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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Andrade, A. R. & Teixeira, P. F. (2011). Uncertainty in rail-track geometry degradation: Lisbon-Oporto line case study. Journal of Transportation Engineering. 137 (3), 193-200
Exportar Referência (IEEE)
A. R. Andrade and P. F. Teixeira,  "Uncertainty in rail-track geometry degradation: Lisbon-Oporto line case study", in Journal of Transportation Engineering, vol. 137, no. 3, pp. 193-200, 2011
Exportar BibTeX
@article{andrade2011_1766246848829,
	author = "Andrade, A. R. and Teixeira, P. F.",
	title = "Uncertainty in rail-track geometry degradation: Lisbon-Oporto line case study",
	journal = "Journal of Transportation Engineering",
	year = "2011",
	volume = "137",
	number = "3",
	doi = "10.1061/(ASCE)TE.1943-5436.0000206",
	pages = "193-200",
	url = "http://ascelibrary.org/doi/10.1061/%28ASCE%29TE.1943-5436.0000206"
}
Exportar RIS
TY  - JOUR
TI  - Uncertainty in rail-track geometry degradation: Lisbon-Oporto line case study
T2  - Journal of Transportation Engineering
VL  - 137
IS  - 3
AU  - Andrade, A. R.
AU  - Teixeira, P. F.
PY  - 2011
SP  - 193-200
SN  - 0733-947X
DO  - 10.1061/(ASCE)TE.1943-5436.0000206
UR  - http://ascelibrary.org/doi/10.1061/%28ASCE%29TE.1943-5436.0000206
AB  - This paper analyzes rail-track geometry degradation and uncertainty related to the phenomenon on the basis of the inspection of car records from recently upgraded sections of the Lisbon-Oporto line. Statistical analysis is performed distinguishing four groups of track sections based on the features of the infrastructure. For each group of track sections, lognormal distributions are fitted to track geometry degradation parameters. Moreover, important correlations between degradation parameters are explored, so that the assessment of the maintenance cycles of future upgraded lines can integrate them through simulation. Spatial linear correlations between degradation parameters are also explored, and some that may influence life-cycle maintenance, renewal, and unavailability costs are highlighted.
ER  -