Experimental study on wind characteristics and prediction of mean wind profile over complex heterogeneous terrain
Experimental study on wind characteristics and prediction of mean wind profile over complex heterogeneous terrain
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DOI：
10.1016/j.buildenv.2023.110719
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发表时间：
2023-08
影响因子：
7.4
通讯作者：
L. An;Nasrollah Alinejad;Sejin Kim;Sungmoon Jung
中科院分区：
文献类型：
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作者：
L. An;Nasrollah Alinejad;Sejin Kim;Sungmoon Jung
本文研究了复杂非均匀地形对平均风速和湍流强度的影响，强调了地形结构对建筑物风荷载和城市上空气流的重要性。对60种不同的粗糙度配置进行了广泛的风洞试验，这些粗糙度配置是通过处理美国各地的航空图像获得的。这项研究有两个主要贡献。首先，提出了一个模型来预测平均风廓线，利用复杂的非均匀地形的形态信息。利用Deaves和Harris模型，沿着与一种新的算法的粗糙度过渡的自动表征。与实测风速相比，该模型的平均预测误差小于2%。其次，研究了地形复杂性对近地面风特征的影响。通过将实验结果与从具有相似粗糙度长度的均匀地形获得的结果进行比较，我们量化了假设均匀地形进行风速评估时可能出现的潜在误差。据观察，增加粗糙度长度的变化导致平均风速的下降和湍流强度的增加。地形复杂性的影响，但是，被认为是次要的粗糙度长度相比。在此基础上，量化了地形复杂性与风特性之间的关系，并提出了简化模型。
This study investigates the impact of complex heterogeneous terrain on mean wind speed and turbulence intensity, highlighting the significance of terrain configuration in the wind loading on buildings and airflow over urban areas. Extensive wind tunnel tests were conducted for 60 different roughness configurations, obtained by processing aerial images across the United States. The study makes two main contributions. First, a model was proposed to predict mean wind profiles, using the morphological information of complex heterogeneous terrain. The Deaves and Harris model was utilized along with a novel algorithm for the automatic characterization of roughness transitions. The proposed model exhibited less than 2% average prediction error compared to the measured wind speed. Second, the study investigated the impact of terrain complexity on near-surface wind characteristics. By comparing the experimental results with those obtained from a homogeneous terrain with a similar roughness length, we quantified the potential errors that may arise when assuming a homogeneous terrain for wind speed assessment. It was observed that increasing variability in roughness length led to a decrease in mean wind speed and an increase in turbulence intensity. The influence of terrain complexity, however, was found to be secondary compared to roughness length. Consequently, the relationships between terrain complexity and wind characteristics were quantified, and a simplified model was proposed.