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A COST-EFFECTIVE SEARCH OF COLLISION PAIRS IN LAGRANGIAN PARTICLE TRACKING METHOD

机译:拉格朗日粒子跟踪方法中碰撞对的成本有效搜索

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In the simulation of particle-laden flows, in which the inter-particle collisions have to be considered, using the Eulerian-Lagrangian approach, it is agreed that the search of collision pairs based on the deterministic particle tracking method together with the binary-collision, hard-sphere model is a time consuming job in the computational procedure particularly for the flow laden with a remarkably high number density of particles. A cost-effective algorithm for the particle tracking processes which include solving the equations of motion, searching the collision pairs, and updating the list of neighboring particles' indices is developed. It is demonstrated in the turbulent, fully developed, particle-laden channel flows that the computational expenditure required for completing the particle tracking processes in a given Lagrangian time step can be optimally made with an approximately linear proportionally to the total number of particles (N_(PT) ) by setting the number of Lagrangian cells (N_(cell)) for computation in accordance with the criterion of N_(PT)/N_(cell) = O(10~0).
机译:在使用Eulerian-Lagrangian方法模拟必须考虑粒子间碰撞的载有粒子的流中,同意基于确定性粒子跟踪方法和二元碰撞对碰撞对进行搜索硬球模型在计算过程中是一项耗时的工作,特别是对于载有非常高的粒子数密度的流而言。开发了一种用于粒子跟踪过程的具有成本效益的算法,该算法包括求解运动方程,搜索碰撞对以及更新相邻粒子索引列表。在湍流,充分发展的,充满粒子的通道流中证明,在给定的拉格朗日时间步长中完成粒子跟踪过程所需的计算费用可以最佳地近似与粒子总数成线性比例(N_(通过根据N_(PT)/ N_(cell)= O(10〜0)的准则设置用于计算的拉格朗日单元数(N_(cell))来确定PT))。

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