191 / 2023-04-15 16:57:54
Plasma kinetics: Discrete Boltzmann modelling and Richtmyer-Meshkov instability
plasma kinetic,magnetohydrodynamic,Richtmyer-Meshkov instability
摘要录用
Jiahui Song / Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, PR China;School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, PR China
Aiguo Xu / Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, PR China;HEDPS, Center for Applied Physics and Technology, and College of Engineering, Peking University, Beijing 100871, PR China;State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, PR China
Long Miao / School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, PR China
Feng Chen / School of Aeronautics, Shandong Jiaotong University, Jinan 250357, PR China
Zhipeng Liu / Department of Physics, School of Science, Tianjin Chengjian University, Tianjin, 300384, PR China
Li-Feng Wang / Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, PR China
Ningfei Wang / School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, PR China
Plasma exists widely in natural and industrial fields such as initial confinement fusion (ICF). Compared with neutral fluids, the spatial and temporal scales are more abundant and complex in plasma system, which brings great challenge to the relevant theoretical, experimental and numerical research. Therefore, the establishing of accurate and reliable physical models for predicating and capturing those multi-scale structures is of great importance for understanding the fundamental and underlying physical mechanisms of plasma systems.

At present, three kinds of physical models are mainly adopted for plasma system. The first kinds are various magnetohydrodynamic fluids equations based on continuum hypothesis, which are most mature and widely used. The second kinds are molecular dynamics based on Newton's second law. The third kinds are various kinetic methods based on non-equilibrium statical physics which bridge macroscopic and microscopic models. From microscopic to macroscopic, the step by step transformation of the model causes the decline of the description ability, but extend the spatio-temporal scope of numerical simulation.

In general, the small structures, fast changing modes and abundant interfaces such as material interface and shock wave, will usually cause plasma system in strong thermodynamic non-equilibrium state (TNE) state, which may undermine the validity of macroscopic models. Besides, researchers have pointed out that the kinetic effects caused by particle collisions may have the potential to impact the ICF, which deserved more attention.

In this work, a discrete Boltzmann model (DBM) for plasma kinetics is proposed. The DBM contains two physical functions. The first is to capture the main features aiming to investigate and the second is to present schemes for checking thermodynamic non-equilibrium state and describing TNE effects. For the first function, mathematically, the model is composed of a discrete Boltzmann equation coupled by a magnetic induction equation. Physically, the model is equivalent to a hydrodynamic model plus a coarse-grained model for the most relevant TNE behaviors including the entropy production rate. The first function is verified by recovering hydrodynamic non-equilibrium (HNE) behaviors of a number of typical benchmark problems. Extracting and analyzing the most relevant TNE effects in Orszag-Tang problem are practical applications of the second function. As a further application, the Richtmyer-Meshkov instability with interface inverse and re-shock process is numerically studied. It is found that, in the case without magnetic field, the non-organized momentum flux shows the most pronounced effects near shock front, while the non-organized energy flux shows the most pronounced behaviors near perturbed interface. The influence of magnetic field on TNE effects shows stages: before the interface inverse, the TNE strength is enhanced by reducing the interface inverse speed; while after the interface inverse, the TNE strength is significantly reduced. Both the global averaged TNE strength and entropy production rate contributed by non-organized energy flux can be used as physical criteria to identify whether or not the magnetic field is sufficient to prevent the interface inverse.

 
重要日期
  • 会议日期

    06月05日

    2023

    06月09日

    2023

  • 04月30日 2023

    提前注册日期

  • 05月01日 2023

    摘要截稿日期

  • 05月01日 2023

    摘要录用通知日期

  • 05月01日 2023

    初稿截稿日期

  • 05月31日 2023

    注册截止日期

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等离子体物理重点实验室
北京师范大学天文系
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Matter and Radiation at Extremes期刊
中国工程物理研究院流体物理研究所
北京应用物理与计算数学研究所
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