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Extended 3D-PTV for direct measurements of Lagrangian statistics of canopy turbulence in a wind tunnel

机译:扩展的3D-PTV,可直接测量拉格朗日风洞中冠层湍流的统计数据

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Direct estimation of Lagrangian turbulence statistics is essential for the proper modeling of dispersion and transport in highly obstructed canopy flows. However, Lagrangian flow measurements demand very high rates of data acquisition, resulting in bottlenecks that prevented the estimation of Lagrangian statistics in canopy flows hitherto. We report on a new extension to the 3D Particle Tracking Velocimetry (3D-PTV) method, featuring real-time particle segmentation that outputs centroids and sizes of tracer particles and performed on dedicated hardware during high-speed digital video acquisition from multiple cameras. The proposed extension results in four orders of magnitude reduction in data transfer rate that enables to perform substantially longer experimental runs, facilitating measurements of convergent statistics. The extended method is demonstrated through an experimental wind tunnel investigation of the Lagrangian statistics in a heterogeneous canopy flow. We observe that acceleration statistics are affected by the mean shear at the top of the canopy layer and that Lagrangian particle dispersion at small scales is dominated by turbulence in the wake of the roughness elements. This approach enables to overcome major shortcomings from Eulerian-based measurements which rely on assumptions such as the Taylor's frozen turbulence hypothesis, which is known to fail in highly turbulent flows.
机译:拉格朗日湍流统计数据的直接估计对于正确建模高度阻塞的冠层流中的扩散和传输至关重要。但是,拉格朗日流量测量需要非常高的数据采集速率,导致出现瓶颈,从而阻止了迄今为止对冠层流量的拉格朗日统计量的估计。我们报告了3D粒子跟踪测速(3D-PTV)方法的新扩展,该方法具有实时粒子分割功能,可输出质心和示踪剂粒子的大小,并在从多台摄像机进行高速数字视频采集期间在专用硬件上执行。拟议的扩展将导致数据传输速率降低四个数量级,从而可以执行更长的实验运行,从而有助于收敛统计的测量。通过对非均质冠层流中的拉格朗日统计进行实验性风洞调查,证明了扩展方法。我们观察到,加速度统计数据受冠层顶部平均剪切力的影响,小尺度的拉格朗日粒子分散主要受湍流影响,而后随粗糙度元素的变化而变化。这种方法可以克服基于欧拉测量的主要缺点,该测量基于诸如泰勒的冻结湍流假设之类的假设,众所周知,泰勒冻结湍流假设会在高度湍流中失败。

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