Jamming
description
Transcript of Jamming
JammingPeter Olsson, Umeå University
Stephen Teitel, University of Rochester
Supported by: US Department of Energy
Swedish High Performance Computing Center North
Quantum Jamming in the ħ→ 0 limit
what is jamming?
transition from flowing to rigid in condensed matter systems
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the structural glass transition
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shear stress
solid:shear modulus
liquid:shear viscosity
liquid solid
glass
coolTm
coolTg
short rangecorrelations
long rangecorrelations
??????correlations
the structural glass transitionliquid:
shear modulus
shear viscosity
glass:shear modulus
shear viscosity
glass transitionviscosity diverges
equilibrium transition? (diverging length scale) dynamic transition? (diverging time scale)
no transition? (glass is just slow liquid)
one of the greatest unresolved problems of condensed matter physics
transition from flowing to rigid but disordered structurethermally driven
sheared foams
polydisperse densely packed gas bubbles
transition from flowing to rigid but disordered structureshear driven
thermal fluctuations negligible
critical yield stress
foam has shear flow like a liquid
foam ceases to flow and behaves like an elastic solid
granular materials
large weakly interacting grains
thermal fluctuations negligible
transition from flowing to rigid but disordered structurevolume density driven
the jamming transition
critical volume density
grains flow like a liquid
grains jam, a finite shearmodulus develops
This false color image is taken from Dan Howell's experiments. This is a 2D experiment in which a collection of disks undergoes steady shearing. The red regions mean large local force, and the blue regions mean weak local force. The stress chains show in red. The key point is that on at least the scale of this experiment, forces in granular systems are inhomogeneous and itermittent if the system is deformed. We detect the forces by means of photoelasticity: when the grains deform, they rotate the polarization of light passing through them.
Howell, Behringer, Veje, PRL 1999 and Veje, Howell, Behringer, PRE 1999
isostatic limit in d dimensions
number of contacts:
number of force balance equations: Nd(for repulsive frictionless particles)
Z is average contactsper particle
isostatic stability when these are equal
seems well obeyed at jamming c
T
Jyield stress
glas
s
conjecture by Liu and Nagel (Nature 1998)
jamming, foams, glass, all different aspects of a unified phase diagram with three axes:
temperature volume density applied shear stress (nonequilibrium axis)
“point J” is a critical point“the epitome of disorder”
here we consider the plane at T = 0 in 2D
flowing ➝ rigid but disordered
surface below which
states are jammed
jamming transition“point J”
critical scaling at point J influencesbehavior at finite T and finite .
understanding = 0 jamming at “point J” may have implications for understanding the glass transition at finite
shear stress
shear viscosity of a flowing granular material
velocity gradient
shear viscosity
if jamming is like a critical point we expect
above jamming
below jamming
⇒ shear flow in fluid state
model granular material
bidisperse mixture of soft disks in two dimensions at T = 0equal numbers of disks with diameters d1 = 1, d2 = 1.4
for N disks in area LxLy the volume density is
interaction V(r) (frictionless)
non-overlapping ⇒ non-interacting
overlapping ⇒harmonic repulsion
r
(Durian, PRL 1995 (foams);O’Hern, Silbert, Liu, Nagel, PRE 2003)
overdamped dynamics
Lx = Ly
N = 1024 for < 0.844 N = 2048 for ≥ 0.844t ~ 1/N, integrate with Heun’s methodtotal shear displacement ~ 10, ranging from 1 to 200 depending on N and
simulation parameters
finite size effects negligible(can’t get too close to c)
animation at: = 0.830 0.838 < c ≃ 0.8415 = 10-5
results for small = 10-5 (represents → 0 limit, “point J”)
as N increases, vanishes continuously at c ≃ 0.8415
smaller systems jam below c
results for finite shear stress
c
c
scaling about “point J” for finite shear stress
scaling hypothesis (2nd order phase transitions):
at a 2nd order critical point, a diverging correlation length determines all critical behavior
quantities that vanish at the critical point all scale as some power of
rescaling the correlation length, → b, corresponds to rescaling
J
c
control parameters
≡c ,
critical “point J”
,
~ b1/ , ~ b , ~ b
we thus get the scaling law
choose length rescaling factor b
crossover scaling variable
crossover scaling exponent
scaling law
crossover scaling function
scaling collapse of viscosity
point J is a true 2nd order critical point
correlation length
transverse velocity correlation function (average shear flow along x)
distance to minimum gives correlation length
regions separated by are anti-correlated
motion is by rotationof regions of size
scaling collapse of correlation length
diverges at point J
phase diagram in plane
volume density
shea
r stre
ss
jammed
flowing
“point J”
0 c
c
'
'
cz0
conclusions
• point J is a true 2nd order critical point
• critical scaling extends to non-equilibrium driven steady states at finite shear stress in agreement with proposal by Liu and Nagel
• correlation length diverges at point J
• diverging correlation length is more readily observed in driven non-equilibrium steady state than in equilibrium state
• finite temperature?