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Interconnected ordinal pattern complex network for characterizing the spatial coupling behavior of gas-liquid two-phase flow

Authors

Du,  Meng
External Organizations;

Wei,  Jie
External Organizations;

Li ,  Meng-Yu
External Organizations;

Gao,  Zhong-ke
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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29107oa.pdf
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Citation

Du, M., Wei, J., Li, M.-Y., Gao, Z.-k., Kurths, J. (2023): Interconnected ordinal pattern complex network for characterizing the spatial coupling behavior of gas-liquid two-phase flow. - Chaos, 33, 6, 063108.
https://doi.org/10.1063/5.0146259


Cite as: https://publications.pik-potsdam.de/pubman/item/item_29107
Abstract
The complex phase interactions of the two-phase flow are a key factor in understanding the flow pattern evolutional mechanisms, yet these complex flow behaviors have not been well understood. In this paper, we employ a series of gas–liquid two-phase flow multivariate fluctuation signals as observations and propose a novel interconnected ordinal pattern network to investigate the spatial coupling behaviors of the gas–liquid two-phase flow patterns. In addition, we use two network indices, which are the global subnetwork mutual information (⁠ ⁠) and the global subnetwork clustering coefficient (⁠ ⁠), to quantitatively measure the spatial coupling strength of different gas–liquid flow patterns. The gas–liquid two-phase flow pattern evolutionary behaviors are further characterized by calculating the two proposed coupling indices under different flow conditions. The proposed interconnected ordinal pattern network provides a novel tool for a deeper understanding of the evolutional mechanisms of the multi-phase flow system, and it can also be used to investigate the coupling behaviors of other complex systems with multiple observations.