气体混合物现象学和动力学理论的比较及在植绒中的应用

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED Physica D: Nonlinear Phenomena Pub Date : 2024-08-13 DOI:10.1016/j.physd.2024.134321
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引用次数: 0

摘要

我们从集合动力学的角度研究了气体混合物的现象学模型和动力学模型之间的比较。在成分为欧拉气体的情况下,质量、动量和能量的平衡方程在主微分部分是相同的,但成分间相互交换产生的项是不同的。只有当热扩散和机械扩散足够小时,它们才会重合。在本文中,我们首先验证了这两个模型都满足总质量、总动量和总能量守恒定律、伽利略不变性和熵原理的普遍要求。根据 Ha 和 Ruggeri(ARMA,2017 年)的研究,我们考虑了空间均质模型,这些模型对应于具有热效应的 Cucker Smale 模型的广义化。在这种情况下,我们提供了两个结果模型之间的分析比较结果,还提出了几个数值模拟来补充分析结果。
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On the comparison between phenomenological and kinetic theories of gas mixtures with applications to flocking

We study the comparison between the phenomenological and kinetic models for a mixture of gases from the viewpoint of collective dynamics. In the case in which constituents are Eulerian gases, balance equations for mass, momentum, and energy are the same in the main differential part, but production terms due to the interchanges between constituents are different. They coincide only when the thermal and mechanical diffusion are sufficiently small. In this paper, we first verify that both models satisfy the universal requirements of conservation laws of total mass, momentum, and energy, Galilean invariance and entropy principle. Following the work of Ha and Ruggeri (ARMA 2017), we consider spatially homogeneous models which correspond to the generalizations of the Cucker Smale model with thermal effect. In these circumstances, we provide analytical results for the comparison between two resulting models and also present several numerical simulations to complement analytical results.

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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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