Reliability based analysis of the crosswind stability of railway vehicles

Carrarini, Antonio

doi:10.1016/j.jweia.2006.10.001

Cited by 63 publications

(45 citation statements)

References 63 publications

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“…Many railway vehicle safety standards, such as EN 14067-6 (CEN, 2010) and TSI/HS- RST-L64-7/3/2008(OJEU, 2008, have been proposed to evaluate the dynamic response of trains to crosswind action and ensure their operational safety. Reviews of recent international work in this field were presented by Carrarini (2006) and Baker et al (2009).…”

Section: Introductionmentioning

confidence: 99%

“…Typically, quasi-steady approaches are proposed for use in calculating the wheel loading reduction caused by crosswind forces. Such approaches are based on equilibrium of the steady aerodynamic forces and the restoring forces on the railway vehicle and do not take into account the transient response that occurs when a vehicle is subjected to a crosswind (RSSB, 2000;Carrarini, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Study on the safety of operating high-speed railway vehicles subjected to crosswinds

Xiao

Ling

Xiong

et al. 2014

J. Zhejiang Univ. Sci. A

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Abstract:A coupled vehicle-track dynamic model is put forward for use in investigating the safety effects of crosswinds on the operation of a high-speed railway vehicle. In this model, the vehicle is modeled as a nonlinear multi-body system, and the ballasted track is modeled as a three-layer discrete elastic support system. The steady aerodynamic forces caused by crosswinds are modeled as ramp-shaped external forces being exerted on the vehicle body. This model was used in a numerical analysis of the dynamic response and dynamic derailment mechanisms of high-speed vehicles subjected to strong crosswinds. The effects of the crosswind speeds, crosswind attack angle, and vehicle speed on the operational safety of the vehicle were examined. The operational safety boundaries of a high-speed vehicle subjected to crosswinds were determined. The numerical results obtained indicate that crosswinds at attack angles of 75° to 90° with respect to the forward direction of the vehicle have a great influence on the safety of operating high-speed railway vehicles. The wheelset unloading limit, which determines the position of the warning boundary dividing the safe operating area and the warning area, is the most conservative, i.e., the safest, criterion to use in assessing the high-speed operational safety of vehicles in crosswinds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the safety of operating high-speed railway vehicles subjected to crosswinds

Xiao

Ling

Xiong

et al. 2014

J. Zhejiang Univ. Sci. A

View full text Add to dashboard Cite

show abstract

“…They have been reviewed and critically discussed in [5]. While former standards preferred '1-cos' gust shapes [10][11], there are strong theoretical arguments [2] in favor of an exponential shape (cf.…”

Section: Aerodynamic Modelmentioning

confidence: 99%

“…1) of the gust. However, as Carrarini [5] pointed out, direct computation of the aerodynamic forces and moments under assumption of stationary aerodynamics would lead to artificial results (and moreover pose severe problems to a correct numerical integration of the equations of motion). Taking unsteady aerodynamics via the aerodynamic admittance into account amounts to the application of a low pass filter (or a moving average) to the gust velocity time series.…”

Section: Aerodynamic Modelmentioning

confidence: 99%

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Overturning Probability of Railway Vehicles under Wind Gust Loads

Proppe

Wetzel

IUTAM Book Series

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Abstract:Sufficient crosswind stability is an important criterion in the approval process of railway vehicles. However, crosswind stability is in conflict with demands for light-weight constructions (especially cabin cars) and higher driving velocities. In many countries, the approval process foresees stability predictions based on worst case scenarios, where uncertainties are taken into account by means of safety factors and comparison with reference vehicles. This procedure is a burden for innovations and hinders the interoperability of railway vehicles. Therefore, models have been proposed that take some of the uncertainties associated with the wind gusts and the aerodynamic coefficients of the carbody into account. In this paper, a consistent stochastic wind gust model is proposed, and probabilistic characteristic wind curves are computed by means of a reliability analysis of the train-environment system.

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On the influence of crosswind on the overturning stability of railway vehicles

Wetzel

Yalamas

Proppe

2007

Proc Appl Math and Mech

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In recent years modern railway vehicle design shows a trend to faster, lighter and more energy efficient railway systems. These developments unfortunately alter the crosswind stability in a negative manner and so the risk of overturning of railway vehicles during operation in strong winds becomes a critical issue. The risk of overturning is quantified by the probability that a railway vehicle capsizes. To improve the crosswind stability it is very important to know the influence of the design and excitation variables on the wheel unloading of the railway car. Sensitivity coefficients of the design and excitation variables with respect to the probability of failure are calculated and the most influential variables are accentuated. Stochastic modeling of the systemThe railway vehicle is simulated in the commercial MBS-Code ADAMS/RAIL. The wind induced forces and moments which are acting on the vehicle are modeled as concentrated forces and moments. As shown in figure 2 an artificial gust scenario is designed for the crosswind characteristic [3], in which the amplitude A and the duration T of the exponential gust are modeled as stochastic variables. Not only the amplitude and the duration but also the aerodynamic coefficients C y,z,mx,my,mz of the railway vehicle are uncertain. Altogether there are seven stochastic variables z describing the excitation of the system [4]. As the excitation of the nonlinear railway vehicle model is a stochastic process the response of the railway car is also stochastic and so the probability of failure that the railway vehicle turns over can be computed. Failure means, that the wheel unloadings of the windward wheels exceed a certain limit. Carrarini [1] proposed a Probabilistic Characteristic Wind Curve (PCWC) (figure 3) where the failure probability P f is shown as a function of the mean wind velocity u 0 . The probability of failure has been calculated by a FORM and a Line Sampling analysis. Using FORM the probability of failure is approximated by the standard normal cumulative distribution function (CDF)where β = z is in the space of the stochastic variables the shortest distance from the origin to the limit state function g(z) = 0, which separates the failure from the safe domain. The point with the shortest distance to the origin lying on the limit state function is the so-called Most Probable failure Point (MPP). Sensitivity calculationsLocal sensitivity calculations concerning the 7 stochastic excitation variables z and concerning 9 deterministic design parameters θ have been done. At the MPP gradients of the distance β with respect to the excitation variables z and gradients with respect to the design parameters θ

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Reliability based analysis of the crosswind stability of railway vehicles

Cited by 63 publications

References 63 publications

Study on the safety of operating high-speed railway vehicles subjected to crosswinds

Study on the safety of operating high-speed railway vehicles subjected to crosswinds

Overturning Probability of Railway Vehicles under Wind Gust Loads

On the influence of crosswind on the overturning stability of railway vehicles

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