A Method to Estimate the Probability of a Train Encountering Gusts in an Operating Section

Imai, Toshiaki; Araki, Keiji; Fukuhara, Takaaki

doi:10.2219/rtriqr.50.222

Cited by 2 publications

(4 citation statements)

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“…The method for estimating P x introduced in this paper allows the evaluation of train safety in strong wind conditions by taking the wind direction into consideration. However, to establish a method for calculating P x that gives due consideration to operating regulations in Japan, "wind temporal fluctuations" proposed by researchers [7,8] must be reanalyzed according to the wind direction. Future research will seek to reanalyze wind temporal fluctuations by using observational wind data from 772 AMeDAS stations and to investigate the effects on P x of wind temporal fluctuations according to wind direction.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 1 shows an example of the CWS according to the wind angles for a meter-gauged railway vehicle running at 100 km/h. Although previous studies [7,8] have used only the minimum value shown in Fig.1, our study used all of the values of CWS according to the…”

Section: Research Methodology 21 Cws According To Angle Between the mentioning

confidence: 99%

“…Tanemoto et al summarized aerodynamic force coefficients for metergauged railway vehicles; the coefficients were determined on the basis of a series of wind tunnel tests for analyzing the safety of train operation under strong winds [6]. Imai et al researched a method for quantitatively evaluating the safety of trains in strong winds [7,8]. This method evaluates safety by using the probability P x that a train running in an operational control section will encounter strong winds exceeding the CWS.…”

Section: Introductionmentioning

confidence: 99%

“…The CWS calculated by "the detailed equation" differs according to vehicle shape, the cross-sectional shapes of railway structures, and angles between the traveling directions of the train and the wind directions. However, previous studies [7,8] use only the minimum value of the CWS according to the wind direction. Moreover, in probability models of natural wind occurrence for evaluating P x , the directions of natural winds are not considered.…”

Section: Introductionmentioning

confidence: 99%

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<b>Method for Evaluating Train Safety in Case of Strong Winds</b>

Araki¹,

Fukuhara²,

Tanimoto³

2015

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This paper proposes a method for evaluating train running safety in strong wind conditions using the probabilities of strong wind occurrence according to wind direction. The Weibull coefficients c d and k d for 16 wind directions were calculated on the basis of data from 10-min maximum instantaneous wind velocities for each wind direction at 772 Automated Meteorological Data Acquisition System (AMeDAS) stations. Probabilities P x of the occurrence of strong winds exceeding the critical wind speeds for overturning were estimated for a train in a virtual railway section by using c d and k d calculated on the basis of the wind data observed at a windy AMeDAS station. P x values were found to vary from 6.2×10-6 to 8.6×10-5 depending on the angle between the traveling direction of the train and each wind direction. The values of P x ranged from 1.4% to 20% of the P y values, which were calculated out of consideration of strong wind occurrence according to wind direction.

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Section: Discussionmentioning

confidence: 99%

Section: Research Methodology 21 Cws According To Angle Between the mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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