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<p>Accurate prediction of railway track behavior under train-induced loading is a fundamental prerequisite for effective infrastructure design and maintenance planning. This is particularly critical for high-speed rail (HSR), tunnels and critical zones such as bridge approaches where dynamic forces and long-term performance requirements pose significant engineering challenges. This article presents recent advancements in computational modeling techniques aimed at addressing these challenges. It begins with a review of analytical methods for evaluating track response under train-induced dynamic loads. A novel rheological modeling framework is then introduced to simulate the long-term behavior of railway tracks in critical zones such as normal track-bridge transitions. Subsequently, this framework is extended to evaluate the response of a tunnel-track system constructed in weak strata. Finally, the finite element method is utilized to compare the mechanical performance of ballasted and ballastless tracks, offering critical insights into optimal track system selection for HSR applications. The results reveal that the application of cellular synthetic inclusions can curtail the differential settlement at transition zones by 30‒43%. Furthermore, the tunnel-track system identifies a design threshold where increasing the invert thickness from 0.02&#xa0;m to 0.05&#xa0;m reduces the peak bending moment by approximately 23%. Under HSR cyclic loading conditions, ballastless tracks display 95% lower initial surface elastic displacement and a 26-fold reduction in long-term cumulative settlement compared to conventional ballasted tracks. The findings reported in this study contribute to a better understanding of the complex engineering challenges associated with modern rail infrastructure. Furthermore, they offer advanced predictive modeling tools essential for the design of resilient and sustainable railways in HSR corridors, urban metros, and critical transition zones.</p>

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Advanced Predictive Modeling Techniques for Railway Tracks in Critical Zones, Tunnels and High-Speed Rail Corridors

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月26日

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  • Sanjay Nimbalkar,
  • Hafsa Farooq,
  • Piyush Punetha,
  • Mohammad Adnan Farooq,
  • Bitang Zhu

摘要

Accurate prediction of railway track behavior under train-induced loading is a fundamental prerequisite for effective infrastructure design and maintenance planning. This is particularly critical for high-speed rail (HSR), tunnels and critical zones such as bridge approaches where dynamic forces and long-term performance requirements pose significant engineering challenges. This article presents recent advancements in computational modeling techniques aimed at addressing these challenges. It begins with a review of analytical methods for evaluating track response under train-induced dynamic loads. A novel rheological modeling framework is then introduced to simulate the long-term behavior of railway tracks in critical zones such as normal track-bridge transitions. Subsequently, this framework is extended to evaluate the response of a tunnel-track system constructed in weak strata. Finally, the finite element method is utilized to compare the mechanical performance of ballasted and ballastless tracks, offering critical insights into optimal track system selection for HSR applications. The results reveal that the application of cellular synthetic inclusions can curtail the differential settlement at transition zones by 30‒43%. Furthermore, the tunnel-track system identifies a design threshold where increasing the invert thickness from 0.02 m to 0.05 m reduces the peak bending moment by approximately 23%. Under HSR cyclic loading conditions, ballastless tracks display 95% lower initial surface elastic displacement and a 26-fold reduction in long-term cumulative settlement compared to conventional ballasted tracks. The findings reported in this study contribute to a better understanding of the complex engineering challenges associated with modern rail infrastructure. Furthermore, they offer advanced predictive modeling tools essential for the design of resilient and sustainable railways in HSR corridors, urban metros, and critical transition zones.