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Intermittency of 1D velocity spatial profiles in turbulence: a magnitude cumulant analysis

机译:一维速度空间分布在湍流中的间歇性:幅度累积量分析

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摘要

We perform one- and two-points magnitude cumulant analysis of one-dimensional longitudinal velocity profiles stemming from three different experimental set-ups and covering a broad range of Taylor scaled Reynolds numbers from R_λ = 89 to 2500. While the first-order cumulant behavior is found to strongly depend on Reynolds number and experimental conditions, the second-order cumulant and the magnitude connected correlation functions are shown to display respectively universal scale and space-lag behavior. Despite the fact that the Extended Self-Similarity (ESS) hypothesis is not consistent with these findings, when extrapolating our results to the limit of infinite Reynolds number, one confirms the validity of the log-normal multifractal description of the intermittency phenomenon with a well defined intermittency parameter C_2 = 0.025 ± 0.003. But the convergence to zero of the magnitude connected correlation functions casts doubt on the asymptotic existence of an underlying multiplicative cascading spatial structure.
机译:我们对源自三个不同实验设置的一维纵向速度分布图进行一点和两点大小的累积量分析,涵盖范围从R_λ= 89到2500的泰勒级雷诺数的广泛范围。而一阶累积量行为据发现,雷诺数强烈依赖于雷诺数和实验条件,二阶累积量和幅值相关函数分别显示了普遍尺度和空间滞后行为。尽管存在扩展的自相似性(ESS)假设与这些发现不一致的事实,但将我们的结果外推到无限雷诺数的极限时,人们证实了对间歇现象的对数正态多重分形描述的正确性。定义的间歇性参数C_2 = 0.025±0.003。但是,幅度为零的相关函数的收敛收敛于底层乘法级联空间结构的渐近性。

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