Yakhot Victor, Donzis Diego
Department of Mechanical Engineering, Boston University, Boston, Massachusetts 02215, USA.
Department of Aerospace Engineering, Texas A&M University, College Station, Texas 77843, USA.
Phys Rev Lett. 2017 Jul 28;119(4):044501. doi: 10.1103/PhysRevLett.119.044501. Epub 2017 Jul 24.
We consider the transition to strong turbulence in an infinite fluid stirred by a Gaussian random force. The transition is defined as a first appearance of anomalous scaling of normalized moments of velocity derivatives (dissipation rates) emerging from the low-Reynolds-number Gaussian background. It is shown that, due to multiscaling, strongly intermittent rare events can be quantitatively described in terms of an infinite number of different "Reynolds numbers" reflecting a multitude of anomalous scaling exponents. The theoretically predicted transition disappears at R_{λ}≤3. The developed theory is in quantitative agreement with the outcome of large-scale numerical simulations.
我们考虑在由高斯随机力搅拌的无限流体中向强湍流的转变。这种转变被定义为从低雷诺数高斯背景中出现的速度导数(耗散率)归一化矩的反常标度的首次出现。结果表明,由于多重标度,强间歇性罕见事件可以根据反映大量反常标度指数的无限多个不同“雷诺数”进行定量描述。理论预测的转变在(R_{λ}≤3)时消失。所发展的理论与大规模数值模拟的结果在定量上是一致的。