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A Two-phase Turbulence PDF Model with Expanding Dimension Method of Colored Noise and Simulation of Wall-jet-flows
LI Zhaoxiang, XU Jiangrong, YANG Zhonghua
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS    2010, 27 (1): 38-44.  
Abstract361)      PDF (440KB)(994)      
With Langevin equation of particle motion,PDF equations in two levels are obtained in which the fluid fluctuation velocity is expanded in dimension and one-dimensional colored noise is transformed into two-dimensional white noise.They are two-phase PDF transport equation of turbulence and particle-phase PDF transport equation.With particle motion equations and assumption of Gaussian distribution,a closure problem of PDF equation is solved and a second-order-moment model is obtained.It is simplified into an algebra stress model [ASM].A finite analytic numerical method for convective diffusion equation is applied to solve the two-order moment model of two-phase flows.A wall-jet-flow loaded with solid particles is studied in the ASM by finite analytic numerical method.Numerical results are compared with experimental results.
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Small Correlation Time Colored Noise Method for Two-phase Turbulent Flows and Simulation of Wall-jet-flow
LI Zhaoxiang, XU Jiangrong, YANG Zhonghua
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS    2007, 24 (4): 413-418.  
Abstract243)      PDF (352KB)(1127)      
Based on a colored noise model with general Gaussian process,by functional derivation and small correlation time expansion,high-dimensional colored noises are calculated approximately and an effective Fokker-Planck equation(FPE) is derived.The effective FPE is applied to obtain probability density function transport equations of particles in two-phase flows and a second order moment model of two-phase flows.It is simplified into an algebra stress model(ASM).The finite analytic numerical method used in convective diffusion equation is applied to the second-order moment model.A wall-jet-flow loaded with solid particles is calculated with ASM and finite analytic numerical method.Numerical results are compared with experimental results.
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