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Jamming, Avalanches, and Unpredictability: Nonlinear Dynamics ...

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<strong>Jamming</strong>, <strong>Avalanches</strong>, <strong>and</strong><br />

<strong>Unpredictability</strong>: <strong>Nonlinear</strong> <strong>Dynamics</strong> <strong>and</strong><br />

Complexity in Granular Flows<br />

Brian Utter


Granular Materials<br />

• Large number of individual solid grains, repulsive<br />

contact forces<br />

• Large energy loss (inelastic collisions or friction)<br />

• Ordinary temperature (i.e.˚C) is unimportant.<br />

Energy must be put in to change system (“out-ofequilibrium”).


<strong>Jamming</strong>, <strong>Avalanches</strong>, <strong>and</strong><br />

<strong>Unpredictability</strong>: <strong>Nonlinear</strong> <strong>Dynamics</strong> <strong>and</strong><br />

Complexity in Granular Flows<br />

Brian Utter


Granular Materials in Nature<br />

• avalanches, l<strong>and</strong>slides<br />

• sinkholes<br />

• dunes<br />

• space applications<br />

www.avalanche.org


Granular Materials in Industry<br />

QuickTime <strong>and</strong> a<br />

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• processing grains<br />

<strong>and</strong> powders<br />

• silos/<br />

pharmaceuticals/<br />

construction<br />

• metamaterials/<br />

energy absorption


“Soft Condensed Matter”<br />

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QuickTime <strong>and</strong> a<br />

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Granular materials is<br />

one of a bunch of<br />

related systems:<br />

polymers, colloids,<br />

foams, suspensions,<br />

…<br />

This is soft<br />

condensed matter<br />

(“squishy physics”)<br />

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A couple unusual properties<br />

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granular eruptions: also available at http://www.youtube.com/watch?v=YfYPJZCSI-E


These systems sometimes behave like solids, or<br />

liquids, or gases (or something else), but…<br />

There are no general equations for granular flow<br />

like we have for gases or liquids.<br />

We underst<strong>and</strong> the really basic equations between two grains<br />

(friction, collisions, energy loss, …), so what’s the problem?


An Analogy: The Pendulum<br />

What makes the pendulum come back to center?<br />

We can write an equation for the amount of time it takes for the<br />

pendulum to swing back <strong>and</strong> forth…<br />

…if we assume that the pendulum is not<br />

pushed back too far from equilibrium.<br />

…the more you push the pendulum, the<br />

stronger the pull back to the center (linear).


An Analogy: The Pendulum<br />

But what if you keep pushing?<br />

It goes over the top…<br />

<strong>Nonlinear</strong> <strong>Dynamics</strong>: When the response of the system is not<br />

proportional to how hard you push it.


An Analogy: The Pendulum<br />

And what if you stick two pendulums together?<br />

http://www.maths.tcd.ie/~plynch/SwingingSpring/doublependulum.html<br />

Chaos: Unpredictable long-term behavior.<br />

Complex System: When simple building blocks combine to<br />

produce complicated behavior.


But is this just a strange physics toy?<br />

Chaos was discovered in weather simulations.<br />

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(You’ll never have a good 10-day weather forecast!)


But is this just a strange physics toy?<br />

Climate models are non-linear:<br />

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(There can be unexpected changes, like tipping points… where it<br />

behaves like a seesaw that suddenly tips over to the other side.)


Complications<br />

(a few anyway)<br />

• Complex system (interaction of<br />

many simple parts) / history<br />

dependence<br />

• Complicated force network<br />

• Narrow regions where grains<br />

flow (“Shear b<strong>and</strong>s” )<br />

• Lots of energy lost / gets<br />

stuck or jammed


Complications<br />

(a few anyway)<br />

<br />

• Complex system (interaction of<br />

many simple parts) / history<br />

dependence<br />

• Complicated force network<br />

• Narrow regions where grains<br />

flow (“Shear b<strong>and</strong>s” )<br />

• Lots of energy lost / gets<br />

stuck or jammed<br />

Friction can keep increasing<br />

until something slips. What<br />

happens depends on how the<br />

pile was put together.


