Scaling of conditional Lagrangian time correlation functions of velocity and pressure gradient magnitudes in isotropic turbulence
Huidan Yu, Charles Meneveau

TL;DR
This study investigates the Lagrangian time correlations of velocity and pressure gradient magnitudes in isotropic turbulence, revealing their dependence on local eddy-turnover time scales and the influence of intermittency corrections.
Contribution
It introduces an analysis of absolute value correlations in turbulence, showing their scaling with eddy-turnover time and the need for intermittency corrections for better data collapse.
Findings
Correlation functions scale with eddy-turnover time, not Kolmogorov time.
Intermittency correction factors improve correlation collapse.
Absolute value correlations are less well collapsed than tensor element correlations.
Abstract
We study Lagrangian statistics of the magnitudes of velocity and pressure gradients in isotropic turbulence by quantifying their correlation functions and their characteristic time scales. It has been found that the Lagrangian time-correlations of the velocity and pressure gradient tensor and vector elements scale with the locally-defined Kolmogorov time scale, defined from the box-averaged dissipation-rate and viscosity. In this work, we study the Lagrangian time-correlations of the absolute values of velocity and pressure gradients. We explore the appropriate temporal scales with the aim to achieve collapse of the correlation functions. The data used in this study are sampled from the web-services accessible public turbulence database(http://turbulence.pha.jhu.edu). The database archives a pseudo-spectral direct numerical simulation of forced isotropic turbulence with Taylor-scale…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Particle Dynamics in Fluid Flows · Combustion and flame dynamics
