首页> 外文期刊>Boundary-Layer Meteorology >Near-Wake Turbulent Flow Structure and Mixing Length Downstream of a Fractal Tree
【24h】

Near-Wake Turbulent Flow Structure and Mixing Length Downstream of a Fractal Tree

机译:分形树下游的近尾湍流结构和混合长度

获取原文
获取原文并翻译 | 示例
           

摘要

In order to study the turbulence structure behind a multiscale tree-like element in a boundary layer, detailed particle image velocimetry measurements are carried out in the near-wake of a fractal-like tree. The tree is a pre-fractal with five generations, each consisting of three branches and a scale-reduction factor of 1/2 between consecutive generations. Detailed mean velocity and turbulence stress profiles are documented, as well as their downstream development. Scatter plots of mean velocity gradient (transverse shear in the wake) and Reynolds shear stress exhibit a good linear relation at all locations in the flow. Therefore, in the transverse direction of the wake evolution, the data support the Boussinesq eddy-viscosity concept. The measured mixing length increases with streamwise distance, in agreement with classic wake expansion rates. Conversely, the measured eddy viscosity and mixing length in the transverse direction decrease with increasing elevation, which differs from the behaviours measured in the vertical direction in traditional boundary layers or in canopy flows studied before. In order to find an appropriate single length scale to describe the wake evolution behind a multiscale object, two models are proposed, based on the notion of superposition of scales. One approach is based on the radial spectrum of the object while the second is based on its length-scale distribution evaluated using fractal geometry tools. Both proposed models agree well with the measured mixing length. The results suggest that information about multiscale clustering of branches must be incorporated into models of the mixing length for flows through single or sparse canopies of multiscale trees.
机译:为了研究边界层中多尺度树状元素后面的湍流结构,在分形树的近尾进行了详细的颗粒图像测速测量。该树是具有五代的预分形,每代由三个分支组成,并且连续几代之间的缩放比例为1/2。详细的平均速度和湍流应力曲线及其下游发展都被记录在案。平均速度梯度(尾流中的横向剪切)和雷诺剪切应力的散点图在流动的所有位置均显示出良好的线性关系。因此,在尾流演变的横向方向上,数据支持了Boussinesq涡粘性概念。测得的混合长度随流向距离的增加而增加,与经典的尾流膨胀率一致。相反,横向上测得的涡流粘度和混合长度随高度的增加而减小,这与传统边界层或先前研究的冠层流在垂直方向上测得的行为不同。为了找到合适的单一长度尺度来描述多尺度物体背后的尾流演化,基于尺度叠加的概念,提出了两个模型。一种方法是基于对象的径向光谱,而第二种方法是基于使用分形几何工具评估的对象的长度比例分布。两种建议的模型都与测量的混合长度非常吻合。结果表明,关于分支的多尺度聚类的信息必须纳入流经多尺度树的单个或稀疏树冠的混合长度的模型中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号