دانلود مقاله ISI انگلیسی شماره 1579
عنوان فارسی مقاله

مدل های بیزی برای ارزیابی تخریب هندسی مسیر راه آهن از طریق چرخه عمر آن

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
1579 2012 8 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A Bayesian model to assess rail track geometry degradation through its life-cycle
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Research in Transportation Economics, Volume 36, Issue 1, September 2012, Pages 1–8

کلمات کلیدی
مدل های بیزی - تخریب مسیر راه آهن - چرخه عمر - هزینه های تعمیر و نگهداری - عدم قطعیت
پیش نمایش مقاله
پیش نمایش مقاله مدل های بیزی برای ارزیابی تخریب هندسی مسیر راه آهن از طریق چرخه عمر آن

چکیده انگلیسی

One of the major drawbacks in rail track investments is the high level of uncertainty in maintenance, renewal and unavailability costs for the Infrastructure Managers (IM) during the life-cycle of the infrastructure. Above all, rail track geometry degradation is responsible for the greatest part of railway infrastructure maintenance costs. Some approaches have been tried to control the uncertainty associated with rail track geometry degradation at the design stage, though little progress has improved the investors' confidence. Moreover, many studies on rail track life-cycle cost modelling tend to forget the dynamic perspective in uncertainty assessments and do not quantify the expected reduction of the uncertainty associated with degradation parameters as more inspection data is collected after operation starts. In this paper, a Bayesian model to assess rail track geometry degradation is put forward, building up a framework to update the uncertainty in rail track geometry degradation throughout its life-cycle. Using inspection data from Lisbon-Oporto line, prior probability distributions are fitted to the model parameters quantifying the associated uncertainty at the design stage, and then they are sequentially updated as more inspection data becomes available when operation starts. Uncertainty reduction in geometry degradation parameters is then assessed by computing their posterior probability distributions each time an inspection takes place. Finally, the results show that at the design stage, the uncertainty associated with degradation rates is very high, but it reduces drastically as more inspection data is collected. Significant impacts on the definition of maintenance cost allocation inside railway business models are discussed, especially for the case of Public and Private Partnerships. Moreover, potential impacts of this methodology in maintenance contracts are highlighted. For the case of a new infrastructure, it is proposed that maintenance costs assessments related to track geometry degradation are no longer assessed at the design stage based only on the prior probability distributions of the degradation model parameters, but renegotiated instead after a ‘warm-up’ period of operation based on their posterior probability distributions.

خرید مقاله
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