Modeling Tamping Recovery of Track Geometry Using the Copula-Based Approach
| 项目名称： | Modeling Tamping Recovery of Track Geometry Using the Copula-Based Approach |
| 摘要： | Assessing and maintaining track geometry within acceptable limits are key components of railroad infrastructure maintenance operations. Track geometry conditions have a significant influence on rider comfort and safety. To maintain the ride quality and safety of the track, maintenance activities pertaining to track geometry, such as tamping, are performed. Tamping enhances the track geometry quality but fails to return the track geometry to an as-good-as-new condition. Majority of studies have evaluated tamping recovery using deterministic techniques, which assume that tamping recovery is dependent on the track geometry quality prior to tamping. However, they fail to capture the uncertainty of the recovery values. Probabilistic approaches are increasingly being used to account for the uncertainty but fail to model the underlying dependence between the variables, which may exhibit nonlinear dependencies such as tail or asymmetric dependence. To accurately model the tamping recovery phenomenon, this research conducted by University of Delaware employs the copula models in combining arbitrary marginal distributions to form a joint multivariate distribution with the underlying dependence. Copula models are used to estimate the tamping recovery of track geometry parameters such as surface (longitudinal level), alignment, cross level, gage, and warp. The results of this study showed that the after tamping recovery (correction) of the track does not behave like a traditional two-parameter normal distribution but rather has a distinct distribution (a three-parameter log-normal distribution) which can be used to better predict the results of the track tamping operations. Similarly, non-normal, behavior was also observed for the track quality condition before and after tamping. |
| 状态： | Active |
| 资金： | 75000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | University of Delaware, Newark |
| 执行机构： | University of Delaware, Newark |
| 主要研究人员： | Attoh-Okine, Nii |
| 开始时间： | 20170101 |
| 预计完成日期： | 20190831 |
| 实际结束时间： | 0 |
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