Complications<br />

(a few anyway)<br />

• Complex system (interaction of<br />

many simple parts) / history<br />

dependence<br />

<br />

• Complicated force network<br />

• Narrow regions where grains<br />

flow (“Shear b<strong>and</strong>s” )<br />

QuickTime <strong>and</strong> a<br />

YUV420 codec decompressor<br />

are needed to see this picture.<br />

• Lots of energy lost / gets<br />

stuck or jammed


Complications<br />

(a few anyway)<br />

• Complex system (interaction of<br />

many simple parts) / history<br />

dependence<br />

• Complicated force network<br />

QuickTime <strong>and</strong> a<br />

YUV420 codec decompressor<br />

are needed to see this picture.<br />

<br />

• Narrow regions where grains<br />

flow (“Shear b<strong>and</strong>s” )<br />

• Lots of energy lost / gets<br />

stuck or jammed<br />

shear


Complications<br />

(a few anyway)<br />

• Complex system (interaction of<br />

many simple parts) / history<br />

dependence<br />

• Complicated force network<br />

• Narrow regions where grains<br />

flow (“Shear b<strong>and</strong>s” )<br />

<br />

• Lots of energy lost / gets<br />

stuck or jammed


<strong>Jamming</strong><br />

How do these things unstuck?<br />

shake<br />

push<br />

harder<br />

decrease<br />

density


Hopper<br />

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<strong>Avalanches</strong><br />

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<strong>Avalanches</strong><br />

50<br />

Angle (degrees)<br />

45<br />

40<br />

35<br />

Avalanche<br />

Size of Avalance (degress)<br />

30<br />

25<br />

20<br />

15<br />

10<br />

30<br />

1<br />

0.1<br />

200 210 220 230 240 250 260 270 280<br />

Probability<br />

Time (s)<br />

0.01<br />

0.001<br />

5<br />

0<br />

0 5 10 15 20 25<br />

Previous Build-Up (degrees)<br />

0.0001<br />

1 10 100<br />

Size of Avalanche (degrees)


<strong>Avalanches</strong><br />

50<br />

Angle (degrees)<br />

45<br />

40<br />

35<br />

30<br />

200 210 220 230 240 250 260 270 280<br />

Time (s)<br />

What can we learn?<br />

-- we need statistics to describe this process<br />

-- the number of small/large avalanches looks like similar things<br />

(earthquakes) <strong>and</strong> every once in a while, the big one can hit<br />

-- large avalanches are more likely if there hasn’t been one for a while<br />

-- adding energy can trigger an avalanche, but can also make the pile<br />

stronger<br />

Segregation (separation of particles by<br />

shape, size, density, etc.) also occurs!


Particle Trajectories<br />

Diffusion, coordinated motion, force chains, etc.<br />

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QuickTime <strong>and</strong> a<br />

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QuickTime <strong>and</strong> a<br />

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“Multiphase” Flow<br />

Things get more complicated when you add a fluid to the mixture.<br />

You can get quick s<strong>and</strong> (where it becomes much easier to move through the<br />

grains with lubrication provided by the water).<br />

But you can also get shear thickening: when stirring a material (shear) causes<br />

it to become stronger (thickening). The grains & force chains to resist the<br />

motion.<br />

QuickTime <strong>and</strong> a<br />

decompressor<br />

are needed to see this picture.


One more unusual property<br />

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clustering: also available at http://pof.tnw.utwente.nl/3_research/files/clustering.mpg


And one potential application…<br />

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QuickTime <strong>and</strong> a<br />

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Robotic gripper:<br />

http://www.youtube.com/watch?v=bFW7VQpY-Ik


Where We Are…<br />

Grains are simple <strong>and</strong> ubiquitous, but granular flows are complex<br />

<strong>and</strong> unpredictable… <strong>and</strong> poorly understood.

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