相互连接的顺序模式复杂网络,用于描述气液双相流的空间合行为
Meng Du1, Jie Wei1, Meng-Yu Li2
1School of Electrical Engineering and Automation, Tianjin University of Science and Technology, Tianjin 300222, China.
Chaos (Woodbury, N.Y.)
|June 5, 2023
概括
本研究引入了一种新的网络方法,通过测量空间合来分析气液双相流动模式. 这种方法增强了对复杂流动行为及其在各种条件下的演变的理解.
科学领域:
- 流体动力学 流体动力学
- 复杂系统分析 复杂系统分析
- 网络科学 网络科学
背景情况:
- 了解气液两相流动模式对于许多工业过程至关重要.
- 这些流中的复杂的相位相互作用和空间合行为仍然不太了解.
- 现有的方法缺乏充分捕捉流动模式演变的复杂动态的能力.
研究的目的:
- 开发一种新的方法来研究气液两相流动模式中的空间合.
- 量化测量不同流动模式的空间合的强度.
- 为了更深入地了解控制多相流系统的进化机制.
主要方法:
- 使用来自气液两相流的多变量波动信号.
- 提出一个相互连接的顺序模式网络来分析空间合.
- 使用全球子网络相互信息 (I) 和全球子网络集群系数 (C) 作为网络指数.
主要成果:
- 相互连接的顺序模式网络有效地捕捉了气液两相流中的空间合行为.
- 网络指数 (I和C) 在数量上区分各种流动模式.
- 流量模式演变的特点是根据不同的流量条件计算合指数.
结论:
- 拟议的网络方法为分析多相流系统提供了一个新的工具.
- 这种方法可以更深入地了解复杂流动行为的进化机制.
- 该方法可以扩展到研究其他复杂系统中的合,并进行多次观测.
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