Large scale analysis of three-dimensional turbulent von Kármán swirling flows

In this paper, we are interested by the large-scale structures and dynamics of turbulent von Kármán (vK) swirling flows. In particular, we investigate the symmetry properties of these structures for a wide range of turbulent flow regimes. Results from scheme-consistency preserving large eddy simulations model, performed at different Reynolds numbers (Re), are carefully analyzed with different handy modal decompositions to understand the dynamical ingredients affecting the flow symmetries. Applying proper orthogonal decomposition (POD) on three-dimensional three-components simulated velocity fields, we numerically corroborate for the first time previous experimental studies which showed that the flow can be characterized by a metastable state at Re>104, associated with an axisymmetric one-cell structure that breaks the Rπ− symmetry (rotation of π with respect to any radial axis passing through the center of the container), inducing long term intermittent fluctuations in the angular momentum. Then, applying POD on a two-dimensional three-component Fourier representation of the velocity fields, we show in detail how the different azimuthal Fourier modes contribute to the statistically stationary mean state and to the large fluctuations, relying on energy decomposition, symmetry, and spatial analysis of the flow.

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Publication Details

Journal
Physics of Fluids
Published
2024-10-01
DOI
https://doi.org/10.1063/5.0227495
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.28

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Large scale analysis of three-dimensional turbulent von Kármán swirling flows

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Model Reduction and Neural Networks
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article

Large scale analysis of three-dimensional turbulent von Kármán swirling flows

Didier Lucor, Romain Bousquet, Caroline Nore, M. Creff, O. Chaffard
article en
1 citations

Abstract

In this paper, we are interested by the large-scale structures and dynamics of turbulent von Kármán (vK) swirling flows. In particular, we investigate the symmetry properties of these structures for a wide range of turbulent flow regimes. Results from scheme-consistency preserving large eddy simulations model, performed at different Reynolds numbers (Re), are carefully analyzed with different handy modal decompositions to understand the dynamical ingredients affecting the flow symmetries. Applying proper orthogonal decomposition (POD) on three-dimensional three-components simulated velocity fields, we numerically corroborate for the first time previous experimental studies which showed that the flow can be characterized by a metastable state at Re>104, associated with an axisymmetric one-cell structure that breaks the Rπ− symmetry (rotation of π with respect to any radial axis passing through the center of the container), inducing long term intermittent fluctuations in the angular momentum. Then, applying POD on a two-dimensional three-component Fourier representation of the velocity fields, we show in detail how the different azimuthal Fourier modes contribute to the statistically stationary mean state and to the large fluctuations, relying on energy decomposition, symmetry, and spatial analysis of the flow.

Physics of FluidsVol. 36(10)
Centre National de la Recherche Scientifique (FR), Laboratoire Interdisciplinaire des Sciences du Numérique (FR)
Grand Équipement National De Calcul Intensif
Affordable and clean energy
Openalex Percentile: Top 44%
Model Reduction and Neural Networks
0.28
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