西安建筑科技大学学报(自然科学版)

当前我国对城市小区风环境的研究还相对滞后,城市冠层内风场的详细分布还尚不明确.为揭示城市冠层流场分布,文中通过自编程序对商业软件进行了二次开发,通过添加源项的方法对传统SSTk-ω湍流模型进行了修正,基于修正SSTk-ω湍流模型对不同建筑密度、高度与错落度三种城市形态下的冠层风场进行了深入分析,获取了不同建筑形态下建筑物近地面平均风与湍动能的详细分布.研究结论显示:采用添加源项的办法可以较好的实现SSTk-ω湍流模型湍动能和速度的自保持.城市冠层风场随空间高度可分为紊乱区(h<href)、增长区(href<h<1.3href)和稳定区(h>1.3href); 在紊乱区风速杂乱无章,平均风速小于规范给定的风剖面值,错落度和建筑高度可分别提升紊乱区和增长区的上限风速值.湍动能在建筑内部沿来流方向呈递减趋势,最大值一般出现在前排建筑物屋顶位置.

The current research on the urban wind environment in China is relatively lagging,and the detailed distribution of the wind field in the urban canopy is still unclear. Therefore,to obtain the distribution of the urban canopy flow field,this paper based on the modified turbulence model analyzes the urban canopy wind field in different urban building morphology. In the process,the detailed average wind velocity(AWV)and turbulent kinetic energy(TKE)near the ground are obtained. The results show that the urban canopy wind field can be divided into turbulent area(h<href),growth area(href<h<1.3href)and stable area(h>1.3href)along with heights. In the turbulent area,the wind velocity is disorderly,and the AWV is lower than the wind profile values given by the code. Building height and height differences can improve the upper limit wind speed value of the turbulent area and the growth area. TKE inside the urban canopy shows a decreasing trend along the incoming direction,and the maximum value generally appears on the roof of the front row building.

引言
1 数值理论
2 数值模拟验证
3 不同建筑形态下小区流场分析
4 结论

图1 计算域示意图<br/>Fig.1 Computational domain

图1 计算域示意图
Fig.1 Computational domain

图2 传统SSTk-ω模拟结果<br/>Fig.2 Simulation results by traditional SSTk-ω model

图2 传统SSTk-ω模拟结果
Fig.2 Simulation results by traditional SSTk-ω model

图3 修正SSTk-ω模拟结果<br/>Fig.3 Simulation results by modified SSTk-ω model

图3 修正SSTk-ω模拟结果
Fig.3 Simulation results by modified SSTk-ω model

表1 模拟工况汇总
Tab.1 Simulation cases

图4 不同建筑形态示意图<br/>Fig.4 Different building morphology

图4 不同建筑形态示意图
Fig.4 Different building morphology

图5 计算域
Fig.5 Computational domain

图6 小区模型局部网格<br/>Fig.6 Grid for different cases

图6 小区模型局部网格
Fig.6 Grid for different cases

图7 风洞试验与数值模拟比较图<br/>Fig.7 Comparison of wind tunnel tests and numerical simulations

图7 风洞试验与数值模拟比较图
Fig.7 Comparison of wind tunnel tests and numerical simulations

图8 不同风速监测点<br/>Fig.8 Wind velocity monitoring points

图8 不同风速监测点
Fig.8 Wind velocity monitoring points

图9 正交平均风速<br/>Fig.9 AWV for orthogonal cases

图9 正交平均风速
Fig.9 AWV for orthogonal cases

图10 正交平均湍动能<br/>Fig.10 Average TKE for orthogonal cases

图10 正交平均湍动能
Fig.10 Average TKE for orthogonal cases

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备注

引言

1 数值理论

2 数值模拟验证

3 不同建筑形态下小区流场分析

4 结论

期刊信息