Categories
Nevin Manimala Statistics

Scaling of Acceleration Statistics in High Reynolds Number Turbulence

Phys Rev Lett. 2022 Jun 10;128(23):234502. doi: 10.1103/PhysRevLett.128.234502.

ABSTRACT

The scaling of acceleration statistics in turbulence is examined by combining data from the literature with new data from well-resolved direct numerical simulations of isotropic turbulence, significantly extending the Reynolds number range. The acceleration variance at higher Reynolds numbers departs from previous predictions based on multifractal models, which characterize Lagrangian intermittency as an extension of Eulerian intermittency. The disagreement is even more prominent for higher-order moments of the acceleration. Instead, starting from a known exact relation, we relate the scaling of acceleration variance to that of Eulerian fourth-order velocity gradient and velocity increment statistics. This prediction is in excellent agreement with the variance data. Our Letter highlights the need for models that consider Lagrangian intermittency independent of the Eulerian counterpart.

PMID:35749192 | DOI:10.1103/PhysRevLett.128.234502

By Nevin Manimala

Portfolio Website for Nevin Manimala