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Non-Gaussian probability distribution of a velocity field in uniform straining-flow turbulence

机译:均匀应变流湍流中速度场的非高斯概率分布

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摘要

The non-Gaussian probability distribution of a velocity field itself is found in the numerical simulation of uniform straining-flow turbulence. The distribution does not decrease as fast as a Gaussian distribution. The moment method to determine a limiting probability distribution, proposed by Sinai and Yakhot [Phys. Rev. Lett. 63, 1962 (1989)] for the passive scalar field, is examined in detail for the present velocity field. It is found by the examination of the conditional probability distribution on vorticity magnitudes that the non-Gaussianity is caused in the tube like high vorticity region, two-dimensional structure, appeared in the turbulent flow. The results are also compared with those of a passive scalar field and a three-dimensional flow with two-dimensional structure, which makes the contribution from pressure term to such distribution more apparent. It follows that the non-Gaussian distribution is due to the superior dissipation effect to the pressure (nonlinear) effect.
机译:速度场本身的非高斯概率分布可在均匀应变流湍流的数值模拟中找到。分布的下降速度不如高斯分布快。 Sinai和Yakhot提出的确定极限概率分布的矩方法[Phys。牧师63,1962(1989)]中详细讨论了无源标量场的当前速度场。通过检查涡度大小的条件概率分布发现,非高斯性是在湍流中出现的,就像高涡区域,二维结构的管道一样。将结果与无源标量场和具有二维结构的三维流的结果进行了比较,这使得压力项对这种分布的贡献更加明显。因此,非高斯分布是由于相对于压力(非线性)效应具有更好的耗散效应。

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