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Multiscale velocity correlations in turbulence and Burgers turbulence: Fusion rules, Markov processes in scale, and multifractal predictions

机译:湍流中的多尺度速度相关性和汉堡湍流:融合规则,马尔可夫的规模流程,以及多分术预测

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摘要

We compare different approaches towards an effective description of multiscale velocity field correlations in turbulence. Predictions made by the operator-product expansion, the so-called fusion rules, are placed in juxtaposition to an approach that interprets the turbulent energy cascade in terms of aMarkov process of velocity increments in scale. We explicitly show that the fusion rules are a direct consequence of the Markov property provided that the structure functions exhibit scaling in the inertial range. Furthermore, the limit case of joint velocity gradient and velocity increment statistics is discussed and put into the context of the notion of dissipative anomaly.We generalize a prediction made by the multifractal model derived by Benzi et al. [R. Benzi et al., Phys. Rev. Lett. 80, 3244 (1998)] to correlations among inertial range velocity increment and velocity gradients of any order.We show that for the case of squared velocity gradients such a relation can be derived from first principles in the case of Burgers equations. Our results are benchmarked by intensive direct numerical simulations of Burgers turbulence.
机译:我们比较了不同方法朝着多尺度速度场相关性在湍流中的有效描述。通过操作员 - 产品扩展,所谓的Fusion规则所取得的预测将与速度增量的Amarkov过程中的湍流能量级联解释湍流能量级联的方法。我们明确表明融合规则是马尔可夫财产的直接后果,条件是结构功能在惯性范围内表现出缩放。此外,讨论了联合速度梯度和速度增量统计的极限情况,并进入了耗散异常的概念的背景信息。我们概括了Benzi等人来源的多分泌模型制备的预测。 [R. Benzi等人。,phy。 rev. lett。 80,3244(1998)]在任何顺序的惯性范围速度增量和速度梯度之间的相关性。我们表明,对于平方速度梯度的情况,这种关系可以从汉堡方程的情况下源自第一原理。我们的结果是由汉堡湍流的密集直接数值模拟基准。

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