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arXiv 2103.08559physics.flu-dyn
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数字互相关PIV网格Turbulence的速度、速度梯度和涡度统计

Velocity, Velocity Gradient and Vorticity Statistics of Grid Turbulence Obtained Using Digital Cross-correlation PIV

Philippa O'Neill, David Nicolaides, Damon Honnery, Julio Soria

摘要:

采用互相关数字粒子图像测速技术(PIV)对泰勒雷诺数(Reλ)为5 ~ 44的网格湍流进行了研究。直接测量瞬时速度,间接获得涡量和速度梯度。在发电电网的各个下游位置进行测量。概率分布函数(PDF)计算的脉动分量的速度,空间速度梯度和涡度。速度脉动的PDF具有高斯分布,而速度梯度和涡量被发现具有非高斯PDF分布。流的结构进行了研究,通过计算空间自相关的所有测量和导出的数据。空间速度自相关不同于以前的实验测量网格湍流,其中大部分已确定从单点测量。这种差异被认为是由于进行测量的方式的差异,特别是实验域的空间大小的差异。

英文摘要:

Grid turbulence is investigated using cross-correlation digital Particle Image Velocimetry (PIV) over a range of Taylor Reynolds Number (Reλ) from 5 to 44. Instantaneous velocity is measured directly and vorticity and velocity gradients are obtained indirectly. Measurements are taken at various downstream locations from the generating grid. Probability distribution functions (PDFs) are calculated for the fluctuating component of the velocity, the spatial velocity gradients and vorticity. The PDF of the velocity fluctuations has a Gaussian distribution while velocity gradients and vorticity are found to have non-Gaussian PDF distributions. The structure of the flow is investigated by calculating spatial autocorrelations for all measured and derived data. The spatial velocity autocorrelations differ from previous experimental measurements of grid turbulence, most of which have been determined from single-point measurements. This difference is believed to be due to differences in the way in which the measurements are made, and particularly to differences in the spatial size of the experimental domain.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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