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PERSISTENT MULTIPLE-SCALE STAGNATION POINT STRUCTURE

机译:持久多尺度停滞点结构

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In isotropic turbulence, stagnation points form a fractal multiple-scale network in space such that their number density n_s = C_sL~(-d) (L/η)~(D_s) where C_s is a dimensionless constant, L/q is the inner to outer length-scale ratio and the fractal dimension Dn is given by p + 2D*/d = 3; d is the dimensionality of the flow and p is the exponent of the energy spectrum. On the other hand, the statistical persistence of stagnation points is defined in terms of the statistics of stagnation point velocities, and we show that, on average, stagnation points stop moving as the Reynolds number tends to infinity in the frame where the mean flow is zero. In that same limit, stagnation points tend to become zero-acceleration points on average, and to be persistent. Turbulent-like velocity fields obtained by Kinematic Simulations (KS) can be made to reproduce some persistence properties of the multiple-scale stagnation point network by appropriately choosing the KS time-dependence. Studies of turbulent pair diffusion in such KS lead to (△~2)≈G_△L~2(u't/L)~γ (where A is the pair separation at time I, u' is the r.m.s. turbulent velocity and G& is the Richardson dimensionless constant) with 7 = 2d/DH. A simple argument based on the time between successive encounters of particle-pairs with stagnation points and on a re-interpretation of the locality-in-scale hypothesis in terms of a multiplicative pair-separation process confirms this relation between the Lagrangian exponent 7 and the Eulerian exponent DH. This model also leads to GA ~ C.,2/D" thus suggesting that the Richardson constant might not be universal. Simulations confirm that GA is an increasing function of C.,. Finally, we seek to corroborate these ideas and results wi th a low Reynolds number laboratory simulation of high Reynolds number two-dimensional turbulence. We complement this laboratory simulation with DNS of the same and similar flows. In this laboratory simulation we reproduce the cat's eyes within cat's eyes topological streamline structure of two-dimensional turbulence by appropriate multiple-scale electromagnetic forcing of a quasi-two-dimensional brine flow. In particular, we are able to impose the value of DH. PIV measurements of the energy spectrum corroborate the formula p + 2Ds/d, = 3.
机译:在各向同性的湍流,滞流点形成在空间分形多尺度网络,使得它们的数密度N_S = C_sL〜(-d)(L /η)〜(D_S)其中C_S是一个无量纲的常数,L / q是内到外部长度规模比与分形维数DN用p + 2D * / d = 3给出d是流的维数,p是能量谱的指数。在另一方面,驻点的统计持久性驻点速度的统计数据来定义的,而我们表明,平均而言,驻点停止移动雷诺数趋于无穷大的框架,其中平均流速零。在同样的限制,驻点往往成为平均零加速点,并具有持久性。湍流状由运动学仿真(KS)获得的速度场可以由通过适当地选择KS时间依赖性以再现多种尺度驻点网络的一些持久性性能。在这样的湍流KS对扩散的研究导致(△〜2)≈G_△L〜2(u't / L)〜γ(其中,A是在时间i的一对分离中,u”是均方根湍流速度和G&是无量纲理查森常数)与7 = 2D / DH。基于与滞流点和在乘法对分离工艺而言局部性在大规模假说的重新解释粒子对连续遇到之间的时间的简单参数确认拉格朗日指数7和之间的这种关系欧拉指数DH。这种模式也导致GA〜C.,2 / d”,从而暗示理查德森常数可能不是普遍的。模拟结果证实GA是C的增函数,最后,我们试图证实这些想法和结果的Wi日高雷诺数二维湍流低雷诺数实验室模拟,我们用相同和相似的流程的DNS补充这个实验室模拟。在这个实验室模拟,我们猫的眼睛通过二维湍流拓扑流线型结构中重现猫的眼睛适当多尺度电磁迫使准二维盐水流的。特别是,我们能够强加DH的值。能谱的PIV测量证实公式p + 2DS / d,= 3。

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