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Averaged model for probabilistic coalescence avalanches in two-dimensional emulsions: Insights into uncertainty propagation
Published in American Physical Society
2017
PMID: 28415172
Volume: 95
   
Issue: 3
Abstract
A two-dimensional concentrated emulsion exhibits spontaneous rapid destabilization through an avalanche of coalescence events which propagate through the assembly stochastically. We propose a deterministic model to explain the average dynamics of the avalanching process. The dynamics of the avalanche phenomenon is studied as a function of a composite parameter, the decay time ratio, which characterizes the ratio of the propensity of coalescence to cease propagation to that of propagation. When this ratio is small, the avalanche grows autocatalytically to destabilize the emulsion. Using a scaling analysis, we unravel the relation between a local characteristic of the system and a global system wide effect. The anisotropic nature of local coalescence results in a system size dependent transition from nonautocatalytic to autocatalytic behavior. By incorporating uncertainty into the parameters in the model, several possible realizations of the coalescence avalanche are generated. The results are compared with the Monte Carlo simulations to derive insights into how the uncertainty propagates in the system. © 2017 American Physical Society.
About the journal
JournalData powered by TypesetPhysical Review E
PublisherData powered by TypesetAmerican Physical Society
ISSN24700045
Open AccessNo
Concepts (17)
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    Emulsification
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    Intelligent systems
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    AUTOCATALYTIC
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    AVERAGED MODELS
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    CONCENTRATED EMULSION
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    Deterministic modeling
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    GLOBAL SYSTEMS
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    LOCAL CHARACTERISTICS
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    Scaling analysis
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    Uncertainty propagation
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    Monte carlo methods
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    Article
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    AVALANCHE
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    Catalysis
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    Emulsion
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    Monte carlo method
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    Uncertainty