Work

Dynamic Analysis and Balancing of Railway Tracks Supported by Concrete Sleepers

Year: 2025
Type: article
Abstract: Purpose: This study aims to improve the design to prevent vibration and improve railway performance by examining the behaviour of the railway track supported by a concrete sleeper. Design/Methodology/Approach: The simulation for dynamic stresses has been carried out using Finite element modelling and analysis for the track-sleeper system's dynamic response. The frequencies and responses are obtained using modal and harmonic analysis with the help of ANSYS, a standard FEA software. In experimental validation, the finite element analysis results were compared to the actual track vibration behaviour at a train speed of 120 km/h. Findings: The research shows that optimising the design and composition of concrete sleepers could greatly diminish vibrations and more evenly distribute loads. The results are improved structural performance, less maintenance required, and more stable tracks. The results emphasise the significance of concrete sleeper design in reducing track dynamic loads. Research Limitation: This research is constrained because it considers only trains running at a maximum velocity of 120km/h. Practical Implication: Improving the technology of the precast concrete sleeper can also reduce track vibrations, decrease maintenance costs, and increase the service life of railway infrastructure. Social Implication: An efficient rail network helps switch to cleaner transportation systems, especially in densely populated urban areas. Originality/Value: By integrating finite element modelling (FEM) with experimental validation, this study thoroughly evaluates the dynamic behaviour of rails supported by concrete sleepers. It sheds novel ways on the track-sleeper interaction, showing how design optimisation can improve performance while decreasing operating costs, which is suitable for railway engineering and sustainable infrastructure.
Language: English
Open Access status: diamond
OpenAlex ID: W4406583545
FWCI: 1.059
Cites: 11
Cited by: 5
Related to: 10