Recurrence network analysis of experimental signals from bubbly oil-in-water flows
Recurrence network analysis of experimental signals from bubbly oil-in-water flows
复制标题
水包油气泡流实验信号的递归网络分析
DOI：
10.1016/j.physleta.2012.12.017
复制
发表时间：
2013-02-04
影响因子：
2.6
通讯作者：
Jin, Ning-De
中科院分区：
文献类型：
--
作者：
Gao, Zhong-Ke;Zhang, Xin-Wang;Jin, Ning-De
Based on the signals from oil-water two-phase flow experiment, we construct and analyze recurrence networks to characterize the dynamic behavior of different flow patterns. We first take a chaotic time series as an example to demonstrate that the local property of recurrence network allows characterizing chaotic dynamics. Then we construct recurrence networks for different oil-in-water flow patterns and investigate the local property of each constructed network, respectively. The results indicate that the local topological statistic of recurrence network is very sensitive to the transitions of flow patterns and allows uncovering the dynamic flow behavior associated with chaotic unstable periodic orbits. (C) 2012 Elsevier B.V. All rights reserved.
