Cross-correlation analysis of interfacial wave and droplet entrainment in horizontal liquid-liquid two-phase flows
Cross-correlation analysis of interfacial wave and droplet entrainment in horizontal liquid-liquid two-phase flows
复制标题
水平液液两相流界面波与液滴夹带的互相关分析
DOI：
10.1016/j.cej.2017.03.044
复制
发表时间：
2017-07
影响因子：
15.1
通讯作者：
Jin Ning-De
中科院分区：
文献类型：
--
作者：
Yan Cong;Zhai Lu-Sheng;Zhang Hong-Xin;Wang Hong-Mei;Jin Ning-De
水平油水两相流具有复杂的时空结构。流动结构的互相关分析对于揭示油水两相流动的非线性动力学特性具有重要意义。在这项研究中，我们首先采用去趋势互相关分析（DCCA）的方法来调查的互相关特性的两个系列所产生的两个组件ARFIMA过程具有可调的耦合强度。在此基础上，为了避免噪声引起的虚假高互相关，分别对周期信号、随机信号和混沌信号混合的ARFIMA过程进行了去趋势偏互相关分析（DPCCA）的抗噪研究。结果表明，DPCCA能有效地揭示耦合序列的内在互相关特性。通过水平油水两相流实验，利用电导互相关速度探头采集了水平油水两相流的上下游流动信息。利用DPCCA算法计算了上下游流场结构的多尺度互相关系数。结果表明，DPCCA互相关系数对油水界面波和夹带液滴的动力学特性非常敏感，可以作为水平油水两相流结构的有效指标。
Horizontal oil-water two-phase flows present complex temporal and spatial structures. The cross-correlation analysis of the flow structures is of significance for uncovering the nonlinear dynamics of the oil-water flows. In this study, we first employ a detrended cross-correlation analysis (DCCA) method to investigate the cross-correlation characteristics of two series generated by two-component ARFIMA processes with an adjustable coupling strength. On this basis, to avoid spuriously high cross-correlations caused by noises, we conduct an anti-noise study applying a detrended partial cross-correlation analysis (DPCCA) to ARFIMA processes mixed with periodic signal, stochastic signal and chaotic signal, respectively. It’s found that the DPCCA can effectively reveal the intrinsic cross-correlations of coupled series. Through carrying out an experiment of horizontal oil-water two-phase flows, the upstream and downstream flow information is collected by a conductance cross-correlation velocity probe. The DPCCA algorithm is used to calculate the multi-scale cross-correlation coefficient of the upstream and downstream flow structures. The results indicate that the DPCCA cross-correlation coefficient is very sensitive to the dynamics of the oil-water interfacial wave and the entrained droplets, and can serve as an effective indicator of horizontal oil-water two-phase flow structures.
登录
查看更多内容
DOI：
10.1103/physreve.94.022135
发表时间：
2016-08
期刊：
Physical review. E
影响因子：
--
作者：
R. Spinney;J. Lizier;M. Prokopenko
通讯作者：
R. Spinney;J. Lizier;M. Prokopenko
DOI：
10.1016/j.physa.2008.01.062
发表时间：
2008-06-15
影响因子：
3.3
作者：
Podobnik, Boris;Horvatic, Davor;Ivanov, Plamen Ch.
通讯作者：
Ivanov, Plamen Ch.
DOI：
10.1103/physreva.41.2246
发表时间：
1990-02
期刊：
Physical review. A, Atomic, molecular, and optical physics
影响因子：
--
作者：
Meneveau;Sreenivasan
通讯作者：
Meneveau;Sreenivasan
常见外力影响下两个非平稳时间序列的去趋势偏互相关分析
影响因子：
2.4
作者：
Qian, Xi-Yuan;Liu, Ya-Min;Stanley, H. Eugene
通讯作者：
Stanley, H. Eugene
DOI：
10.1016/j.physa.2013.01.011
发表时间：
2013-04
影响因子：
3.3
作者：
G. F. Zebende;M. F. D. Silva;A. Filho
通讯作者：
G. F. Zebende;M. F. D. Silva;A. Filho