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Statistical properties of two-dimensional elastic turbulence

Garg, Himani LU orcid ; Calzavarini, Enrico and Berti, Stefano (2021) In Physical Review E 104.
Abstract
We numerically investigate the spatial and temporal statistical properties of a dilute polymer solution in the elastic turbulence regime, i.e., in the chaotic flow state occurring at vanishing Reynolds and high Weissenberg numbers. We aim at elucidating the relations between measurements of flow properties performed in the spatial domain with the ones taken in the temporal domain, which is a key point for the interpretation of experimental results on elastic turbulence and to discuss the validity of Taylor's hypothesis. To this end, we carry out extensive direct numerical simulations of the two-dimensional Kolmogorov flow of an Oldroyd-B viscoelastic fluid. Static pointlike numerical probes are placed at different locations in the flow,... (More)
We numerically investigate the spatial and temporal statistical properties of a dilute polymer solution in the elastic turbulence regime, i.e., in the chaotic flow state occurring at vanishing Reynolds and high Weissenberg numbers. We aim at elucidating the relations between measurements of flow properties performed in the spatial domain with the ones taken in the temporal domain, which is a key point for the interpretation of experimental results on elastic turbulence and to discuss the validity of Taylor's hypothesis. To this end, we carry out extensive direct numerical simulations of the two-dimensional Kolmogorov flow of an Oldroyd-B viscoelastic fluid. Static pointlike numerical probes are placed at different locations in the flow, particularly at the extrema of mean flow amplitude. The results in the fully developed elastic turbulence regime reveal large velocity fluctuations, as compared to the mean flow, leading to a partial breakdown of Taylor's frozen-field hypothesis. While second-order statistics, probed by spectra and structure functions, display consistent scaling behaviors in the spatial and temporal domains, the third-order statistics highlight robust differences. In particular the temporal analysis fails to capture the skewness of streamwise longitudinal velocity increments. Finally, we assess both the degree of statistical inhomogeneity and isotropy of the flow turbulent fluctuations as a function of scale. While the system is only weakly nonhomogenous in the cross-stream direction, it is found to be highly anisotropic at all scales. (Less)
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author
; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Elastic Turbulence, Statistical Analysis, Numerical simulations, microfluidic channel
in
Physical Review E
volume
104
article number
035103
pages
13 pages
publisher
American Physical Society
external identifiers
  • scopus:85114682212
ISSN
2470-0045
DOI
10.1103/PhysRevE.104.035103
language
English
LU publication?
no
id
f6dd7d9a-7364-4eb2-a97a-3811c9f4e6f5
date added to LUP
2024-06-09 08:21:29
date last changed
2024-06-11 09:51:45
@article{f6dd7d9a-7364-4eb2-a97a-3811c9f4e6f5,
  abstract     = {{We numerically investigate the spatial and temporal statistical properties of a dilute polymer solution in the elastic turbulence regime, i.e., in the chaotic flow state occurring at vanishing Reynolds and high Weissenberg numbers. We aim at elucidating the relations between measurements of flow properties performed in the spatial domain with the ones taken in the temporal domain, which is a key point for the interpretation of experimental results on elastic turbulence and to discuss the validity of Taylor's hypothesis. To this end, we carry out extensive direct numerical simulations of the two-dimensional Kolmogorov flow of an Oldroyd-B viscoelastic fluid. Static pointlike numerical probes are placed at different locations in the flow, particularly at the extrema of mean flow amplitude. The results in the fully developed elastic turbulence regime reveal large velocity fluctuations, as compared to the mean flow, leading to a partial breakdown of Taylor's frozen-field hypothesis. While second-order statistics, probed by spectra and structure functions, display consistent scaling behaviors in the spatial and temporal domains, the third-order statistics highlight robust differences. In particular the temporal analysis fails to capture the skewness of streamwise longitudinal velocity increments. Finally, we assess both the degree of statistical inhomogeneity and isotropy of the flow turbulent fluctuations as a function of scale. While the system is only weakly nonhomogenous in the cross-stream direction, it is found to be highly anisotropic at all scales.}},
  author       = {{Garg, Himani and Calzavarini, Enrico and Berti, Stefano}},
  issn         = {{2470-0045}},
  keywords     = {{Elastic Turbulence; Statistical Analysis; Numerical simulations; microfluidic channel}},
  language     = {{eng}},
  month        = {{09}},
  publisher    = {{American Physical Society}},
  series       = {{Physical Review E}},
  title        = {{Statistical properties of two-dimensional elastic turbulence}},
  url          = {{http://dx.doi.org/10.1103/PhysRevE.104.035103}},
  doi          = {{10.1103/PhysRevE.104.035103}},
  volume       = {{104}},
  year         = {{2021}},
}