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首页> 外文会议>IEEE International Conference on Plasma Science >New Multi-Weight Collision Algorithm For Dsmc/Pic Simulations Of Gases And Plasma Flows
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New Multi-Weight Collision Algorithm For Dsmc/Pic Simulations Of Gases And Plasma Flows

机译：用于气体和等离子体流的Dsmc / Pic模拟的新的多权重碰撞算法

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The direct simulation Monte Carlo (DSMC) and particle-incell (PIC) methods have been widely used to model the kinetics of gases and plasmas. In both DSMC and PIC, the Boltzmann equation is solved by representing distribution functions with a number of macro-particles that correspond to volumes in a phase space. Typically the weight of the macro-particles i.e., the number of real particles is kept the same for all species. However, in many problems of interest, there are multiple species of very different densities that undergo collisions. Collisions of particles with different weights is very challenging problem because splitmerge algorithms developed so far don't allow to conserve energy and momentum in the same time per each collision event. In this talk, we present the theory, development, and preliminary results of a novel multi-weight collision algorithm. The new algorithm is capable of handling collisions between species of different densities using particle-dependent weights, while conserving both momentum and energy in each collision event. Preliminary results for elastic collisions demonstrate the concept of the new multi-weight collision algorithm and show the relaxation process ofof monatomic gases.
机译：直接模拟蒙特卡洛（DSMC）和粒子内腔（PIC）方法已被广泛用于模拟气体和等离子体的动力学。在DSMC和PIC中，玻尔兹曼方程都是通过用大量与相空间中的体积相对应的宏观粒子表示分布函数来解决的。通常，对于所有种类，大颗粒的重量，即，真实颗粒的数量保持相同。但是，在许多有趣的问题中，有许多物种具有非常不同的密度，它们会发生碰撞。具有不同权重的粒子的碰撞是一个非常具有挑战性的问题，因为到目前为止开发的splitmerge算法不允许每个碰撞事件同时节省能量和动量。在本次演讲中，我们介绍了一种新颖的多权重碰撞算法的理论，发展和初步结果。新算法能够使用与粒子相关的权重来处理不同密度的物种之间的碰撞，同时在每次碰撞事件中既节省动量又节省能量。弹性碰撞的初步结果证明了新的多重碰撞算法的概念，并显示了单原子气体的弛豫过程。

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