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Asymptotic Telegrapher's Equation (P_1) Approximation for the Transport Equation

机译:输运方程的渐近电报方程(P_1)逼近

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摘要

The diffusion approximation for the Boltzmann (transport) equation suffers from several disadvantages. First, the diffusion approximation succeeds in describing the particle density only if it is isotropic, or close to isotropic. This feature causes the diffusion approximation to be quite accurate for highly isotropically scattering media but to yield poor agreement with the exact solution for the particle density in the case of nonisotropic behavior. To handle general media, the asymptotic diffusion approximation was first developed in the 1950s. The second disadvantage is that the parabolic nature of the diffusion equation predicts that particles will have an infinite velocity; particles at the tail of the distribution function will show up at infinite distance from a source in time t = 0+. The classical P_1 approximation (which gives rise to the Telegrapher's equation) has a finite particle velocity but with the wrong value, namely, v/3~(1/2). In this paper we develop a new approximation from the asymptotic solution of the time-dependent Boltzmann equation, which includes the correct eigenvalue of the asymptotic diffusion approximation and the (almost) correct time behavior (such as the particle velocity), for a general medium.
机译:Boltzmann(运输)方程的扩散近似具有几个缺点。首先,仅当扩散近似为各向同性或接近各向同性时,扩散近似才能成功描述粒子密度。此特征使扩散近似对于高度各向同性的散射介质非常准确,但在非各向同性行为的情况下,与粒子密度的精确解的一致性差。为了处理一般媒体,渐近扩散近似法最早是在1950年代开发的。第二个缺点是扩散方程的抛物线性质预测粒子将具有无限的速度。分布函数尾部的粒子将在时间t = 0+处与源无限距离出现。经典的P_1近似(产生电报机方程)具有有限的粒子速度,但具有错误的值,即v / 3〜(1/2)。在本文中,我们从时变玻尔兹曼方程的渐近解中开发了一个新的近似值,其中包括一般介质的渐近扩散近似的正确特征值和(几乎)正确的时间行为(例如粒子速度)。 。

著录项

  • 来源
    《Nuclear science and engineering》 |2010年第1期|P.17-35|共19页
  • 作者

    Shay I. Heizler;

  • 作者单位

    Bar-Ilan University, Department of Physics, Ramat-Gan, Israel Nuclear Research Center-Negev, Department of Physics P.O. Box 9001, Beer Sheva 84190, Israel;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:43:40

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