Dresden 2017 – wissenschaftliches Programm
CPP 54.4: Vortrag
Donnerstag, 23. März 2017, 10:30–10:45, HÜL 186
Statistical features of active turbulence — •Martin James and Michael Wilczek — Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
Dense bacterial suspensions display rich dynamical features including turbulence-like behavior. Recent studies have shown that such turbulent dynamics of active fluids can be modeled by a generalized Navier-Stokes equation (Wensink et al., PNAS 2012). The statistical features of active turbulence, however, differ significantly from classical hydrodynamic turbulence (see, e.g., Bratanov et al., PNAS 2015). We further explore the statistical features of this active turbulence model both, numerically and analytically. In particular, we focus on scale-dependent statistics to characterize deviations from Gaussianity and the occurrence of extreme events. Moreover, we investigate the transport properties of active flow by using Lagrangian tracer techniques. Our results provide insight into mixing of microbial suspensions due to turbulent dynamics.