ]. Moreover, the obtained accuracy of recreating the measurement results in the numerical model is the same as for other railway track substructure–subsoil systems [ 7 ] and consistent with previous observations [ 109 ]. Therefore, the model can be considered validated.…”
Section: Resultssupporting
confidence: 85%
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“…The difference between the values determined by the experimental and numerical methods is 0.002 m, which is a negligible difference with respect to the methodology of design of the structural sub-ballast layers of the railway line [ 100 ]. Moreover, the obtained accuracy of recreating the measurement results in the numerical model is the same as for other railway track substructure–subsoil systems [ 7 ] and consistent with previous observations [ 109 ]. Therefore, the model can be considered validated.…”
Section: Resultssupporting
confidence: 85%
“…The obtained temperature for the greatest freezing depth of the structural layers of the railway line achieved (5 March 2018; TIME = 429 day) was lower than for railway substructure solution with XPS layer (28 January 2019; TIME = 393 day) [ 7 ], but this is because in this study, the daily temperatures were lower (in this study, it was −1.1 °C, while Ižvolt et al [ 7 ] assumed −0.4 °C). Another aspect is that, in this study, a high thermal conductivity coefficient was adopted for foam concrete compared to XPS [ 7 ], but it was caused by taking into account the actual ground conditions (moisture in the ground) and thus higher values of the thermal conductivity coefficient. The influence of humidity on the thermal conductivity coefficient of foam concrete is the subject of the present authors’ research.…”
Section: Resultsmentioning
confidence: 99%
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