In the operation of the high-speed railway, strong wind is one of the important disasters to cause the overturning of the high-speed train. In this article, based on the wind direction and wind speed data in past 50 years (1951~2010) of 738 meteorological stations along the national high-speed railway, combining more than the gradient wind monitoring data of 100 iron towers along the high-speed railway, 6-elements (wind direction, wind speed, temperature, humidity, rainfall, air pressure) and 5-layer (0.15m, 0.5m, 1.0m, 2.0m, 4.0m) gradient wind strong wind monitoring data in the thirty miles of wind area and one hundred miles of wind area of Lanzhou-Xinjiang No.2 Line, and wind speed and direction monitoring data of 2,000 automatic meteorological stations and 100 strong wind monitoring stations in the past 10 years (2001~2010), the authors conduct standardized information integration, and combine the integrated data with the topography, roadbed height, bridge height, roughness and other parameters in each mileage along the high-speed railway, and revise the time-distance, height, terrain, high embankment and hug bridge strong wind growth rate, and use the methods in combination with meteorology, wind monitoring technology, railway engineering technology, mathematical statistics and probability theory to conduct systematic analysis and study of spatial distribution, vertical distribution, horizontal distribution of maximum wind speed along the high-speed railway, system analysis and research, and propose specific methods and measures to prevent and control the strong wind disasters on the high-speed railway (traffic warning surveillance and control measures, wind fences and artificial tunnel protective measures), having provided technical support for the safe operation of high-speed railway in China.


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    Titel :

    Study on Preventing and Controlling Strong Wind Disaster on High-Speed Railway


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Ni, Yi-Qing (Herausgeber:in) / Ye, Xiao-Wei (Herausgeber:in) / Ma, Shuhong (Autor:in) / Ma, Yunjuan (Autor:in)


    Erscheinungsdatum :

    2012-01-01


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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