大连理工大学学报Issue(5)：470-477,8.DOI:10.7511/dllgxb201505004
基于复杂网络的气液两相流流型识别与动力学特性分析
Flow pattern identification and dynamics characteristics analyses for gas-liquid two-phase flow in complex network
摘要
Abstract
As a nonlinear dynamic system,the flow evolution dynamics characteristics of gas-liquid two-phase flow are not clear.Air-water two-phase flow in vertical upward pipe is selected as the obj ect.Based on differential pressure time series measured from flow simulation experiment system, flow regime complex network(FRCN)and flow evolution complex network(FECN)are constructed to study gas-liquid two-phase flow pattern and its nonlinear dynamics characteristics.Through detecting the community structures of FRCN,the corresponding relations between community structures and flow patterns are obtained,consequently five flow patterns including transitional flow patterns are distinguished and identified.Through analyzing the FECN,it is found that the FECN of different flow patterns presents different community structures,and the evolutionary trend of FECN's network information entropy has close relation to the flow pattern transition,which can be employed to reveal the dynamics characteristics of gas-liquid two-phase flow evolution in vertical upward pipe.关键词
气液两相流/流体动力学/时间序列/复杂网络/熵Key words
gas-liquid two-phase flow/fluid dynamics/time series/complex network/entropy分类
数理科学引用本文复制引用
孙庆明,张博,张海..基于复杂网络的气液两相流流型识别与动力学特性分析[J].大连理工大学学报,2015,(5):470-477,8.基金项目
国家自然科学基金资助项目(51276025) （51276025）
