Characterizing slug to churn flow transition by using multivariate pseudo Wigner distribution and multivariate multiscale entropy

Gao, Zhong-Ke; Yang, Yuxuan; Zhai, Lusheng; Ding, Mei-Shuang; Jin, Ningde

doi:10.1016/j.cej.2016.01.039

Cited by 65 publications

(26 citation statements)

References 43 publications

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“…For a Levy flight process, the variance diverges and the DFA fails to qualitatively detect the scaling behavior. Hence, a combination of DEA and DFA (i.e., the relationship between H and δ ) can provide information on the dynamic mechanism [ 22 , 27 – 31 ].…”

Section: Methodsmentioning

confidence: 99%

Long-Range Correlations in Sentence Series from A Story of the Stone

Yang

2016

PLoS ONE

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A sentence is the natural unit of language. Patterns embedded in series of sentences can be used to model the formation and evolution of languages, and to solve practical problems such as evaluating linguistic ability. In this paper, we apply de-trended fluctuation analysis to detect long-range correlations embedded in sentence series from A Story of the Stone, one of the greatest masterpieces of Chinese literature. We identified a weak long-range correlation, with a Hurst exponent of 0.575±0.002 up to a scale of 104. We used the structural stability to confirm the behavior of the long-range correlation, and found that different parts of the series had almost identical Hurst exponents. We found that noisy records can lead to false results and conclusions, even if the noise covers a limited proportion of the total records (e.g., less than 1%). Thus, the structural stability test is an essential procedure for confirming the existence of long-range correlations, which has been widely neglected in previous studies. Furthermore, a combination of de-trended fluctuation analysis and diffusion entropy analysis demonstrated that the sentence series was generated by a fractional Brownian motion.

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Section: Methodsmentioning

confidence: 99%

Long-Range Correlations in Sentence Series from A Story of the Stone

Yang

2016

PLoS ONE

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“…Experimental studies [5][6][7] have been conducted in attempt to explore the transient interactions between phases in two-phase flows. A more detailed study investigated the evolution of slug and churn gas pockets using a multivariate pseudo Wigner distribution together with multivariate multiscale entropy to analysis the measured data [5]. The study could be useful for validation purposes but it is limited by the flow geometry (0.02m diameter) and conditions (low velocities) it could cover in the experiment.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Two-Phase Flow Induced Local Fluctuations and Interactions of Flow Properties Through Elbow

Chinenye-Kanu

Hossain

Droubi

et al. 2018

Lecture Notes in Mechanical Engineering

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“…Gao et al [38] also addressed the multi-frequency complex network to explore the uncovering oil-water flow structure. Slug to churn flow transition by employing the multivariate pseudo Wigner distribution and multivariate multiscale entropy is reported by Gao et al [39]. Gao et al [40] provided a four-sector conductance method to explore the low-velocity oil-water two-phase flows.…”

Section: Introductionmentioning

confidence: 99%

Model and Comparative Study for Flow of Viscoelastic Nanofluids with Cattaneo-Christov Double Diffusion

et al. 2017

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Here two classes of viscoelastic fluids have been analyzed in the presence of Cattaneo-Christov double diffusion expressions of heat and mass transfer. A linearly stretched sheet has been used to create the flow. Thermal and concentration diffusions are characterized firstly by introducing Cattaneo-Christov fluxes. Novel features regarding Brownian motion and thermophoresis are retained. The conversion of nonlinear partial differential system to nonlinear ordinary differential system has been taken into place by using suitable transformations. The resulting nonlinear systems have been solved via convergent approach. Graphs have been sketched in order to investigate how the velocity, temperature and concentration profiles are affected by distinct physical flow parameters. Numerical values of skin friction coefficient and heat and mass transfer rates at the wall are also computed and discussed. Our observations demonstrate that the temperature and concentration fields are decreasing functions of thermal and concentration relaxation parameters.

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Characterizing slug to churn flow transition by using multivariate pseudo Wigner distribution and multivariate multiscale entropy

Cited by 65 publications

References 43 publications

Long-Range Correlations in Sentence Series from A Story of the Stone

Long-Range Correlations in Sentence Series from A Story of the Stone

Numerical Investigation of Two-Phase Flow Induced Local Fluctuations and Interactions of Flow Properties Through Elbow

Model and Comparative Study for Flow of Viscoelastic Nanofluids with Cattaneo-Christov Double Diffusion

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