Krstulovic Giorgio
Laboratoire J.L. Lagrange, UMR7293, Université de la Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, B.P. 4229, 06304 Nice Cedex 4, France.
Phys Rev E. 2016 Jun;93(6):063104. doi: 10.1103/PhysRevE.93.063104. Epub 2016 Jun 8.
Low-temperature grid-generated turbulence is investigated by using numerical simulations of the Gross-Pitaevskii equation. The statistics of regularized velocity increments are studied. Increments of the incompressible velocity are found to be skewed for turbulent states. Results are later confronted with the (quasi) homogeneous and isotropic Taylor-Green flow, revealing the universality of the statistics. For this flow, the statistics are found to be intermittent and a Kolmogorov constant close to the one of classical fluid is found for the second-order structure function.
通过对格罗斯-皮塔耶夫斯基方程进行数值模拟，研究了低温网格生成的湍流。研究了正则化速度增量的统计特性。发现不可压缩速度的增量在湍流状态下是倾斜的。随后将结果与（准）均匀各向同性泰勒-格林流进行对比，揭示了统计特性的普遍性。对于这种流动，发现统计特性是间歇性的，并且在二阶结构函数中发现了一个接近经典流体的科尔莫戈罗夫常数。
