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The Analytical Discrete Ordinates Method for a One-Dimensional Model of Neutral Particle Transport in Ducts

机译:管道中性粒子传输的一维模型的解析离散坐标方法

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摘要

The analytical discrete ordinates (ADO) method is used to develop an approximate, but accurate, solution to a one-dimensional model of neutral particle transport in ducts proposed originally by Prinja and Pomraning. The implementation of the ADO method is facilitated by a variable transformation that is used to rewrite the Prinja-Pomraning equation in a form very similar to that of the Bhatnagar-Gross-Krook model equation in rarefied gas dynamics. Techniques of linear algebra are used to find an analytical solution for the linear system that has to be solved for the superposition coefficients of the ADO method in the case of a semi-infinite duct. Numerical results for the reflection and transmission probabilities that illustrate the capability of the method are tabulated for semi-infinite and finite ducts of circular cross section and two types of particle incidence: isotropic incidence and incidence described by the Dirac delta distribution. It is concluded that the ADO method can achieve a desired precision in the reflection and transmission probabilities with a much lower quadrature order than previously used numerical implementations of the discrete ordinates method and consequently is much more efficient.
机译:分析离散纵坐标(ADO)方法用于为Prinja和Pomraning最初提出的管道中的中性粒子传输的一维模型建立近似但准确的解决方案。变量转换促进了ADO方法的实现,该变量转换用于重写Prinja-Pomraning方程,其形式与稀薄气体动力学中的Bhatnagar-Gross-Krook模型方程非常相似。线性代数技术用于找到线性系统的解析解,在半无限管的情况下,ADO系统的叠加系数必须求解。对于圆形横截面的半无限和有限导管以及两种粒子入射类型,将反映该方法功能的反射和透射概率的数值结果制成表格,这些粒子入射类型是:各向同性入射和由狄拉克δ分布描述的入射。结论是,ADO方法可以以比正交坐标方法以前使用的数值实现低得多的正交次数实现反射和透射概率的所需精度,因此效率更高。

著录项

  • 来源
    《Nuclear science and engineering》 |2014年第1期|35-51|共17页
  • 作者

    R. D. M. Garcia;

  • 作者单位

    Instituto de Estudos Avancados Trevo Cel. Av. Jose Alberto Albano do Amarante, 1, 12228-001 Sao Jose dos Campos, SP, Brazil;

  • 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 00:42:54

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