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基于缺失有序模式的实验信号检测气液两相流流型确定性。

Detecting gas-liquid two-phase flow pattern determinism from experimental signals with missing ordinal patterns.

机构信息

College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China.

The Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom.

出版信息

Chaos. 2020 Sep;30(9):093102. doi: 10.1063/5.0016401.

Abstract

To address the issue of whether there exists determinism in a two-phase flow system, we first conduct a gas-liquid two-phase flow experiment to collect the flow pattern fluctuation signals. Then, we investigate the determinism in the dynamics of different gas-liquid flow patterns by calculating the number of missing ordinal patterns associated with the partitioning of the phase space. In addition, we use the recently proposed stretched exponential model to reveal the flow pattern transition behavior. With the joint distribution of two fitted parameters, which are the decay rate of the missing ordinal patterns and the stretching exponent, we systematically analyze the flow pattern evolutional dynamics associated with the flow deterministic characteristics. This research provides a new understanding of the two-phase flow pattern evolutional dynamics, and broader applications in more complex fluid systems are suggested.

摘要

为了解决两相流系统中是否存在决定性问题,我们首先进行了气液两相流实验来收集流型波动信号。然后,通过计算与相空间划分相关的缺失有序模式的数量,研究不同气液两相流型的动力学中的决定性。此外,我们使用最近提出的拉伸指数模型来揭示流型转变行为。通过两个拟合参数的联合分布,即缺失有序模式的衰减率和拉伸指数,我们系统地分析了与流决定性特征相关的流型演化动力学。本研究为两相流型演化动力学提供了新的认识,并建议在更复杂的流体系统中进行更广泛的应用。

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