A BGK-Type Model for Multi-component Gas Mixtures Undergoing a Bimolecular Chemical Reaction

IF 1.2 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2024-12-30 DOI:10.1007/s10955-024-03389-3
G. Martalò, A. J. Soares, R. Travaglini
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Abstract

We propose a new kinetic BGK-type model for a mixture of four monatomic gases, undergoing a bimolecular and reversible chemical reaction. The elastic and reactive interactions are described separately by distinct relaxation terms and the mechanical operator is the sum of binary BGK contributions, one for each pair of interacting species. In this way, our model separately incorporates the effects of mechanical processes and chemical reactions. Additionally, it retains the effects of inter-species interactions which are proper of the mixture. The dependence of Maxwellian attractors on the main macroscopic fields is explicitly expressed by assuming that the exchange rates for momentum and energy of mechanical and chemical operators coincide with the ones of the corresponding Boltzmann terms. Under suitable hypotheses, the relaxation of the distribution functions to equilibrium is shown through entropy dissipation. Some numerical simulations are included to investigate the trend to equilibrium.

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进行双分子化学反应的多组分气体混合物的bgk型模型
我们提出了一个新的动力学bgk型模型,四种单原子气体的混合物,经历双分子和可逆的化学反应。弹性相互作用和反应相互作用由不同的松弛项分别描述,机械算符是二元BGK贡献的总和,每对相互作用物种一个。这样,我们的模型就分别考虑了机械过程和化学反应的影响。此外,它保留了物种间相互作用的影响,这是混合物的固有特性。麦克斯韦吸引子对主要宏观场的依赖通过假设机械和化学算符的动量和能量的交换率与相应的玻尔兹曼项的交换率一致来明确表示。在适当的假设下,分布函数通过熵耗散的方式松弛到平衡状态。通过数值模拟来研究平衡的趋势。
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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
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