计算物理 ›› 2021, Vol. 38 ›› Issue (6): 631-660.DOI: 10.19596/j.cnki.1001-246x.8379

• 综述 •    下一篇

基于相空间的复杂物理场建模与分析方法

许爱国1,2,3(), 宋家辉4,1, 陈锋5, 谢侃4, 应阳君1   

  1. 1. 北京应用物理与计算数学研究所, 北京 100088
    2. 北京理工大学爆炸科学与技术国家重点实验室, 北京 100081
    3. 北京大学应用物理与技术研究中心和高能量密度物理数值模拟教育部重点实验室, 北京 100871
    4. 北京理工大学宇航学院, 北京 100081
    5. 山东交通学院航空学院, 山东 济南 250357
  • 收稿日期:2021-04-15 出版日期:2021-11-25 发布日期:2022-04-27
  • 作者简介:许爱国(1970-), 男, 研究员, 研究方向为物理力学、理论物理, E-mail: Xu_Aiguo@iapcm.ac.cn
  • 基金资助:
    国家自然科学基金(11772064);中国工程物理研究院创新发展基金创新项目(CX2019033);爆炸科学与技术国家重点实验室(北京理工大学)开放课题(KFJJ21-16M);山东省自然科学基金(ZR2020MA061);山东省高等学校青创科技支持计划(2019KJJ009)

Modeling and Analysis Methods for Complex Fields Based on Phase Space

Aiguo XU1,2,3(), Jiahui SONG4,1, Feng CHEN5, Kan XIE4, Yangjun YING1   

  1. 1. Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
    2. State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China
    3. HEDPS, Center for Applied Physics and Technology and College of Engineering, Peking University, Beijing 100871, China
    4. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
    5. Shan Dong Jiaotong University, Jinan, Shandong 250357, China
  • Received:2021-04-15 Online:2021-11-25 Published:2022-04-27

摘要:

评述两个基于相空间的建模与分析方法及其应用。第一个是基于闵可夫斯基泛函的形态分析方法,第二个是基于离散玻尔兹曼方程的建模与分析方法。两者均是统计物理学相空间描述方法的进一步发展:以相对独立的行为特征量为基,构建相空间,使用该相空间和其子空间来描述系统的行为特征;该相空间中的一个点对应系统的一组行为特征;两点间的距离d可用来描述两组行为特征的差异,其倒数可用来描述两组行为特征的相似度(S=1/d);一段时间内两点间距离的平均值${\bar d}$可用来描述两个动理学过程的差异,其倒数可用来描述这两个动理学过程的相似度(Sp=1/${\bar d}$)。从历史角度,基于闵可夫斯基泛函的形态相空间分析方法在先,接受其启发是离散玻尔兹曼方法朝着相空间描述方法发展过程中的关键环节。形态分析方法独立于数据来源,因而离散玻尔兹曼模拟得到的结果,除了可以使用其自带的分析功能之外,还可进一步使用形态分析方法获得另一个层面或视角的认识。在复杂介质动理学研究中,这两个方法从不同的视角,使得许多以前无法提取的信息得以分层次、定量化研究。

关键词: 离散玻尔兹曼方法, 形态分析方法, 复杂物理场, 统计物理, 相空间

Abstract:

We review two modeling and analysis methods based on phase space and their applications. The first is Minkowski functionals-based Morphological Analysis Method (Min-MAM), and the second is Discrete Boltzmann modeling and analysis Method (DBM). Both of them are developed from phase space description in statistical physics. Based on independent behavior characteristic quantities, a phase space is constructed, and the phase space and its subspaces are used to describe behavior characteristics of a system. A given point in the phase space corresponds to a set of behavior characteristics of the system. The distance d between two points is used to describe the difference of two groups of behavioral characteristics, and its reciprocal, S=1/d, is used to describe similarity of two groups of behavioral characteristics. Mean value of the distance between two points over a period of time, ${\bar d}$, is used to describe difference between two kinetic processes, and its reciprocal, Sp=1/${\bar d}$, is used to describe similarity of two kinetic processes, Historically, Min-MAM appeared earlier. Receiving its inspiration is the key step in the development of discrete Boltzmann method towards phase space description method. Min-MAM is independent of data sources, so results obtained with discrete Boltzmann simulation can be further understood on another level or perspective by using Min-MAM, in addition to its own analysis functions. In the study of complex media kinetics, these two methods, from different perspectives, provide information that can be stratified and studied quantitatively.

Key words: discrete Boltzmann method, morphological analysis method, complex fields, statistical physics, phase space

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