Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/92004| Author(s): | Cecília Vale Maria de Lurdes Simões |
| Title: | Stochastic model for the geometrical rail track degradation process in the Portuguese railway Northern Line |
| Issue Date: | 2013 |
| Abstract: | The geometrical track degradation is characterized by the evolution over time (or tonnage) of several parameters such as the longitudinal level, the alignment, the gauge, the twist and the cross level. Dynamic track inspections allow monitoring the track geometrical quality which is essential to ensure track availability and reliability, passenger safety and comfort and also energy efficiency. The track geometrical quality is guaranteed by performing condition-based maintenance and renewal actions during the life of the track and for that it is crucial to understand the geometrical track degradation process. In this paper, a stochastic model for characterizing the geometrical track degradation process over time is presented. The Portuguese railway Northern Line is adopted as a case-study and a statistic analysis is performed for different vehicle speed groups, in accordance with CEN [1]. The new contribution of this research is that the Dagum distribution, usually adopted for representing the income distribution, may represent the geometrical track degradation process in terms of the longitudinal level. |
| Subject: | Engenharia civil, Engenharia civil Civil engineering, Civil engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia civil Engineering and technology::Civil engineering |
| DOI: | 10.1016/j.ress.2013.02.010 |
| URI: | https://hdl.handle.net/10216/92004 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | restrictedAccess |
| Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 64215.pdf Restricted Access | 523.38 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.