Abstract

Different wind models are being used for the operational safety evaluation of a high-speed train exposed to crosswinds. However, the methodology for simulating natural wind is of substantial importance in the wind–train system, and different simplified forms of natural wind result in different levels of accuracy. The purpose of the research in this paper is to investigate the effects of different wind models on the operational safety evaluation of high-speed trains. First, three wind models, namely, steady wind model, gust wind model, and turbulent wind model, are constructed. Following this, the algorithms for computing the aerodynamic loads using the wind models are described. A multi-body dynamic model of a vehicle is then set up using the commercial software “Simpack” for investigating the dynamic behavior of a railway vehicle exposed to wind loads. The rollover risks corresponding to each wind model are evaluated by applying the definition of characteristic wind curves (CWC). The results indicate that the CWC computed using the gust wind model is marginally higher than that computed using the turbulent wind model; the difference is less than 1%. With regard to the steady wind model, the assurance coefficient substantially affects the final CWC. A reasonable agreement of CWC between the steady wind model and turbulent wind model can be obtained by applying an “appropriate value” of the assurance coefficient. This study included a systematic analysis of the operational safety evaluation results using different wind models; the analysis can serve as a reference basis for different engineering accuracy requirements.

Highlights

  • The aerodynamic loads of railway vehicles exposed to strong crosswinds can significant impact the operational safety of railway vehicles

  • The purpose of the present study is to investigate the influence of different wind models on the crosswind stability evaluation of high-speed train

  • The crosswind stability evaluation of a high-speed train by using different wind models has been investigated in this study

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Summary

Introduction

The aerodynamic loads of railway vehicles exposed to strong crosswinds can significant impact the operational safety of railway vehicles. The wind gust time history is low-pass filtered using a moving spatial average based on a window size equal to the vehicle length and a step-size less than 0.5 m [15] Owing to this filtering, the simulated peak wind speed of the gust wind is less than the assumed peak value w. The time series at each point exhibits the correct spectral characteristics; the correlations between the time series at adjacent points exhibit statistics that are consistent with those measured at full scale Another method is to simulate a wind timeseries of a moving reference point coincident with the vehicle at a particular instant; this method is applied in this study. The side force coefficient CFs, lift force coefficient CFl, rolling moment coefficient CMr, yaw moment coefficient CMy, and pitch moment coefficient CMp on the vehicle of a Chinese high-speed train are depicted in Figure 3 [25, 26]

Vehicle Dynamic Model
Numerical Simulation Analysis
Findings
Conclusions
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