物理学报2012，Vol.61Issue(9)：331-338,8.
两相流相空间多元图重心轨迹动力学特征
Dynamic characteristics of multivariate graph centrobaric trajectory in phase space of two-phase flow
摘要
Abstract
We propose a multivariate graph centrobaric trajectory-based method for characterizing nonlinear dynamics from high- dimensional chaotic time series. After the optimal selecting of the embedding dimension and time delay, we map the high-dimensional vector point into the two-dimensional radial plane graph, i.e., the high-dimensional vector point is transformed correspondingly to a geometric polygon. By extracting the geometric location of the polygon barycenters, we can obtain the evolving feature of the barycen- ter dynamical trajectory. Then we use the moment quantity of the barycenter trajectory to distinguish different chaotic time series. Finally, we apply our method to the fluctuating signals measured from gas-liquid two-phase flow experiments. The results suggest that our method can be a powerful tool for not only distinguishing the different flow patterns but also investigating the dynamical evolving mechanism of flow patterns.关键词
两相流/高维相空间/重心轨迹/流型动力学Key words
two-phase flow/high-dimentional phase space/centrobaric trajectory/flow pattern dynamics分类
数理科学引用本文复制引用
赵俊英,金宁德..两相流相空间多元图重心轨迹动力学特征[J].物理学报,2012,61(9):331-338,8.基金项目
国家自然科学基金（批准号：50974095,41174109）和国家科技重大专项（批准号：2011ZX05020-006）资助的课题. （）
