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Titlebook: Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks; Zhong-Ke Gao,Ning-De Jin,Wen-Xu Wang Book 2014 The Author(s)

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書目名稱Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks
編輯Zhong-Ke Gao,Ning-De Jin,Wen-Xu Wang
視頻videohttp://file.papertrans.cn/668/667329/667329.mp4
概述Complex network theory and its applications to multi-phase flow.Complex flow behavior in multi-phase flow.Details about complex networks from experimental time series signals are provided.Understandin
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks;  Zhong-Ke Gao,Ning-De Jin,Wen-Xu Wang Book 2014 The Author(s)
描述Understanding the dynamics of multi-phase flows has been a challenge in the fields of nonlinear dynamics and fluid mechanics. This chapter reviews our work on two-phase flow dynamics in combination with complex network theory. We systematically carried out gas-water/oil-water two-phase flow experiments for measuring the time series of flow signals which is studied in terms of the mapping from time series to complex networks. Three network mapping methods were proposed for the analysis and identification of flow patterns, i.e. Flow Pattern Complex Network (FPCN), Fluid Dynamic Complex Network (FDCN) and Fluid Structure Complex Network (FSCN). Through detecting the community structure of FPCN based on K-means clustering, distinct flow patterns can be successfully distinguished and identified. A number of FDCN’s under different flow conditions were constructed in order to reveal the dynamical characteristics of two-phase flows. The FDCNs exhibit universal power-law degree distributions. The power-law exponent and the network information entropy are sensitive to the transition among different flow patterns, which can be used to characterize nonlinear dynamics of the two-phase flow. FSC
出版日期Book 2014
關(guān)鍵詞Complex Networks; Multi-phase Flow; Nonlinear Dynamics; Sensors Integration; Time Series Analysis
版次1
doihttps://doi.org/10.1007/978-3-642-38373-1
isbn_softcover978-3-642-38372-4
isbn_ebook978-3-642-38373-1Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2014
The information of publication is updating

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Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks978-3-642-38373-1Series ISSN 2191-530X Series E-ISSN 2191-5318
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Nonlinear Dynamics in Fluid Dynamic Complex Network,To gain insight into the nonlinear dynamics of gas-water two-phase flow, we construct Fluid Dynamic Complex Network (FDCN) from one conductance fluctuating signal.
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Gas-Water Fluid Structure Complex Network,In general, the traditional nonlinear time series analysis methods (chaotic attractor morphology, complexity measures and chaotic recurrence plot) cannot effectively reveal the complex fluid structure of two-phase flow.
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Oil-Water Fluid Structure Complex Network,Due to the interplay among many complex factors such as liquid-liquid phase interfacial interaction and the existence of a gravitational component normal to the flow direction, an inclined oil-water flow exhibits highly irregular, random, and unsteady flow structure as compared with a vertical two-phase flow.
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