Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks

Nonfiction, Science & Nature, Science, Chemistry, Technical & Industrial, Technology, Engineering, Mechanical
Cover of the book Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang ISBN: 9783642383731
Publisher: Springer Berlin Heidelberg Publication: December 26, 2013
Imprint: Springer Language: English
Author: Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
ISBN: 9783642383731
Publisher: Springer Berlin Heidelberg
Publication: December 26, 2013
Imprint: Springer
Language: English

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. FSCNs were constructed in the phase space through a general approach that we introduced. The statistical properties of FSCN can provide quantitative insight into the fluid structure of two-phase flow. These interesting and significant findings suggest that complex networks can be a potentially powerful tool for uncovering the nonlinear dynamics of two-phase flows.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. FSCNs were constructed in the phase space through a general approach that we introduced. The statistical properties of FSCN can provide quantitative insight into the fluid structure of two-phase flow. These interesting and significant findings suggest that complex networks can be a potentially powerful tool for uncovering the nonlinear dynamics of two-phase flows.

More books from Springer Berlin Heidelberg

Cover of the book Metallogeny of Tin by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Skeletal Muscle by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Calcified Tissues 1965 by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Growth and Defence in Plants by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book The Issues and Discussion of Modern Concrete Science by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Environmental Photochemistry by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Kosmos xxxtrem! by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Der verborgene Hunger by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Informationsmanagement by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Hormones in Human Amniotic Fluid by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Solarthermie by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Individual and Collective Choice and Social Welfare by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Quantal Density Functional Theory by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Organische Chemie by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Cover of the book Bioreactor Engineering Research and Industrial Applications II by Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy