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Conditional statistics for passive-scalar mixing in a confined rectangular turbulent jet

机译:密闭矩形湍流射流中被动标量混合的条件统计

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摘要

Experimental results for the conditional statistics, such as the velocity conditioned on a conserved scalar and the scalar conditioned on velocity, in a confined liquid-phase rectangular jet are presented and analyzed for a data set collected using simultaneous particle image velocimetry and planar laser-induced fluorescence. The joint velocity-scalar probability density function (PDF) is not joint Gaussian in this flow, as the PDF of the conserved scalar is accurately described by a beta-PDF. The conditional mean velocity is found to agree with a linear model when the scalar is close to its local mean value. A gradient PDF model is found to give poor predictions for the streamwise conditional velocity. However, the improved gradient PDF model predicts both the streamwise and transverse conditional velocities well. A linear model for the scalar fluctuation conditioned on velocity is also tested against the experimental data, showing that this model only obtains good approximations when the joint velocity-scalar PDF approaches a joint Gaussian at farther downstream locations in this flow.
机译:提出了条件统计的实验结果,例如在受限液相矩形射流中以守恒标量为条件的速度和以速度为条件的标量的条件,并分析了同时粒子图像测速和平面激光诱导收集的数据集荧光。在此流程中,联合速度标量概率密度函数(PDF)不是联合高斯分布,因为守恒标量的PDF由beta-PDF准确描述。当标量接近其局部平均值时,发现条件平均速度与线性模型一致。发现梯度PDF模型不能对流向条件速度做出很好的预测。但是,改进的梯度PDF模型可以很好地预测水流和横向条件速度。还针对实验数据测试了以速度为条件的标量波动的线性模型,这表明仅当联合速度标量PDF在该流的更下游位置接近联合高斯时,该模型才能获得良好的近似值。

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