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Nonlinear Analysis of Gas-water/Oil-water Two-phase Flow in Complex Networks
Jin, Ning-De; Gao, Zhong-Ke; Wang, Wen-Xu
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Description for Nonlinear Analysis of Gas-water/Oil-water Two-phase Flow in Complex Networks
Paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 116 pages, 32 black & white illustrations, 41 colour illustrations. BIC Classification: PDDM; PHF; PHFC; TDC. Category: (P) Professional & Vocational. Dimension: 241 x 167 x 11. Weight in Grams: 202.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
60
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
103
Place of Publication
Berlin, Germany
ISBN
9783642383724
SKU
V9783642383724
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Jin, Ning-De; Gao, Zhong-Ke; Wang, Wen-Xu
Prof. Zhong-Ke Gao, Tianjin University, China Prof. Dr. Ning-De JIN, Tianjin University, China Prof. Wen-Xu Wang, Arizona State University, USA,
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