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Spontaneous Formation of Vortex in a System of Self Motorised Particles
Y. Limon Duparcmeur, H. Herrmann, J. Troadec
To cite this version:
Y. Limon Duparcmeur, H. Herrmann, J. Troadec. Spontaneous Formation of Vortex in a Sys- tem of Self Motorised Particles. Journal de Physique I, EDP Sciences, 1995, 5 (9), pp.1119-1128.
�10.1051/jp1:1995185�. �jpa-00247123�
J. Phys. I £Fonce 5
(1995)
1119-1128 SEPTEMBER1995, PAGE 1119Classification Physics Abstracts
64.70 05.60 46.30
Spontaneous Formation of Vortex in
aSystem of Self Motorised Particles
Y. Limon
Duparcmeur(~),
H.Herrmann(2)
and J. P.lhoadec(~)
(~) Groupe Matière Condensée et
Matériaux(*),
Université de Rennes I, Campus de Beaulieu,35042 Rennes Cedex, France
(~) Physique et Mécanique des Milieux
Hétérogènes(**),
Ecole Supérieure de Physique et Chimie Industrielles de la Ville de Paris, 10 rue Vauquelin, 75231 Paris Cedex 05, France(Received
29 March 1995, received in final form 9 May 1995, accepted 11 May1995)
Abstract. We study a system of disks with inelastic collisions. Euergy is giveu to trie system via a force of constant modulus, applied on each particle in trie direction of its velocity. This system shows a dynamical phase transition from a disordered system towards a system orgamzed
into a vortex when the dissipation is increased. Trie state equation of trie disordered system is obtained by usiug kiuetic theory arguments. We also show that trie transition is similar to trie
kiuetic-cluster transition observed in the cooliug of a gas of inelastic partiales.
1. Introduction
Some years ago, the kinetic
theory
has been extended to thestudy
of thedynamics
ofgranular
systems[1-4].
The main diflerence between gases andgranular
media is energydissipation during
collisions. Thus either the energy of thegranular
media decreases withtime,
or energymust be
supplied by
a source to maintain thevelocity
fluctuations. Thishappens
inflowing partiales
whenpotential
energy is transformed into kinetic energy. Another way to put energy in agranular
system isthrough
the motion ofboundaries,
as in the so-called Brazil nutproblem (5-7].
On an airtable,
thinpartiales
move and rearrangepermanently
because of small scaleheterogeneities: they
receive energy from airflowing upwards through
the porous table (8].Recently,
Vicsek et ai. (9] have introduced a model of self-drivenpartiales
to describebiolog- ica1ly
motivated interactions("Molecular
motors"(loi
In thismodel,
eachpartiale
is drivenwith a constant absolute
velocity
and assumes the average direction of motion of itsneighbours
with some added noise. A kinetic
phase
transition from no transport to finite net transport is observed when thedensity
ofpartiales
is increased and the noise is decreased.The way we use here to introduce energy into a
dry granular
material drives the system in asteady
state, with constant energy. The model that we consider consists of a two-dimensional(*) U-R-A 804
(**) U-R-A. 857
@ Les Editions de Physique1995
assembly
of disks with hard-core interactions in a container with fixedboundary
conditions. It is studiedusing
MolecularDynamic
simulations as describedby
HerrmannIll].
To introduceenergy into the system, we
apply
a constant force on eachpartiale,
such as in schools offish,
or
flying
birds in formation. This force is in the direction of thevelocity
of thepartiale
and its modulus is constant. It has been observedpreviously (12,13]
that an inelastic gas exhibitsa transition from a
homogeneous regime
towards aregime
withlong-range
correlation of the velocities andpositions
when the energydissipated during
the collisions is increased. In oursystem,
the correlation of velocities leads to asingle
vortex.Recently, Hemmingsson
(14] used the same model simulated on a lattice gas and also found vortex formation. We show thata theoretical
approach
similar to thatpresented by
HalfIii
can describe the system in the disorderedhomogeneous phase.
Thephase diagram
and theorigin
of theinstability
are then discussed.2.
Description
of trie ModelMolecular
dynamics
is a method tostudy n-body problems by solving
equations of motion.It was first used to
study liquids Ils].
Morerecently,
it was used tostudy granular
materialsIll,16].
