A probabilistic method for field solutions in two‐phase flows
作者:
J. Zhang,
M. C. Roco,
期刊:
International Journal for Numerical Methods in Fluids
(WILEY Available online 1993)
卷期:
Volume 16,
issue 1
页码: 65-81
ISSN:0271-2091
年代: 1993
DOI:10.1002/fld.1650160105
出版商: John Wiley&Sons, Ltd
关键词: Probabilistic numerical method;Neumann expansion method;Fluid flow;Solid‐liquid two‐phase flow;Stochastic process
数据来源: WILEY
摘要:
AbstractSolid‐particle motion and related transport phenomena in two‐phase flow are fluctuating processes in space and time. A deterministic method can describe only partially the intrinsic physics of these processes. In this paper, the fluctuations of the flow parameters are modelled by considering the spatial correlations, and a probabilistic computational method for two‐phase flow is presented. The probabilistic governing equations have been discretized in space using a finite volume method, and then solved by applying the Neumann expansion method. This last method is time efficient, and its convergence can be guaranteed even for large fluctuations. A liquid‐solid particle mixture flow in a circular pipe is taken as an example. Computational results illustrate the merit of the probabilistic approach for the prediction of two‐phase flow
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