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作 者:李正农[1] 代向奎 蒲鸥 吴红华[1] LI Zhengnong;DAI Xiangkui;PU Ou;WU Honghua(Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education(Hunan University),Changsha 410082,China)
机构地区:[1]建筑安全与节能教育部重点实验室(湖南大学),湖南长沙410082
出 处:《湖南大学学报(自然科学版)》2023年第9期1-12,共12页Journal of Hunan University:Natural Sciences
基 金:国家自然科学基金资助项目(52178476)。
摘 要:应用无人机航拍城市地区地面的照片,通过对照片进行识别可快速获取地面建筑物信息,进而有效地获得测区内地貌状况并且实现参数化.通过建立地面粗糙度Z0与地面粗糙度指数α的对应关系可以确定该地区近地风场类别,同时应用无人机搭载风速仪对该地区的风场和风剖面进行实测并通过分析获得了该地区的近地风场类别,进而对采用两种方法获得的近地风场类别识别结果进行了比较.结果表明,通过这两种方法判定的场地类别一致,且相对误差在5%以内.该研究实现了依据实际地貌判定同目标建筑相关的风场类别,所用方法具有广泛的适用性,研究结果可为城市地区的建筑抗风设计提供新思路.With the identification of ground photos taken by unmanned aerial vehicles(UAV)in urban areas,information on ground buildings can be quickly obtained.And the geomorphic conditions in the survey area can be effectively obtained and parameterized.The category of the near ground wind field in this area can be determined by establishing the corresponding relationship between the ground roughness Z0 and the growrd roughness index α.At the same time,the wind field and wind profile in the area were measured by the anemometers carried by UAV,and the near ground wind field category in the area was obtained through analysis.The near ground wind field categories obtained by the two methods are compared.The results show that the site categories determined by the two methods are consistent,and the relative error is within 5%.The research realizes the judgment of wind field category related to the target building according to the actual landform,and the method proposed in the paper has broad applicability.The research results can provide new ideas for the wind resistance design of buildings in urban areas.
分 类 号:TU312.1[建筑科学—结构工程] V211.52[航空宇航科学与技术—航空宇航推进理论与工程]
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