CIESC Journal

• 化工学报 •    下一篇

连续流动系统停留时间分布的随机模型和模拟

戎顺熙,范良政   

  1. 浙江大学化工系 ,美国堪萨斯州立大学化工系
  • 出版日期:1986-09-25 发布日期:1986-09-25

Stochastic Modeling and Simulation of The Residence Time Distribution for Continuous-Flow Systems

Rong Shunxi (Department of Chemical Engineering, Zhejiang University) L. T. Fan (Department of Chemical Engineering, Kansas State University, USA)   

  • Online:1986-09-25 Published:1986-09-25

摘要: 本文提出一个具有吸收态的马尔科夫链(Markov Chain)随机模型,分析和模拟了各种形式的连续流动系统的停留时间分布.模拟结果与确定型模拟结果吻合很好;本模型可以模拟复杂的连续流动系统,但在此情况下,确定型模拟工作是困难的,有时甚至是不可能的.采用本模型还能同时得到停留时间分布的均值和方差;只要选取适当小的时间间隔△t:本模型能满意地逼近连续的随机过程模型.

Abstract: In this paper, a stochastic approach, namely, a Markov chain with transient and absorbing states, has been used to generate the residence time distribution for any conceivable flow model. All calculations have been carried out with the aid of a computer. The present results compare favorably with those obtained by earlier investigators. However, the present approach is applicable to complex flow systems for which the deterministic mathematical description of them is very complicated, or impossible. The mean and variance of the residence time distribution are readily obtained from this model. Potential applications of this model are numerous, especially for particulate systems.