# The statistical properties of turbulence in the presence of a smart small-scale control

## TL;DR

This study uses high-resolution simulations to explore how a smart small-scale control mechanism affects turbulence, notably reducing intermittency and non-Gaussian fluctuations, advancing understanding of turbulence dynamics.

## Contribution

It introduces a novel smart small-scale drag mechanism that significantly alters turbulence statistics, providing insights into controlling turbulence via targeted dissipation.

## Key findings

- Smart small-scale drag reduces intermittency.
- Decreases non-Gaussian fluctuations in turbulence.
- Offers a new approach to turbulence control.

## Abstract

By means of high-resolution numerical simulations, we compare the statistical properties of homogeneous and isotropic turbulence to those of the Navier-Stokes equation where small-scale vortex filaments are strongly depleted, thanks to a non-linear extra viscosity acting preferentially on high vorticity regions. We show that the presence of such smart small-scale drag can strongly reduce intermittency and non-Gaussian fluctuations. Our results pave the way towards a deeper understanding on the fundamental role of degrees of freedom in turbulence as well as on the impact of (pseudo)coherent structures on the statistical small-scale properties. Our work can be seen as a first attempt to develop smart-Lagrangian forcing/drag mechanisms to control turbulence.