Mixing as a correlated aggregation process

Mixing describes the process by which solutes evolve from an initial heterogeneous state to uniformity under the stirring action of a fluid flow. Fluid stretching forms thin scalar lamellae that coalesce due to molecular diffusion. Owing to the linearity of the advection–diffusion equation, coalescence can be envisioned as an aggregation process. Here, we demonstrate that in smooth two-dimensional chaotic flows, mixing obeys a correlated aggregation process, where the spatial distribution of the number of lamellae in aggregates is highly correlated with their elongation, and is set by the fractal properties of the advected material lines. We show that the presence of correlations makes mixing less efficient than a completely random aggregation process because lamellae with similar elongations and scalar levels tend to remain isolated from each other. We show that correlated aggregation is uniquely determined by a single exponent that quantifies the effective number of random aggregation events. These findings expand aggregation theories to a larger class of systems, which have relevance to various fundamental and applied mixing problems.

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Publication Details

Journal
Journal of Fluid Mechanics
Published
2024-08-10
DOI
https://doi.org/10.1017/jfm.2024.537
Citations
4
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
0.84

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article

Mixing as a correlated aggregation process

Philippe Davy, Tanguy Le Borgne, Joris Heyman, Emmanuel Villermaux
4 citations
Journal of Fluid Mechanics
Quantum chaos and dynamical systems
0.84
article

Mixing as a correlated aggregation process

Philippe Davy, Tanguy Le Borgne, Joris Heyman, Emmanuel Villermaux
article en
4 citations

Abstract

Mixing describes the process by which solutes evolve from an initial heterogeneous state to uniformity under the stirring action of a fluid flow. Fluid stretching forms thin scalar lamellae that coalesce due to molecular diffusion. Owing to the linearity of the advection–diffusion equation, coalescence can be envisioned as an aggregation process. Here, we demonstrate that in smooth two-dimensional chaotic flows, mixing obeys a correlated aggregation process, where the spatial distribution of the number of lamellae in aggregates is highly correlated with their elongation, and is set by the fractal properties of the advected material lines. We show that the presence of correlations makes mixing less efficient than a completely random aggregation process because lamellae with similar elongations and scalar levels tend to remain isolated from each other. We show that correlated aggregation is uniquely determined by a single exponent that quantifies the effective number of random aggregation events. These findings expand aggregation theories to a larger class of systems, which have relevance to various fundamental and applied mixing problems.

Journal of Fluid MechanicsVol. 992
Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Géosciences Rennes (FR), Institut de Recherche sur les Phénomènes Hors Équilibre (FR), Centrale Méditerranée (FR)
European Commission, Horizon 2020 Framework Programme, HORIZON EUROPE Marie Sklodowska-Curie Actions, HORIZON EUROPE European Research Council
Openalex Percentile: Top 28%
Quantum chaos and dynamical systems
0.84
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Mixing as a correlated aggregation process — Philippe Davy, Tanguy Le Borgne, et al. · Journal of Fluid Mechanics (2024) | TGRS Research Map | TGRS