Data di Pubblicazione:
2023
Abstract:
Active turbulence is a paradigmatic and fascinating example of self-organized motion at large scales
occurring in active matter. We employ massive hydrodynamic simulations of suspensions of resolved
model microswimmers to tackle the phenomenon in semi-diluted conditions at a mesoscopic level.
We measure the kinetic energy spectrum and find that it decays as k-3 over a range of interme-
diate wavenumbers. The velocity distributions are of L´evy type, a distinct difference with inertial
turbulence. Furthermore, we propose a reduced order dynamical deterministic model for active
turbulence, inspired to shell models for classical turbulence, whose numerical and analytical study
confirms the spectrum power-law observed in the simulations and reveals hints of a non-Gaussian,
intermittent, physics of active turbulence. Direct numerical simulations and modelling also agree in
pointing to a phenomenological picture whereby, in the absence of an energy cascade `a la Richardson
forbidden by the low Reynolds number regime, it is the coupling between fluid velocity gradients
and bacterial orientation that gives rise to a multiscale dynamics.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Statistical Physics; Biophysics; Active Matter; Dynamical Systems; Mathematical Modelling
Elenco autori:
Scagliarini, Andrea
Link alla scheda completa:
Pubblicato in: