scholarly journals Shear banding, aging and noise dynamics in soft glassy materials

Soft Matter ◽  
2009 ◽  
Vol 5 (12) ◽  
pp. 2378-2382 ◽  
Author(s):  
S. M. Fielding ◽  
M. E. Cates ◽  
P. Sollich
Keyword(s):  
Shear Banding ◽  
Glassy Materials ◽  
Soft Glassy Materials

scholarly journals Shear banding from lattice kinetic models with competing interactions

2011 ◽  
Vol 369 (1945) ◽  
pp. 2439-2447 ◽  
Author(s):  
Roberto Benzi ◽  
Mauro Sbragaglia ◽  
Massimo Bernaschi ◽  
Sauro Succi
Keyword(s):  
Kinetic Model ◽  
Numerical Simulations ◽  
Rheological Properties ◽  
Kinetic Models ◽  
Shear Banding ◽  
Computational Investigation ◽  
Confined Geometries ◽  
Competing Interactions ◽  
Glassy Materials ◽  
Soft Glassy Materials

We present numerical simulations based on a Boltzmann kinetic model with competing interactions, aimed at characterizing the rheological properties of soft-glassy materials. The lattice kinetic model is shown to reproduce typical signatures of driven soft-glassy flows in confined geometries, such as Herschel–Bulkley rheology, shear banding and hysteresis. This lends further credit to the present lattice kinetic model as a valuable tool for the theoretical/computational investigation of the rheology of driven soft-glassy materials under confinement.

scholarly journals A model for aging under deformation field, residual stresses and strains in soft glassy materials

Soft Matter ◽  
2015 ◽  
Vol 11 (16) ◽  
pp. 3198-3214 ◽  
Author(s):  
Yogesh M. Joshi
Keyword(s):  
Residual Stress ◽  
Relaxation Time ◽  
Simple Model ◽  
Residual Stresses ◽  
Yield Stress ◽  
Shear Banding ◽  
Stress And Strain ◽  
Glassy Materials ◽  
Soft Glassy Materials ◽  
Residual Stresses And Strains

A simple model is proposed that explicitly considers the effect of evolving relaxation time and modulus on various rheological behaviors of soft glassy materials including thixotropy, yield stress, shear banding, and residual stress and strain.

scholarly journals Yielding and Shear Banding in Soft Glassy Materials

2010 ◽  
Vol 105 (22) ◽  
Author(s):  
Abdoulaye Fall ◽  
Jose Paredes ◽  
Daniel Bonn
Keyword(s):  
Shear Banding ◽  
Glassy Materials ◽  
Soft Glassy Materials

Shear banding and yield stress in soft glassy materials

2008 ◽  
Vol 77 (4) ◽  
Author(s):  
P. C. F. Møller ◽  
S. Rodts ◽  
M. A. J. Michels ◽  
Daniel Bonn
Keyword(s):  
Yield Stress ◽  
Shear Banding ◽  
Glassy Materials ◽  
Soft Glassy Materials

scholarly journals A multi-component lattice Boltzmann approach to study the causality of plastic events

2020 ◽  
Vol 378 (2175) ◽  
pp. 20190403
Author(s):  
Pinaki Kumar ◽  
Roberto Benzi ◽  
Jeannot Trampert ◽  
Federico Toschi
Keyword(s):  
Yield Stress ◽  
Lattice Boltzmann ◽  
Soft Matter ◽  
Scaling Laws ◽  
System A ◽  
Plastic Event ◽  
Glassy Materials ◽  
Couette Cell ◽  
Soft Glassy Materials ◽  
Concentrated Emulsions

Using a multi-component lattice Boltzmann (LB) model, we perform fluid kinetic simulations of confined and concentrated emulsions. The system presents the phenomenology of soft-glassy materials, including a Herschel–Bulkley rheology, yield stress, ageing and long relaxation time scales. Shearing the emulsion in a Couette cell below the yield stress results in plastic topological re-arrangement events which follow established empirical seismic statistical scaling laws, making this system a good candidate to study the physics of earthquakes. One characteristic of this model is the tendency for events to occur in avalanche clusters, with larger events, triggering subsequent re-arrangements. While seismologists have developed statistical tools to study correlations between events, a process to confirm causality remains elusive. We present here, a modification to our LB model, involving small, fast vibrations applied to individual droplets, effectively a macroscopic forcing, which results in the arrest of the topological plastic re-arrangements. This technique provides an excellent tool for identifying causality in plastic event clusters by examining the evolution of the dynamics after ‘stopping’ an event, and then checking which subsequent events disappear. This article is part of the theme issue ‘Fluid dynamics, soft matter and complex systems: recent results and new methods’.

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