Extreme-value statistics of curl-of-vorticity precursor peaks in perturbed Taylor-Green vortex turbulence
Satori Tsuzuki

TL;DR
This study statistically analyzes the timing and extreme behavior of precursor peaks in turbulence, revealing their typical lead over dissipation peaks and their correlation with high-curvature activity.
Contribution
It introduces a statistical framework using extreme-value theory to characterize precursor peak timing and their relation to dissipation in turbulent flows.
Findings
Precursor peaks generally lead dissipation peaks in turbulence.
Extreme-value analysis provides bounds on worst-case lag times.
Strong correlation between maximum curl-of-vorticity peaks and dissipation bursts.
Abstract
Precursor peaks in the wavenumber maximizing the curl-of-vorticity spectrum have been observed to precede the dissipation peak in decaying turbulence. Because small perturbations in the initial condition can shift peak times, the associated lead time should be characterized statistically. We perform a pseudospectral DNS ensemble of perturbed Taylor--Green vortex realizations at and . For each run we extract , several definitions of the precursor time , the dissipation-peak time , and run-wise extrema including and , where is the isotropic curl-of-vorticity spectrum. The distribution of shows that the precursor typically leads, while rare lagging…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations · Solar and Space Plasma Dynamics
