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Scaling laws and vortex profiles in two-dimensional decaying turbulence
J P Laval1, P H Chavanis, B Dubrulle
1CEA/DAPNIA/SAp L'Orme des Merisiers, 709, F-91191 Gif sur Yvette, France.
Summary
High-resolution simulations reveal that small-scale dissipation impacts vortex statistics in 2D decaying turbulence. Viscous effects disrupt scaling laws, but vortex decay trends align with Kirchhoff model predictions.
Area of Science:
- Fluid dynamics
- Turbulence theory
- Computational physics
Background:
- Two-dimensional (2D) decaying turbulence is a fundamental problem in fluid dynamics.
- Understanding vortex statistics is crucial for characterizing turbulent flows.
- Previous theories predicted specific scaling laws for vortex behavior.
Purpose of the Study:
- To investigate the influence of small-scale dissipation on vortex statistics in 2D decaying turbulence.
- To examine the validity of predicted scaling laws under different conditions.
- To analyze the decay of vortex numbers and their spatial distribution.
Main Methods:
- High-resolution numerical simulations of 2D decaying turbulence.
- Analysis of vortex statistics over extended simulation times (hundreds of turnover times).
- Comparison of simulation results with theoretical predictions, including scaling laws and models.
Main Results:
- A scaling regime for vortex statistics was detected when using scaled variables based on mean vorticity and integral scale.
- Viscous effects were observed to disrupt this scaling regime.
- The exponent for the decay of the number of vortices showed a trend towards xi=1, consistent with Kirchhoff model-based theories.
- Scaled vortex profiles exhibited a functional form related to the Fermi-Dirac distribution.
Conclusions:
- Small-scale dissipation significantly influences vortex statistics in 2D decaying turbulence.
- While viscous effects can spoil ideal scaling, the observed trends support existing theoretical frameworks.
- The Fermi-Dirac distribution provides a suitable functional form for describing scaled vortex profiles.