广东沿海地区桥址风场特性实测研究

Study on wind characteristics of bridge sites in coastal areas of Guangdong Province based on measured data

  • 摘要: 结合广东沿海地区某大跨度悬索桥桥面处三维超声风速仪的长期观测数据,统计分析了桥址区的风场平均风特性,以风速超过8 m/s为强风标准,基于强风样本分析了桥址区的脉动风特性。结果表明,广东沿海地区主要受到春夏季东南季风和秋冬季西北强风的影响;顺风向紊流强度明显大于横风向、竖向紊流强度,各分量比值大致为IuIvIw=1∶0.86∶0.60;阵风因子与紊流强度具有显著的正相关性,CAO和CHOI经验公式能较好地反映两者关系,且前者推荐的经验公式更加适用于沿海地区;紊流积分尺度与紊流强度具有一定的负相关性,随着紊流强度的增大,紊流积分尺度呈现先迅速减小后趋于稳定的趋势,根据实测数据给出了紊流积分尺度与紊流强度的经验公式,两者相关性显著;实测数据的顺风向功率谱密度与Kaimal谱吻合较好,横风向功率谱密度与Von Karman谱吻合性较好,竖向功率谱密度在高频段与Panofsky谱吻合性较好。

     

    Abstract: Combined with the long-term observation data of three-dimensional ultrasonic anemometer at the deck of a long-span suspension bridge in the coastal area of Guangdong Province, the average wind characteristics of the wind field at the bridge site are statistically analyzed. Taking the wind speed exceeding 8 m/s as the standard of strong wind, the fluctuating wind characteristics of the bridge site are analyzed based on strong wind samples. The results show that the coastal areas of Guangdong are mainly affected by the southeast monsoon in spring and summer and the northwest strong wind in autumn and winter. The downwind turbulence intensity is obviously greater than the transverse wind and vertical turbulence intensity, and the ratio of each component is roughly IuIvIw=1∶0.86∶0.60. There is a significant positive correlation between gust factor and turbulence intensity, and the empirical formula recommended by Cao and Choi can better reflect the relationship between the two, and the empirical formula recommended by Cao is more suitable for coastal areas. Turbulence integral scale has a negative correlation with turbulence intensity. With the increase of turbulence intensity, turbulence integral scale first decreases rapidly and then tends to be stable. Based on the measured data, the empirical formula of turbulence integral scale and turbulence intensity is given, and the correlation between the two is significant. In the measured data, the downwind power spectral density is in good agreement with Kaimal spectrum, the transverse wind power spectral density is in good agreement with Von Karman spectrum, and the vertical power spectral density is in good agreement with Panofsky spectrum at high frequency band.

     

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