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arXiv 1306.6167cond-mat.otherquant-ph
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He-4逆流中量子涡旋缠结的结构turbulence

Structure of quantum vortex tangle in He-4 counterflow turbulence

Luiza Kondaurova, Victor L'vov, Anna Pomyalov, Itamar Procaccia

摘要:

本文的主要目标是提出一个全面的表征发展良好的涡流缠结在湍流逆流的量子流体(层流正常流体成分)。我们分析了大量的数值模拟,使用涡丝方法,解决了完整的Biot-Savart方程的旋涡动力学在很宽的温度范围和逆流速度。除了详细分析传统的特性,如涡线密度,各向异性和曲率参数的涡缠结,我们强调其他动力学和统计特性,这是研究得更少,甚至没有研究。后者包括重连率、平均相互摩擦力、漂移速度和各种缠结参数的概率分布函数:环长、线曲率、给定长度环的平均曲率等。在这些研究中,我们比较了文献中广泛使用的三种主要重联方法,并且识别哪些属性受到重连标准的选择的强烈影响以及哪些属性实际上对重连过程不敏感。结果表明,在Biot-Savart方程框架下的涡丝方法具有足够的鲁棒性,非常适合于描述量子逆流中的稳态涡旋纠缠.对该方程的局部诱导近似可以成功地用于分析建立随机涡旋缠结的平均特征之间的关系。

英文摘要:

The main goal of this paper is to present a comprehensive characterization of well developed vortex tangles in a turbulent counterflow in quantum fluids (with a laminar normal fluid component). We analyze extensive numerical simulations using the vortex filament method, solving the full Biot-Savart equations for the vortex dynamics in a wide range of temperatures and counter-flow velocities. In addition to a detailed analysis of traditional characteristics such as vortex line density, anisotropic and curvature parameters of the vortex tangle, we stress other dynamical and statistical characteristics which are either much less studied or even unstudied. The latter include reconnection rates, mean mutual friction forces, drift velocities and the probability distribution functions of various tangle parameters: the loop length, the line curvature, the mean curvature of loops with a given length, etc. During these studies we compare the three main reconnection procedures which are widely used in the literature, and identify which properties are strongly affected by the choice of the reconnection criteria and which of them are practically insensitive to the reconnection procedure. The conclusion is that the vortex filament method in the framework of the Biot-Savart equation sufficiently robust and well suited for the description of the steady state vortex tangle in a quantum counterflow. The Local-Induction Approximation to this equation may be successfully used to analytically establish relationships between mean characteristics of the stochastic vortex tangle.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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