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Updated: Jun 21, 2026
09:37
Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
Published on: August 26, 2019
Flow-pattern identification and nonlinear dynamics of gas-liquid two-phase flow in complex networks
1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
Summary
Complex network theory offers a novel approach to identify gas-liquid two-phase flow patterns. This method effectively characterizes nonlinear dynamics and fluid structures in multiphase systems.
Area of Science:
- Multiphase flow systems
- Complex network theory
- Nonlinear dynamics
Background:
- Identifying flow patterns in gas-liquid two-phase systems is challenging due to complex phase interactions.
- Objective discernment of flow patterns requires advanced analytical tools.
Purpose of the Study:
- To systematically study vertical upward gas-liquid two-phase flow using complex network theory.
- To develop novel methods for constructing and analyzing complex networks representing two-phase flow.
- To identify flow patterns and characterize nonlinear dynamics using network properties.
Main Methods:
- Proposed three network construction methods: flow pattern complex network (FPCN), fluid dynamic complex network (FDCN), and fluid structure complex network (FSCN).
- Utilized K-means clustering for community detection in FPCN to identify flow patterns.
- Constructed 50 FDCNs to analyze dynamic characteristics and calculated power-law exponent and network information entropy.
- Developed FSCN to investigate fluid structure using network statistics.
Main Results:
- Successfully identified five vertical upward gas-liquid two-phase flow patterns using FPCN community structure.
- Found that power-law exponent and network information entropy in FDCN are sensitive to flow pattern transitions and characterize nonlinear dynamics.
- Demonstrated that network statistics from FSCN can reveal the fluid structure of gas-liquid two-phase flow.
Conclusions:
- Complex network theory provides a powerful new perspective for studying gas-liquid two-phase flow.
- The proposed network construction and analysis methods are effective for flow pattern identification and dynamic characterization.
- Complex networks show potential as a versatile tool for analyzing nonlinear time series in various practical applications.
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