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磁发电机的优化。

Optimization of the magnetic dynamo.

机构信息

School of Mathematics and Statistics, University of Sheffield, Sheffield S3 7RH, United Kingdom.

出版信息

Phys Rev Lett. 2012 Dec 21;109(25):251101. doi: 10.1103/PhysRevLett.109.251101. Epub 2012 Dec 17.

Abstract

In stars and planets, magnetic fields are believed to originate from the motion of electrically conducting fluids in their interior, through a process known as the dynamo mechanism. In this Letter, an optimization procedure is used to simultaneously address two fundamental questions of dynamo theory: "Which velocity field leads to the most magnetic energy growth?" and "How large does the velocity need to be relative to magnetic diffusion?" In general, this requires optimization over the full space of continuous solenoidal velocity fields possible within the geometry. Here the case of a periodic box is considered. Measuring the strength of the flow with the root-mean-square amplitude, an optimal velocity field is shown to exist, but without limitation on the strain rate, optimization is prone to divergence. Measuring the flow in terms of its associated dissipation leads to the identification of a single optimal at the critical magnetic Reynolds number necessary for a dynamo. This magnetic Reynolds number is found to be only 15% higher than that necessary for transient growth of the magnetic field.

摘要

在恒星和行星中,磁场被认为起源于内部导电流体的运动,这一过程被称为发电机机制。在这封信中,优化程序被用于同时解决发电机理论的两个基本问题:“哪种速度场导致最大的磁能增长?”和“速度相对于磁扩散需要多大?”通常,这需要在几何形状内可能的连续无旋速度场的全空间中进行优化。这里考虑了周期性盒子的情况。用均方根幅度测量流动强度,存在一个最优速度场,但如果不对应变速率进行限制,优化容易发散。根据其相关耗散来测量流动,会在发电机所需的临界磁雷诺数下识别出单个最优速度场。发现这个磁雷诺数比磁场瞬态增长所需的磁雷诺数仅高 15%。

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