Monte Carlo Simulations of Pair Distribution Functions of Dense Discrete Random Media With Multiple Sizes of Particles
作者:
K.H. Ding,
C.E. Mandt,
L. Tsang,
J.A. Kong,
期刊:
Journal of Electromagnetic Waves and Applications
(Taylor Available online 1992)
卷期:
Volume 6,
issue 8
页码: 1015-1030
ISSN:0920-5071
年代: 1992
DOI:10.1163/156939392X00472
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
In a dense discrete random medium, the propagation and scattering of waves are affected by the statistics of the particle positions. For the case of particles of finite size, the positions of the particles relative to each other in the presence of other particles are correlated and the second order statistics are described by the pair distribution functions. In this paper, we perform Monte Carlo simulations of pair distribution functions of dense discrete random media consisting of particles of multiple sizes. The Metropolis technique and the sequential random addition of particles methods are used to generate a series of configurations through random processes. The pair distribution functions are calculated by counting the average occurrence of pair separation of particles. The Monte Carlo results of the particle pair distribution functions are illustrated and are compared with the results of the Percus-Yevick approximation. The results from the two Monte Carlo methods are found to be in good agreement.
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