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arXiv physics/0503142physics.flu-dyncond-mat.stat-mech
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三维完全展开Turbulence中出射距离逆统计量的多重分形性

Multifractality of Inverse Statistics of Exit Distances in 3D Fully Developed Turbulence

W. -X. Zhou, D. Sornette, W. -K. Yuan

摘要:

出口距离的逆结构函数已被引入作为一种新的湍流诊断方法,它强调更多的层流区域[1-4]。利用泰勒的冻结场假设,我们研究了经验三维充分发展湍流出口距离的统计特性。我们发现,在不同的速度阈值的出口距离的概率密度函数可以近似拉伸指数与指数变化的速度阈值低于临界阈值。我们发现,逆结构函数表现出明显的扩展自相似性(ESS)。对于小p(p<3.5)的ESS指数ε(p,2)通过假设出口距离的普适分布获得的ε(p,2)= p/2的预测很好地捕获,而对于大p的观测偏差表征了这些分布对速度阈值的依赖性。通过应用盒计数多重分形分析的自然措施上构建的时间序列的出口距离,我们证明了存在一个真正的多重分形,赋予另外的负维数。执行相同的分析重组的时间序列,否则相同的统计特性,其中多重分形是缺席,我们表明,多重分形可以追溯到非平凡的依赖性的时间序列的出口时间,这表明一个非平凡的组织弱动荡地区。

英文摘要:

The inverse structure functions of exit distances have been introduced as a novel diagnostic of turbulence which emphasizes the more laminar regions [1-4]. Using Taylor's frozen field hypothesis, we investigate the statistical properties of the exit distances of empirical 3D fully developed turbulence. We find that the probability density functions of exit distances at different velocity thresholds can be approximated by stretched exponentials with exponents varying with the velocity thresholds below a critical threshold. We show that the inverse structure functions exhibit clear extended self-similarity (ESS). The ESS exponents ξ(p,2) for small p (p<3.5) are well captured by the prediction of ξ(p,2)= p/2 obtained by assuming a universal distribution of the exit distances, while the observed deviations for large p's characterize the dependence of these distributions on the velocity thresholds. By applying a box-counting multifractal analysis of the natural measure constructed on the time series of exit distances, we demonstrate the existence of a genuine multifractality, endowed in addition with negative dimensions. Performing the same analysis of reshuffled time series with otherwise identical statistical properties for which multifractality is absent, we show that multifractality can be traced back to non-trivial dependence in the time series of exit times, suggesting a non-trivial organization of weakly-turbulent regions.

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