Uncovering dynamic behaviors underlying experimental oil–water two-phase flow based on dynamic segmentation algorithm
Uncovering dynamic behaviors underlying experimental oil–water two-phase flow based on dynamic segmentation algorithm
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DOI：
10.1016/j.physa.2012.11.002
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发表时间：
2013-03
影响因子：
3.3
通讯作者：
Zhongke Gao;N. Jin
中科院分区：
文献类型：
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作者：
Zhongke Gao;N. Jin
描述各种倾斜油水两相流流型所产生的复杂动力学行为是非线性动力学和流体力学领域中的一个具有挑战性的问题。系统地进行了倾斜油水两相流实验，测量了不同流型下电导率波动的时间序列信号。我们使用相空间重构结合的动态分割算法来分析测量的实验信号，以揭示不同流动模式下的动态行为。具体而言，给定来自两相流的时间序列，我们在时间序列上移动滑动指针，并且对于指针的每个位置，我们计算从指针的左侧和右侧的段生成的相空间轨道的动态差度量。为了揭示倾斜油水两相流的动力学特性，对不同流动条件下的实验信号进行了研究。结果表明，动态差分测量序列的非均匀性对不同流型之间的转换非常敏感，动态差分测量序列的标准差可以定量地反映两相流的非线性动力学行为。这些特性使得基于动态分割算法的方法对于揭示倾斜油水两相流的动态行为特别有用。
Characterizing complex dynamic behaviors arising from various inclined oil–water two-phase flow patterns is a challenging problem in the fields of nonlinear dynamics and fluid mechanics. We systematically carried out inclined oil–water two-phase flow experiments for measuring the time series conductance fluctuating signals of different flow patterns. We using the dynamic segmentation algorithm incorporating with phase space reconstruction analyze the measured experimental signals to uncover the dynamic behaviors underlying different flow patterns. Specifically, given a time series from a two-phase flow, we move a sliding pointer over the time series and for each position of the pointer we calculate the dynamic difference measure of the phase space orbits generated from the segment to the left and to the right of the pointer. A number of experimental signals under different flow conditions are investigated in order to reveal the dynamical characteristics of inclined oil–water flows. The results indicate that the heterogeneity of dynamic difference measure series is sensitive to the transition among different flow patterns and the standard deviation of dynamic difference measure series can yield quantitative insights into the nonlinear dynamics of the two-phase flow. These properties render the dynamic segmentation algorithm-based approach particularly useful for uncovering the dynamic behaviors of inclined oil–water two-phase flows.