Local Property of Recurrence Network for Investigating Gas-Liquid Two-Phase Flow Characteristics

被引：3
作者：
Zhang Xin-Wang [1 ]
Jin Ning-De [1 ]
Gao Zhong-Ke [1 ]
Zhai Lu-Sheng [1 ]
机构：
[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
来源：
CHINESE PHYSICS LETTERS | 2013年 / 30卷 / 05期
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词：
SLUG FLOW; WAVELET TRANSFORM; TIME-SERIES; COMPLEX; SYNCHRONIZATION; DYNAMICS;
D O I：
10.1088/0256-307X/30/5/050501
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Understanding the dynamics of gas-liquid two-phase flows is a challenge in the fields of nonlinear dynamics. We first construct and analyze a recurrence network from Chen's chaotic system and find that the network local statistic is feasible to characterize chaotic dynamics associated with unstable periodic orbits. Then we construct recurrence networks from gas-liquid two-phase flow experimental signals and associate the network topological statistic with the flow pattern dynamics. The results indicate that the recurrence network could be a powerful tool for the dynamic characterization of experimental gas-liquid two-phase flows.
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页数：4
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