【摘要】 本文由流体－颗粒速度的拉氏联合概率密度函数（ＰＤＦ）输运方程出发，用Ｓｉｍｏｎｉｎ建议的Ｌａｎｇｅｖｉｎ模型封闭颗粒所遇到流体瞬时速度的条件期望项，并用Ｍｏｎｔｅ Ｃａｒｌｏ方法直接求解 ＰＤＦ输运方程，将其和求解流体雷诺应力方程模型的有限差分方法结合，建立了雷诺应力－拉氏ＰＤＦ（ＤＳＭ－ＬＰＤＦ，简称ＤＬ）两相湍流模型．用此模型模拟了旋流数为０．４７的突扩旋流气粒两相流动，并与文献中ＰＤＰＡ实验和用类似于单相流动湍流模型封闭方法的时平均统一二阶矩（ＵＳＭ）模型的预报进行了对比．更多还原

【Abstract】 A Differential Stress-Lagrangian Probability Density Function model (DSM-LPDF) is proposed for simulating two-phase turbulence. The particle turbulence is described by a transport equation model of gas-particle joint probability density function, where the stochastic motion of gas eddies seen by particles is modeled by an Langevin process, as suggested by Simonin. To solve the JPDF equation for particle phase, the Monte Carlo simulation is introduced, while the DSM equations for the gas phase were solved by a finite difference method. The DSM-LPDF model was applied to simulate a swirling gas-particle turbulent flow with swirl number of 0.47. The prediction results are compared with PDPA measurement data and those predicted using the unified second-order moment model (USM).更多还原