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arXiv 2501.18599physics.comp-phphysics.flu-dyn
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非平衡多组分分子气体流动模拟的随机BGK和FP方法比较

Comparison of stochastic BGK and FP methods for the simulation of non-equilibrium multi-species molecular gas flows

Franziska Hild, Marcel Pfeiffer

AI总结:

本文针对非平衡多组分分子气体流动,在开源代码PICLas中实现了基于粒子弛豫过程的随机BGK和FP方法,以替代计算成本高的DSMC方法,并通过测试用例验证了其有效性。

摘要:

由于非平衡气体流动的实验研究手段有限,数值结果备受关注。尽管成熟的直接模拟蒙特卡洛(DSMC)方法能获得高精度解,但在较低Knudsen区域其计算需求过度增加。采用基于随机连续介质的方法,即使用Bhatnagar-Gross-Krook(BGK)或Fokker-Planck(FP)近似,考虑粒子弛豫过程而非粒子碰撞,可实现计算效率更高的模拟。本文介绍了开源粒子代码PICLas中用于多组分分子气体流动的不同随机BGK和FP方法的实现。为验证结果,对不同测试用例的结果进行了比较。

英文摘要:

Due to limited possibilities of experimental investigations for non-equilibrium gas flows, numerical results are of highest interest. Although the well-established Direct Simulation Monte Carlo (DSMC) method achieves highly accurate solutions, the computational requirements increase excessively for lower Knudsen regimes. Computationally more efficient simulations can be achieved with stochastic continuum-based methods using either the Bhatnagar-Gross-Krook (BGK) or the Fokker-Planck (FP) approximations where, instead of particle collisions, particle relaxation processes are considered. This paper explains the implementation of different stochastic BGK and FP methods in the open-source particle code PICLas for multi-species molecular gas flows. For verification, the results of different test cases are compared.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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