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基于实测数据的近地层风特性分析研究
Wind Characteristics of Near Strata Based on Field⁃Measured Data
  
DOI:10.16450/j.cnki.issn.1004?6801.2021.06.004
中文关键词:  风速风向数据  湍流强度  湍流积分尺度  阵风因子  脉动风速功率谱
英文关键词:wind velocity and wind direction data  turbulence intensity  turbulence integral scale  gust factor  fluctuating wind spectrum
基金项目:国家自然科学基金资助项目(51568041);教育部长江学者创新团队资助项目(IRT13068);甘肃省住建厅科技攻关资助项目(JK2016?12)
作者单位
王雪平1, 栾雪涛1, 李万润1,2, 杜永峰1,2 (1.兰州理工大学防震减灾研究所 兰州730050)(2.兰州理工大学西部土木工程防灾减灾教育部工程研究中心 兰州730050) 
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中文摘要:
      根据世界风能技术中心实际测风塔测到的大风天气下近地层不同高度处的风速风向数据,对该风场的平均风速与风向、湍流度、阵风因子、湍流积分尺度和脉动风速功率谱进行分析。结果表明:当平均风速曲线出现较大的尖峰时,平均风向会出现低谷;顺风向湍流强度和湍流积分尺度都明显大于横风向和竖风向相应的湍流强度和湍流积分尺度,各分量比值大致为1∶0.121 3∶0.188 6;文献[1?2]中建议的经验公式均能较好地反映顺风向阵风因子与湍流强度的变化关系,并借助实测数据通过曲线拟合给出了相应的经验公式;顺风向湍流积分尺度有随平均风速的增大而减小的趋势,而竖风向湍流积分尺度随平均风速的增大呈幂指数增长;纵向实测脉动风速功率谱与Von Karman和Kaimal经验谱吻合较差,竖向脉动风速功率谱与Panofsky经验谱在高频段有所偏差,通过拟合得到的经验谱与实测谱更为接近。
英文摘要:
      Based on the wind velocity and wind direction data collected by the wind tower of the Nation Wind Technology Center at different heights near the ground in gale weather, the wind field characteristics such as the mean wind speed and wind direction, turbulence intensity, gust factor, turbulence integral scale and fluctuating wind spectrum are analyzed. The results show that the mean wind direction will be low when the mean wind speed curve has a large spike. The downwind turbulence intensity and turbulence integral scale are obviously larger than the corresponding turbulence intensity and turbulence integral scale in cross wind direction and vertical wind direction, and the ratio of each component is about 1∶0.121 3∶0.188 6. The empirical formulas can better reflect the relationship between the downwind gust factor and the turbulence intensity, and the corresponding empirical formulas are obtained by curve fitting with the measured data. The downwind turbulence integral scale tends to decrease with the increase of mean wind speed, while the vertical wind direction turbulence integral scale exponentially increases with the increase of mean wind speed, and the longitudinal measured power spectrum of fluctuating wind speed is not in good agreement with Von Karman spectrum and Kaimal spectrum. Moreover, the power spectrum of vertical fluctuating wind speed and Panofsky empirical spectrum are deviated from each other in high frequency band, and the empirical spectrum obtained by fitting is closer to the measured spectrum.
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