Nonlinear characterization of gas liquid two-phase flow in complex networks
Nonlinear characterization of gas liquid two-phase flow in complex networks
复制标题
复杂网络中气液两相流的非线性表征
DOI：
10.1016/j.expthermflusci.2014.09.007
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发表时间：
2015
影响因子：
3.2
通讯作者：
Bo Zhang
中科院分区：
文献类型：
--
作者：
Qing-Ming Sun;Bo Zhang
为了从复杂网络的角度研究垂直上升管内气液两相流的非线性动力学行为，提出了一种新的研究方法。实验测试段为内径40 mm、长1.5 m的透明有机玻璃管。对泡状流、泡状弹状流、搅混流和搅混流5种流型进行了实验研究，构建了178个相应流型的复杂网络，以揭示两相流的动力学特性。研究发现，当阈值与相似矩阵均值的对应关系满足一定比例时，不同流型的复杂网络呈现出不同的社团结构。结果表明，流型复杂网络度分布的幂律指数和网络信息熵对流型的转变较为敏感，可以用来表征两相流的非线性动力学行为。结果表明，复杂网络方法是研究气液两相流非线性动力学的有效工具。
A new method is proposed to study nonlinear dynamic of gas liquid two-phase flow through a vertical upward pipe with the aim to make clear the two-phase flow behavior, from the complex networks perspective. The experimental test section is a transparent plexiglass pipe with inner diameter is 40 mm and the length is 1.5 m. Five kinds of flow pattern including bubble flow, bubble–slug flow, slug flow, slug–churn flow and churn flow are measured, and then constructed 178 corresponding flow pattern complex networks in order to reveal the dynamical characteristics of two-phase flow. It is found that different flow pattern complex network present different community structure, when the correspondence between the threshold and the mean of similarity matrix meet specific proportion. The results show that the power-law exponent of degree distribution and network information entropy of flow pattern complex network is sensitive to the flow pattern transition, which can be employed to characterize the nonlinear dynamics of two-phase flow. It is demonstrated that complex network approach can be an effective tool to study nonlinear dynamics of air water two-phase flow.
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影响因子：
1.8
作者：
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DOI：
10.1073/pnas.0806082105
发表时间：
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影响因子：
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作者：
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影响因子：
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作者：
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