摘要
颗粒轨道模型的一个难点是跟踪颗粒在不同时刻所处的网格位置,才能确定颗粒与当地流体间的相互作用.最近发展的3 种颗粒跟踪和定位算法,通过比较发现Chen Pereira算法和R.Chorda算法搜索的网格数目一样,都比Zhou Leschziner算法搜索的网格数目少,但R.Chorda算法所需要的时间更少.该文将R.Chorda算法应用于带有颗粒相喷流反作用系统的高超声速拦截器外流场数值模拟.
The numerical simulation of fluid flow by means of Lagrangian techniques typically involves the tracking of the particles within the spatial domain of the problem. The principal output of the algorithms is the identification of the grid cell within which the particles resides at any time during the tracking of its trajectory. This information is required for the solution of the particle-motion equations and for modeling the exchange processes between the particle and surrounding fluid. The present paper reviews three recently published, particle-locating algorithms within arbitrary two-dimensional or three-dimensional grid. The Chen-Pereira algorithm and the R. Chorda algorithm offers shorter search paths during the tracking of the particle trajectory. And the R. Chorda algorithm is faster than the other two algorithms. A detailed numerical simulation of a lateral jet interacting with a hypersonic cross flow was performed using the R. Chorda algorithm.
出处
《弹道学报》
EI
CSCD
北大核心
2005年第1期82-87,共6页
Journal of Ballistics
关键词
两相流
颗粒轨道模型
颗粒
定位
跟踪
two phase flow, discrete phase models, locating, tracking
