The Resource Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks, by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang, (electronic resource)

Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks, by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang, (electronic resource)

Label
Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks
Title
Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks
Statement of responsibility
by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
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
Member of
Is Subseries of
http://library.link/vocab/creatorName
Gao, Zhong-Ke
Dewey number
  • 532.051
  • 620.1064
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • lBN4u_TkEp0
  • 9dhX5L8qlTI
  • n3gR27dkb2c
Language note
English
LC call number
TA357-359
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Jin, Ning-De.
  • Wang, Wen-Xu.
Series statement
SpringerBriefs on Multiphase Flow,
http://library.link/vocab/subjectName
  • Hydraulic engineering
  • Chemical engineering
  • Engineering Fluid Dynamics
  • Industrial Chemistry/Chemical Engineering
  • Phase Transitions and Multiphase Systems
  • Measurement Science and Instrumentation
  • Soft and Granular Matter, Complex Fluids and Microfluidics
Label
Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks, by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Introduction -- Definition of flow patterns -- The experimental flow loop facility and data acquisition -- Community detection in flow pattern complex network -- Nonlinear dynamics in fluid dynamic complex network -- Gas-water fluid structure complex network -- Oil-water fluid structure complex network -- Directed weighted complex network for characterizing gas-liquid slug flow -- Markov transition probability-based network for characterizing horizontal gas-liquid two-phase flow -- Recurrence network for characterizing bubbly oil-in-water flows -- Conclusions.
Dimensions
unknown
Edition
1st ed. 2014.
Extent
1 online resource (109 p.)
Form of item
online
Isbn
9783642383731
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-642-38373-1
Specific material designation
remote
System control number
  • (CKB)3710000000078833
  • (EBL)1636590
  • (OCoLC)871223990
  • (SSID)ssj0001089977
  • (PQKBManifestationID)11648188
  • (PQKBTitleCode)TC0001089977
  • (PQKBWorkID)11126778
  • (PQKB)10125644
  • (MiAaPQ)EBC1636590
  • (DE-He213)978-3-642-38373-1
  • (EXLCZ)993710000000078833
Label
Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks, by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Introduction -- Definition of flow patterns -- The experimental flow loop facility and data acquisition -- Community detection in flow pattern complex network -- Nonlinear dynamics in fluid dynamic complex network -- Gas-water fluid structure complex network -- Oil-water fluid structure complex network -- Directed weighted complex network for characterizing gas-liquid slug flow -- Markov transition probability-based network for characterizing horizontal gas-liquid two-phase flow -- Recurrence network for characterizing bubbly oil-in-water flows -- Conclusions.
Dimensions
unknown
Edition
1st ed. 2014.
Extent
1 online resource (109 p.)
Form of item
online
Isbn
9783642383731
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-642-38373-1
Specific material designation
remote
System control number
  • (CKB)3710000000078833
  • (EBL)1636590
  • (OCoLC)871223990
  • (SSID)ssj0001089977
  • (PQKBManifestationID)11648188
  • (PQKBTitleCode)TC0001089977
  • (PQKBWorkID)11126778
  • (PQKB)10125644
  • (MiAaPQ)EBC1636590
  • (DE-He213)978-3-642-38373-1
  • (EXLCZ)993710000000078833

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