可压缩颗粒圆孔射流并行直接数值模拟算法研究

Investigation of Direct Numerical Simulation Algorithms on Two-Phase Compressible Spatially Evolving Particle-Laden Ciecujet Jet

对空间模式发展的气固两相圆孔射流中颗粒与流体双相耦合作用进行了并行环境下的直接数值模拟算法研究。气相流场采用可压缩的N-S方程直接求解。计算颗粒场时,采用Lagrangian方法跟踪实际的颗粒运动。利用并行求解算法,实现了颗粒穿越边界面的模拟。为了模拟颗粒对流体的作用,考虑了颗粒和流体的双相耦合。在本文的计算条件下,颗粒的直径远小于网格的间距,平均的Kolmogorov尺度和网格的间距在一个量级,保证了DNS的要求。气相和颗粒相的应力与实验的对比研究表明,本文的颗粒并行程序是可信的。

We investigate the direct numerical simulation algorithm on two-phase compressible spatial evolving particle laden circular jet with two-way coupling. The compressible Navier-Stokes equations are solved for the gas-phase including the continuity, momentum, energy and perfect gas state equations. The Eulerian-Lagrangian point-particle approach is used for the solving of the particle phase. A new parallel particle algorithm is proposed in our paper, and we successfully track the particles crossing the computational boundary, which is subdivided by the domain-decomposition method. The diameter of particle is far less than the grid spacing and the mean kolmogorov scale is at the same order of grid spacing, which is largely restricted by the requirement of DNS simulation method. The simulation results of particle-laden circular jet are compared well with experimental data, and convince that our parallel algorithms are convincible for future research on two-phase particle-laden flow.