Abstract
In this study, a prediction method for strong gust based on onsite measurement and CFD was used which can take the effect of complex terrain into account. Predicted maximum gust shows good agreement with measurement. In addition, a time series based method for the prediction of the strong gust frequency in a control section was proposed. Predicted strong gust frequency agrees well with the measurement, while the conventional methods underestimate or overestimate the frequency. Finally, the proposed method was applied to the regulation of train operation, considering train speed, wind direction, and wind fences. The frequency of the regulation of the train operation at a 6km test section decreases from 0.16% to 0.14% when the train speed is reduced and decreases to 0.11% when the wind direction is considered, and further decreases to 0.08% when the wind fence is installed.
