A mesoscopic model for the rheology of dilute and semidilute solutions of wormlike micelles

The concept of a “persistent worm” is introduced, representing the smallest possible length of a wormlike micelle, and modelled by a bead-spring chain with sticky beads at the ends. Persistent worms are allowed to combine with each other at their sticky ends to form wormlike micelles with a distribution of lengths, and the semiflexibility of a wormlike micelle is captured with a bending potential between springs, both within and across persistent worms that stick to each other. Multiparticle Brownian dynamics simulations of such polydisperse and “polyflexible” wormlike micelles, with hydrodynamic interactions included and coupled with reversible scission/fusion of persistent worms, are used to investigate the static and dynamic properties of wormlike micellar solutions in the dilute and unentangled semidilute concentration regimes. The influence of the sticker energy and persistent worm concentration is examined, and simulations are shown to validate theoretical mean-field predictions of the universal scaling with concentration of the chain length distribution of linear wormlike micelles, independent of the sticker energy. The presence of wormlike micelles that form rings is shown not to affect the static properties of linear wormlike micelles, and mean-field predictions of ring length distributions are validated. Linear viscoelastic storage and loss moduli are computed, and the unique features in the intermediate frequency regime compared to those of homopolymer solutions are highlighted. The inclusion of hydrodynamic interactions enables the distinction between Rouse and Zimm dynamics in wormlike micelle solutions to be elucidated. While the neglect of hydrodynamic interactions is justified in the case of entangled wormlike micelle solutions, here the scaled concentration c/c∗ at which the onset of the screening of hydrodynamic interactions occurs with increasing concentration, as a function of the scission energy, is clearly identified.