一维二元随机介质中弦长抽样的研究

Chao Liang, W. Ji
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引用次数: 4

摘要

当弦长采样方法用于求解随机介质中夹杂物在背景区域随机分布的辐射输运问题时,由于记忆效应和边界效应两大因素的影响,会产生误差。在本文中,通过应用弦长采样来解决一维二进制随机介质中的固定源和特征值问题,研究了这两种影响如何以及为什么会导致最终解的不准确性。该研究是基于一系列的辐射输运模拟来计算反射率、通量分布和有效倍增因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Chord Length Sampling in 1-D Binary Stochastic Media
When the chord length sampling method is applied to solve radiation transport problems in random media where inclusions are randomly distributed in a background region, inaccuracy occurs due to two major factors: memory effect and boundary effect. In this article, by applying chord length sampling to solve fixed source and eigenvalue problems in 1-D binary stochastic media, an investigation on how and why these two effects give rise to the inaccuracy in the final solutions is performed. The investigation is based on a series of radiation transport simulations for the calculation of reflection rate, flux distribution, and effective multiplication factor.
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来源期刊
Transport Theory and Statistical Physics
Transport Theory and Statistical Physics 物理-物理:数学物理
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