| 书目名称 | Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks |
| 编辑 | Zhong-Ke Gao,Ning-De Jin,Wen-Xu Wang |
| 视频video | |
| 概述 | Complex network theory and its applications to multi-phase flow.Complex flow behavior in multi-phase flow.Details about complex networks from experimental time series signals are provided.Understandin |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | Understanding the dynamics of multi-phase flows has been a challenge in the fields of nonlinear dynamics and fluid mechanics. This chapter reviews our work on two-phase flow dynamics in combination with complex network theory. We systematically carried out gas-water/oil-water two-phase flow experiments for measuring the time series of flow signals which is studied in terms of the mapping from time series to complex networks. Three network mapping methods were proposed for the analysis and identification of flow patterns, i.e. Flow Pattern Complex Network (FPCN), Fluid Dynamic Complex Network (FDCN) and Fluid Structure Complex Network (FSCN). Through detecting the community structure of FPCN based on K-means clustering, distinct flow patterns can be successfully distinguished and identified. A number of FDCN’s under different flow conditions were constructed in order to reveal the dynamical characteristics of two-phase flows. The FDCNs exhibit universal power-law degree distributions. The power-law exponent and the network information entropy are sensitive to the transition among different flow patterns, which can be used to characterize nonlinear dynamics of the two-phase flow. FSC |
| 出版日期 | Book 2014 |
| 关键词 | Complex Networks; Multi-phase Flow; Nonlinear Dynamics; Sensors Integration; Time Series Analysis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-38373-1 |
| isbn_softcover | 978-3-642-38372-4 |
| isbn_ebook | 978-3-642-38373-1Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2014 |
发表于 2025-3-21 20:01:43
