SpringerBriefs on Multiphase Flow

Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks

Authors: Gao, Zhong-Ke, Jin, Ning-De, Wang, Wen-Xu

  • 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
  • Understanding the complex dynamics underlying multi-phase flow
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About this book

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. FSCNs were constructed in the phase space through a general approach that we introduced. The statistical properties of FSCN can provide quantitative insight into the fluid structure of two-phase flow. These interesting and significant findings suggest that complex networks can be a potentially powerful tool for uncovering the nonlinear dynamics of two-phase flows.

About the authors

Prof. Zhong-Ke Gao, Tianjin University, China

Prof. Dr. Ning-De JIN, Tianjin University, China

Prof. Wen-Xu Wang, Arizona State University, USA,

Table of contents (11 chapters)

  • Introduction

    Gao, Zhong-Ke (et al.)

    Pages 1-6

  • Definition of Flow Patterns

    Gao, Zhong-Ke (et al.)

    Pages 7-11

  • The Experimental Flow Loop Facility and Data Acquisition

    Gao, Zhong-Ke (et al.)

    Pages 13-23

  • Community Detection in Flow Pattern Complex Network

    Gao, Zhong-Ke (et al.)

    Pages 25-34

  • Nonlinear Dynamics in Fluid Dynamic Complex Network

    Gao, Zhong-Ke (et al.)

    Pages 35-46

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-3-642-38373-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-3-642-38372-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks
Authors
Series Title
SpringerBriefs on Multiphase Flow
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s)
eBook ISBN
978-3-642-38373-1
DOI
10.1007/978-3-642-38373-1
Softcover ISBN
978-3-642-38372-4
Edition Number
1
Number of Pages
XIII, 103
Number of Illustrations and Tables
32 b/w illustrations, 41 illustrations in colour
Topics