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

Author(s):  
Pinaki Kumar ◽  
Roberto Benzi ◽  
Jeannot Trampert ◽  
Federico Toschi

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’.

Soft Matter ◽  
2015 ◽  
Vol 11 (16) ◽  
pp. 3198-3214 ◽  
Author(s):  
Yogesh M. Joshi

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.


2008 ◽  
Vol 77 (4) ◽  
Author(s):  
P. C. F. Møller ◽  
S. Rodts ◽  
M. A. J. Michels ◽  
Daniel Bonn

Author(s):  
Mehrak Mahmoudi ◽  
Piroz Zamankhan ◽  
William Polashenski

The nervous system remains one of the least understood biological structures due in large part to the enormous complexity of this organ. A theoretical model for the transfer of nerve impulses would be valuable for the analysis of various phenomena in the nervous system, which are difficult to study by experiments. The central nervous system is composed of more than 100 billion neurons, through which information is transmitted via nerve impulses. Nerve impulses are not immediately apparent since each impulse may be blocked during transmission, changed from a single impulse into repetitive impulse, or integrated with impulses from other neurons to form highly intricate patterns. In the human central nervous system, a neuron secretes a chemical substance called a neurotransmitter at the synapse, and this transmitter in turn acts on another neuron to cause excitation, inhibition, or some other modification of its sensitivity.


2002 ◽  
Vol 59 (5) ◽  
pp. 786-792 ◽  
Author(s):  
D Bonn ◽  
P Coussot ◽  
H. T Huynh ◽  
F Bertrand ◽  
G Debrégeas

2010 ◽  
Vol 91 (1) ◽  
pp. 14003 ◽  
Author(s):  
R. Benzi ◽  
M. Bernaschi ◽  
M. Sbragaglia ◽  
S. Succi

1997 ◽  
Vol 08 (04) ◽  
pp. 869-877 ◽  
Author(s):  
Giorgio Amati ◽  
Sauro Succi ◽  
Renzo Piva

High resolution lattice-Boltzmann simulations of turbulent channel flow on the Quadrics parallel machine are presented. The parallel performance is discussed together with some preliminary results concerning the vorticity structures which appear near the wall layer and their influence on the scaling laws.


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