Investigation of the Settlement Behavior of Ballasted Railway Tracks Due to Dynamic Loading

This study investigates the settlement behavior of ballasted railway tracks under dynamic loading, providing a comprehensive evaluation of track deterioration models using extensive field data. Leveraging regression analysis, the research examines logarithmic and exponential settlement trends based on operational conditions and highlights key influences, such as ballast compactness and maintenance interventions. Validated against historical ORE (Research and Testing Office) studies, the results suggest refinements in constants to better predict contemporary track behavior. The integration of advanced computational and experimental techniques is proposed to improve model accuracy, ensuring effective maintenance planning and enhanced track durability.

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Publication Details

Journal
Spectrum of Mechanical Engineering and Operational Research.
Published
2024-12-22
DOI
https://doi.org/10.31181/smeor21202528
Citations
47
Primary Topic
Civil and Geotechnical Engineering Research
Type
article
Field-Weighted Citation Impact
35.88
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article

Investigation of the Settlement Behavior of Ballasted Railway Tracks Due to Dynamic Loading

Szabolcs Fischer
47 citations
Spectrum of Mechanical Engineering and Operational Research.
Civil and Geotechnical Engineering Research
35.88
article

Investigation of the Settlement Behavior of Ballasted Railway Tracks Due to Dynamic Loading

Szabolcs Fischer
article en
47 citations

Abstract

This study investigates the settlement behavior of ballasted railway tracks under dynamic loading, providing a comprehensive evaluation of track deterioration models using extensive field data. Leveraging regression analysis, the research examines logarithmic and exponential settlement trends based on operational conditions and highlights key influences, such as ballast compactness and maintenance interventions. Validated against historical ORE (Research and Testing Office) studies, the results suggest refinements in constants to better predict contemporary track behavior. The integration of advanced computational and experimental techniques is proposed to improve model accuracy, ensuring effective maintenance planning and enhanced track durability.

Spectrum of Mechanical Engineering and Operational Research.Vol. 2(1)
Széchenyi István University (HU)
Sustainable cities and communities
Openalex Percentile: Top 0%
Civil and Geotechnical Engineering Research
35.88
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