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Burgers turbulence and passive random advection.

机译:汉堡湍流和被动随机对流。

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摘要

The thesis is devoted to development of new methods in the theory of strong turbulence. These methods are illustrated with the so-called Burgers' model of turbulence, i.e., the Navier-Stokes equation without pressure, supplemented by a Gaussian, short-time correlated external force. The main goal of the theory is to describe the statistics of the velocity field. Since the Navier-Stokes equation is nonlinear, the problem is highly nontrivial; it is sometimes referred to as the “Ising model” of strong turbulence. The importance of the problem for plasma physics, astrophysics, physics of self-organized criticality, disordered systems, etc., is discussed in Chapter 1.; In this thesis a new self-consistent theoretical approach to the problem is developed. The problem is treated from the field-theoretical point of view, and, therefore, appropriate methods such as regularization, operator product expansion, and an assumption about scaling invariance are employed.; The scheme “from particular to general” is adopted. The main ideas of the approach are first developed in detail for the one-dimensional Burgers model in Chapter 2 and then generalized to the multidimensional case in Chapter 3. In all of the cases the velocity-difference and velocity-gradient probability density functions are obtained. Their derivation is based on the self-consistent conjecture about the operator product expansion for the dissipative term, introduced by Polyakov [1995]. Comparison of the obtained results with the available direct numerical simulations shows a very good agreement. The practically important longitudinal velocity-difference PDF and div v PDF in the multidimensional case are discussed within the approach.; In Chapter 4 the statistics of passive quantities (such as temperature, concentration, magnetic field) “frozen” into the turbulent fluid are obtained by using the methods developed in Chapters 2 and 3. The velocity field is assumed to be Gaussian, and short-time correlated, and the diffusivity is neglected. These considerations illustrate that even with simple statistics of the velocity field, the statistics of advected quantities are nontrivial due to nonlinear interactions of different spatial directions.; The last Chapter 5 summarizes the results and discusses future directions of research.
机译:本文致力于发展强湍流理论中的新方法。这些方法用所谓的Burgers湍流模型进行说明,即无压力的Navier-Stokes方程,并辅以高斯短时相关外力。该理论的主要目的是描述速度场的统计数据。由于Navier-Stokes方程是非线性的,因此该问题非常重要。它有时被称为强湍流的“发声模型”。第1章讨论了该问题对等离子体物理学,天体物理学,自组织临界物理学,无序系统等的重要性。本文提出了一种新的自洽的理论方法。从现场理论的角度解决该问题,因此,采用诸如正则化,算子乘积展开和关于缩放不变性的假设之类的适当方法。采用“从特殊到普遍”的方案。该方法的主要思想在第2章中首先针对一维Burgers模型进行了详细开发,然后在第3章中推广到多维情况。在所有情况下,均获得了速度差和速度梯度概率密度函数。它们的推导基于Polyakov [1995]引入的关于耗散项的算子乘积展开的自洽猜想。将所得结果与可​​用的直接数值模拟进行比较显示出很好的一致性。该方法讨论了多维情况下实际重要的纵向速度差PDF和 div v PDF。在第4章中,使用第2章和第3章开发的方法获得了“冻结”到湍流流体中的被动量(例如温度,浓度,磁场)的统计量。假定速度场为高斯分布,并且时间相关,并且扩散率被忽略。这些考虑表明,即使使用简单的速度场统计,由于不同空间方向的非线性相互作用,对流量的统计也很重要。最后的第5章总结了结果并讨论了未来的研究方向。

著录项

  • 作者单位

    Princeton University.;

  • 授予单位 Princeton University.;
  • 学科 Physics Fluid and Plasma.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 84 p.
  • 总页数 84
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 等离子体物理学;
  • 关键词

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