Viscoelastic and elastomeric active matter: Linear instability and nonlinear dynamics

• Published in: arXiv.org
• Main Authors: Hemingway, E J, Cates, M E, Fielding, S M
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 29.03.2016
• Subjects: Computational fluid dynamics; Computer simulation; Continuum modeling; Deformation; Drag reduction; Dynamic stability; Elastomers; Mathematical models; Nematic crystals; Nonlinear dynamics; Physics - Biological Physics; Physics - Soft Condensed Matter; Polymers; Relaxation time; Stability analysis; Strain rate; Viscoelasticity
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.1512.04440

We consider a continuum model of active viscoelastic matter, whereby an active nematic liquid-crystal is coupled to a minimal model of polymer dynamics with a viscoelastic relaxation time \(\tau_C\). To explore the resulting interplay between active and polymeric dynamics, we first generalise a linear stability analysis (from earlier studies without polymer) to derive criteria for the onset of spontaneous heterogeneous flows (strain rate) and/or deformations (strain). We find two modes of instability. The first is a viscous mode, associated with strain rate perturbations. It dominates for relatively small values of \(\tau_C\) and is a simple generalisation of the instability known previously without polymer. The second is an elastomeric mode, associated with strain perturbations, which dominates at large \(\tau_C\) and persists even as \(\tau_C\to\infty\). We explore the novel dynamical states to which these instabilities lead by means of direct numerical simulations. These reveal oscillatory shear-banded states in 1D, and activity-driven turbulence in 2D even in the elastomeric limit \(\tau_C\to\infty\). Adding polymer can also have calming effects, increasing the net throughput of spontaneous flow along a channel in a new type of "drag-reduction". Finally the effect of including strong, antagonistic coupling between nematic and polymer is examined numerically, revealing a rich array of spontaneously flowing states.