arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1006.3133cond-mat.stat-mechnlin.CD
收藏

存在可压缩性时湍流混合对临界特性的影响:两个模式的重整化群分析

Effects of turbulent mixing on critical behaviour in the presence of compressibility: Renormalization group analysis of two models

N. V. Antonov, A. S. Kapustin

摘要:

本文用场论重整化群研究了两个系统在湍流混合作用下的临界行为。由平衡模型A描述的第一系统对应于非保守序参量的弛豫动力学。第二类是强非平衡反应扩散系统,称为Gribov过程,等价于Reggeon场论。湍流混合由Kazantsev-Kraichnan“快变”系综模拟:具有类幂谱k^{-d-ε}的时间去相关高斯速度场。研究了流体可压缩性的影响。结果表明,根据指数和空间维数d之间的关系,这两个系统表现出四种不同类型的临界行为,与四个可能的不动点的重整化群方程。最有趣的一点对应于一种新的临界行为,其中的非线性和湍流混合都是相关的,和临界指数依赖于d,λ和压缩性的程度。对于这两种模型,可压缩性增强了动力学方程中非线性项的作用:随着可压缩性程度的增加,d-ε平面中新的非平凡状态稳定的区域变得更宽。反过来,由于混合和非线性项的组合效应,湍流传递变得更有效。

英文摘要:

Critical behaviour of two systems, subjected to the turbulent mixing, is studied by means of the field theoretic renormalization group. The first system, described by the equilibrium model A, corresponds to relaxational dynamics of a non-conserved order parameter. The second one is the strongly non-equilibrium reaction-diffusion system, known as Gribov process and equivalent to the Reggeon field theory. The turbulent mixing is modelled by the Kazantsev-Kraichnan "rapid-change" ensemble: time-decorrelated Gaussian velocity field with the power-like spectrum k^{-d-ξ}. Effects of compressibility of the fluid are studied. It is shown that, depending on the relation between the exponent ξand the spatial dimension d, the both systems exhibit four different types of critical behaviour, associated with four possible fixed points of the renormalization group equations. The most interesting point corresponds to a new type of critical behaviour, in which the nonlinearity and turbulent mixing are both relevant, and the critical exponents depend on d, ξand the degree of compressibility. For the both models, compressibility enhances the role of the nonlinear terms in the dynamical equations: the region in the d-ξplane, where the new nontrivial regime is stable, is getting much wider as the degree of compressibility increases. In its turn, turbulent transfer becomes more efficient due to combined effects of the mixing and the nonlinear terms.

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。

↑