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

作     者：ZHANG Xin-Wang JIN Ning-De GAO Zhong-Ke ZHAI Lu-Sheng 张新旺;金宁德;高忠科;翟路生

作者机构：School of Electrical Engineering and AutomationTianjin UniversityTianjin 300072 

出 版 物：《Chinese Physics Letters》 (中国物理快报（英文版）)

年 卷 期：2013年第30卷第5期

页      面：18-21页

核心收录：

学科分类：080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程（可授工学、理学学位）] 0704[理学-天文学] 0801[工学-力学（可授工学、理学学位）] 

基　　金：the National Natural Science Foundation of China under Grant Nos 41174109,61104148 and 50974095 the National Science and Technology Major Projects under Grant No 2011ZX05020-006 the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No 20110032120088 

主　　题：dynamics chaotic statistic 

摘      要：Understanding the dynamics of gas-liquid two-phase flows is a challenge in the fields of nonlinear *** 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 *** we construct recurrence networks from gas-liquid two-phase flow experimental signals and associate the network topological statistic with the flow pattern *** results indicate that the recurrence network could be a powerful tool for the dynamic characterization of experimental gas-liquid two-phase flows.