Data for CML turbulence model

Gallo-Méndez, Iván; Moya, P. S.

doi:10.5281/zenodo.4498354

2021

DOI: 10.5281/zenodo.4498354

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Data for CML turbulence model

Iván Gallo-Méndez

P. S. Moya

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“…The data that support the findings of this study are openly available in Zenodo at https://doi.org/10.5281/zenodo.4498354 , reference number 47 .…”

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confidence: 71%

Langevin based turbulence model and its relationship with Kappa distributions

Gallo-Méndez

Moya

2022

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Kappa distributions (or $$\kappa $$ κ -like distributions) represent a robust framework to characterize and understand complex phenomena with high degrees of freedom, as turbulent systems, using non-extensive statistical mechanics. Here we consider a coupled map lattice Langevin based model to analyze the relation of a turbulent flow, with its spatial scale dynamic, and $$\kappa $$ κ -like distributions. We generate the steady-state velocity distribution of the fluid at each scale, and show that the generated distributions are well fitted by $$\kappa $$ κ -like distributions. We observe a robust relation between the $$\kappa $$ κ parameter, the scale, and the Reynolds number of the system, Re. In particular, our results show that there is a closed scaling relation between the level of turbulence and the $$\kappa $$ κ parameter; namely $$\kappa \sim \text {Re}\,k^{-5/3}$$ κ ∼ Re k - 5 / 3 . We expect these results to be useful to characterize turbulence in different contexts, and our numerical predictions to be tested by observations and experimental setups.

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“…The data that support the findings of this study are openly available in Zenodo at https://doi.org/10.5281/zenodo.4498354 , reference number 47 .…”

supporting

confidence: 71%

Langevin based turbulence model and its relationship with Kappa distributions

Gallo-Méndez

Moya

2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

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Data for CML turbulence model

Cited by 1 publication

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Langevin based turbulence model and its relationship with Kappa distributions

Langevin based turbulence model and its relationship with Kappa distributions

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