Modelling extreme wind speeds in the context of risk analysis for high speed trains

نویسنده

  • T. Payer
چکیده

For high speed trains there is a potential risk of derailment when driving very fast and being hit by an extraordinary strong gust at the same time. The risk depends on both the wind speed and the angle between train and gust. Several techniques have been established to minimize this risk to acceptable values. To decide which of these techniques at a given site is most appropriate, precise knowledge of the wind process at extreme levels is necessary. Therefore methods adapted to the special requirements of the application are needed. We discuss directional modelling using an approach proposed by Coles and Walshaw [2]. We focus on estimating extreme quantiles and their confidence intervals. Different types of confidence intervals are compared and we show how these calculations can be used for risk analysis.

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تاریخ انتشار 2007