Let us consider a two-dimensional system of N
partiales
of mass m and radius R= o-S, in
a square box of
length L,
with fixedboundary
conditions. When twopartides
andj overlap ii-e-,
their distance is smaller than the sum of theirradii)
three forcesIll]
act onpartiale1:
1) an elastic restoration force
foi "
Ym(r~j 2R)n il)
where Y is the
Young
modulus normalizedby
the mass, m the mass of thepartiale,
rjj the distance between the twooverlapping partiales,
and n theunitary
vector built on r~jpointing
from toj;
ii)
adissipation
due toinelasticity
of the collisionsfdiss
"
~'fnTllviJ.~)~
12)where ~fn is a
phenomenological dissipation
coefficient in the normal direction andV~j
= V~Vj
is the relativevelocity
ofpartiales
andj;
iii)
a shear force friction which is chosen asfshear "
~'Îsm(Vzj.s)S (3)
where ~fs is a
phenomenological dissipation
coefficient and s the unitary vector obtainedby rotating
nby
90°.Dunng
collisions with thewalls,
the forceapplied
on thepartiales
is similar to that used forinterparticle
collisions. It means that collisions with watts alsodissipate
energy. Partiales are not allowed to rotate, and no Coulomb friction is considered. In thefollowing,
we will take~fs = ~fn = ~f. As Hook's law is used for the restoration
force,
the energy restitution coefficient ofcollisions,
e, does notdepend
on the relative velocities of thecolliding partiales.
An exactrelationship
between e and ~f can be derived from theequation
of motion. Thisrelationship
does not depend on
partiale velocity
and can be written as follows:~f ce
(~~
+ln~ e)~°'~/f
Ine
(4)
N°9 VORTEX IN A SYSTEM OF SELF MOTORISED PARTICLES l121
A first-order
expansion
of this formula when e is close togives
~f ce 1 e.An externat
driving
force isapplied
at every time step on eachpartiale
to put energy into the system. The modulus of this force is constant and its direction isgiven by
thevelocity direction;
so the forceapplied
on the ithpartiale
can be written as:~~ '~~~
Î
~~~where V~ is the
velocity
vector of the i~~partiale,
l~ the modulus of this vector, and a is the"Force factor". The modulus of the acceleration does not
depend
on the mass or thevelocity
of the
particle. lhajectories
are calculatedusing
a third orderpredictor-corrector
methodIl
7].For low
packing
fraction(lower
thano-S),
the initialpositions
of thepartiales
are chosenrandomly by
an R-S-A(Random Sequential Adsorption) algorithm
(18]; forpacking
fractionlarger
than O.S, as the R-S-A-algorithm
can nolonger
beused,
the centers of thepartiales
areinitially
situated on the nodes of a square lattice. In both cases, the initial velocities of thepartiales
arerandomly
chosen. In order to let trie system reachequilibrium,
measurementsare started after about 10~ time iterations
(ten seconds). During
eachsimulation,
the total energy of the system(kinetic
energy and elasticenergy)
is recorded. In order to characterize theglobal
motion ofparticles
we have used the kinetic momentum defined as:N
M
=
£
OMj A Vi(6)
z=1
where OMj is the vector
linking
the center of the i~~partiale
to the center of the box. Ifa vortex appears in the system, the time average of M has a finite value. For a disordered system, the time average of M will be zero. Thus the kinetic momentum can be used as an order parameter to characterize a
single
vortex.3. Kinetic
Regime
Theoretical ResultsOne of the fundamental
assumptions
of the kinetictheory
is that ofcomplete
molecular chaos.This means that there are no correlations between the velocities of the individual
colliding
partiales.
In our system, we assume that there are neithervelocity
nor position correlations.Thus,
we canapply
a modified kinetictheory
to find a stateequation
of the system. Theprinciple
is to consider that the system is in asteady
state with a balance between theinput
energy and the energy
dissipated by
collisions. Bothenergies
can becalculated,
and this leads to anequation giving
the mean squarevelocity
as a function of thepacking
fractionC,
the force factor a and the energy restitution coefficient e of collisions.The energy given per time unit to the ith
partiale by
the force factor is:~)
= ma(
(7)
By averaging
over the whole system, the mean energygiven
perpartiale
and per time unit can be written as:Î °~'~~~~
~~~where V is some average over the
partiale
velocities. We have verified that thevelocity
distri- bution is never far from a Maxwelldistribution,
so that all averages of velocities of thepartiales
are
proportional
to each other. As in thefollowing,
we useproportionality
instead of strictequality,
V can be the mean squarevelocity,
as well as the mostprobable velocity.
