PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow

Abstract Numerous irregular flow structures exist in the complicated multiphase flow and result in lots of disparate spatial dynamical flow behaviors. The vertical oil-water slug flow continually attracts plenty of research interests on account of its significant importance. Based on the spatial tra...

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Autores principales:	Zhong-Ke Gao, Wei-Dong Dang, Shan Li, Yu-Xuan Yang, Hong-Tao Wang, Jing-Ran Sheng, Xiao-Fan Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/604ef8e3b287459dadd5c04a0d678737
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spelling	oai:doaj.org-article:604ef8e3b287459dadd5c04a0d6787372021-12-02T12:32:54ZPageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow10.1038/s41598-017-05890-02045-2322https://doaj.org/article/604ef8e3b287459dadd5c04a0d6787372017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05890-0https://doaj.org/toc/2045-2322Abstract Numerous irregular flow structures exist in the complicated multiphase flow and result in lots of disparate spatial dynamical flow behaviors. The vertical oil-water slug flow continually attracts plenty of research interests on account of its significant importance. Based on the spatial transient flow information acquired through our designed double-layer distributed-sector conductance sensor, we construct multilayer modality-based network to encode the intricate spatial flow behavior. Particularly, we calculate the PageRank versatility and multilayer weighted clustering coefficient to quantitatively explore the inferred multilayer modality-based networks. Our analysis allows characterizing the complicated evolution of oil-water slug flow, from the opening formation of oil slugs, to the succedent inter-collision and coalescence among oil slugs, and then to the dispersed oil bubbles. These properties render our developed method particularly powerful for mining the essential flow features from the multilayer sensor measurements.Zhong-Ke GaoWei-Dong DangShan LiYu-Xuan YangHong-Tao WangJing-Ran ShengXiao-Fan WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhong-Ke Gao Wei-Dong Dang Shan Li Yu-Xuan Yang Hong-Tao Wang Jing-Ran Sheng Xiao-Fan Wang PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
description	Abstract Numerous irregular flow structures exist in the complicated multiphase flow and result in lots of disparate spatial dynamical flow behaviors. The vertical oil-water slug flow continually attracts plenty of research interests on account of its significant importance. Based on the spatial transient flow information acquired through our designed double-layer distributed-sector conductance sensor, we construct multilayer modality-based network to encode the intricate spatial flow behavior. Particularly, we calculate the PageRank versatility and multilayer weighted clustering coefficient to quantitatively explore the inferred multilayer modality-based networks. Our analysis allows characterizing the complicated evolution of oil-water slug flow, from the opening formation of oil slugs, to the succedent inter-collision and coalescence among oil slugs, and then to the dispersed oil bubbles. These properties render our developed method particularly powerful for mining the essential flow features from the multilayer sensor measurements.
format	article
author	Zhong-Ke Gao Wei-Dong Dang Shan Li Yu-Xuan Yang Hong-Tao Wang Jing-Ran Sheng Xiao-Fan Wang
author_facet	Zhong-Ke Gao Wei-Dong Dang Shan Li Yu-Xuan Yang Hong-Tao Wang Jing-Ran Sheng Xiao-Fan Wang
author_sort	Zhong-Ke Gao
title	PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
title_short	PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
title_full	PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
title_fullStr	PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
title_full_unstemmed	PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
title_sort	pagerank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/604ef8e3b287459dadd5c04a0d678737
work_keys_str_mv	AT zhongkegao pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow AT weidongdang pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow AT shanli pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow AT yuxuanyang pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow AT hongtaowang pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow AT jingransheng pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow AT xiaofanwang pagerankversatilityanalysisofmultilayermodalitybasednetworkforexploringtheevolutionofoilwaterslugflow
_version_	1718393921906671616

PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow

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