Spatial-temporal evolution prediction of train-induced settlement in railway transition zone using a simplified iterative framework
Article
| Article Title | Spatial-temporal evolution prediction of train-induced settlement in railway transition zone using a simplified iterative framework |
|---|---|
| ERA Journal ID | 1295 |
| Article Category | Article |
| Authors | Peng, Borong, Van Dalen, Karel N., Li, Zheng, Kaewunruen, Sakdirat, Xu, Lei, Shiau, Jim and Lu, Tao |
| Journal Title | Journal of Sound and Vibration |
| Journal Citation | 619 |
| Article Number | 119360 |
| Number of Pages | 34 |
| Year | 2025 |
| Publisher | Elsevier |
| Place of Publication | United Kingdom |
| ISSN | 0022-460X |
| 1095-8568 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jsv.2025.119360 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0022460X2500433X |
| Abstract | Accurate prediction of train-induced settlement in railway transition zones is of paramount importance for ensuring the safety and serviceability of high-speed railway (HSR) infrastructure. The inherent complexity of mechanical properties and settlement distribution in these zones stems from the significant stiffness variation between different track structures. This study presents a novel iterative framework for long-term settlement prediction specifically tailored to ballastless track transition zones of HSR systems. The framework couples a dynamic Train-Track-Transition Zone (TTTZ) model with a plastic strain prediction model for soil, enhanced by a jump-step iterative algorithm that improves computational efficiency while maintaining accuracy. The model's validity has been verified through comprehensive comparisons with in-situ measurements and existing analytical solutions. Numerical results demonstrate that the iterative updating of track irregularities is crucial for accurate settlement prediction, as it accounts for the time-dependent dynamic characteristics of the TTTZ system. Furthermore, a wavelet transform-short energy method is developed to identify high-density vibration energy distributions in the spatial domain, establishing a robust correlation between dynamic responses and settlement evolution. This study underscores the importance of iterative modeling and advanced time-frequency analysis in settlement prediction and track quality assessment, offering valuable insights for the design, maintenance, and evaluation of HSR transition zones. |
| Keywords | Transition zone; Settlement prediction; Train-track-substructure interaction; Time-frequency analysis |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Central South University, China |
| Delft University of Technology, Netherlands | |
| University of Birmingham, United Kingdom | |
| School of Engineering | |
| Southwest Jiaotong University, China |
https://research.usq.edu.au/item/zz5v7/spatial-temporal-evolution-prediction-of-train-induced-settlement-in-railway-transition-zone-using-a-simplified-iterative-framework
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