In the same way, we do notdistinguish
between meanvelocity
of thepartiales
and mean relativevelocity
of twopartiales.
To calculate the
dissipated
energy, weneglect
eflects of the walls and consider that energyis
dissipated only by
collisions betweenpartiales.
The energydissipated
perpartiale
and per time unit isproportional
to the number of collisions per time unit and to the average energydissipated
at each collision.For a two-dimensional ideal gas, the number of collisions for one
particle
per unit of time is of the form:~
~ °~
l ~~~
where is the mean free
path
of theparticles.
Toapply
this relation to agranular
medium,we have first to assume that the contact time is very small
compared
to the time of freeflight.
This is
clearly
true in the case of lowpacking
fraction andhigh
restitution coefficient. In thecase of our
granular
system, as thepacking
fraction ishigh,
the size of triepartiales
cannot beneglected
in front of the mean freepath
of molecules in an ideal gas. Thus we write the mean freepath
in thefollowing
form:=
r(R) (10)
where is the mean free
path
of a molecule in a ideal gas andr(R)
is aperturbation taking
into account the reduction of the mean free
path
due to the size of thepartiales.
As thepacking
fraction C is aneasily
accessiblequantity
in agranular medium,
we use thefollowing relationsuip
for À:À=~=$withc=~)(~ Ill)
a = 2R is the section of collision. If we assume that tuere are
only
frontalcollisions,
one could expectr(R)
= 2R. Non-frontal collision leads to a value of
TIR)
< 2R.Assuming
tuat there are
only binary
collisions and that tueimpact
parameter is a randomvariable,
anexact calculation
gives TIR)
=~~.
In a more
general
case(multiple collisions),
as a first 2approximation
we taker(R) proportional
to tue radius R of thepartiales.
Then we write:°~
lÎ ~ ~
~~~~
wuere k is a dimensionless constant. When the
packing
fractionapproaches
tue value Go "1/k,
tends to 0.
The energy
dissipated during
onebinary
collision is alsoproportional
toil e)mV~,
wheree is the energy restitution coefficient.
Using
the energydissipation
coefficient d = 1 e, we find that thedissipated
energy perpartiale
and per time unit isproportionalto
the cube of the meanvelocity
dividedby
the mean freepath.
~~'
oe
ndmv~ (13)
~$
oe m V~(14)
A similar result has been obtained
by
HaflIii using
a similarapproach.
In the case of correlation of motion in the system, like forflowing particles,
the samecomputation
can bedone, replacing
V
by
the fluctuation ofvelocity
around its mean local value. For our system, as allpartiales
N°9 VORTEX IN A SYSTEM OF SELF MOTORISED PARTICLES l123
10~
a=30
a=10 10~
~ 2
tf
10~
Ui
~~i
a=0.10°
2 3 4 5 6 7 8 9
lÙ y
Fig. l. Log-Log plot of the energy versus ~f for vanous values of a, for C
= 0.45 and L
= 15. 7 is
increased from 1 to 11 aud theu decreased to 1. One con notice that ail plots cou be put on top of each orner by dividing trie energy by a
(trie
forcefactor).
bave the same mass and size and
by considering
the balance between thedissipated
energyand the
input
energy, we find thefollowing
equation of state for trie disorderedsteady
state:V~ ce
Î
d Ck)
Rils)
4. Kinetic
Regime
Numerical ResultsIn
Figure
1, we haveplotted
inlogarithmic
scale the total energy E of the system versus ~f for diflerent values of a, andgiven
values of L and Nii-e-, C).
As ~f ceil e),
d isproportional
to ~f when d is close to zero. We have verified that this
approximation
is valid for the results shown below. Therefore we will use ~f instead of d in thefollowing.
For low values of ~f, thevariations of E are linear with the same
slope j-1)
for ail a, L and C. In agreement with the theoretical stateequation ils),
E isproportional
to1/~f
and also to a. Above a certain value~f~ of ~f, the energy is
larger
thon the theoretical one: we will see below that this is due to atransition of the system to a vortex
regime.
In order to compare ail results, we have
plotted
inFigure
2 a normalized energy perparticle
versus for diflerent values of a,
d,
N and L for~f < ~f~. The normalized energy
En
is defined~_
C
En =
E~ (16)
N a
A very
good
agreement is found between the theoreticalequation
of state(represented by
thestraight line)
and the numencal data. The value obtained for Go =1/k
is 0.82 ~ D.ol. It is notcompatible
with that calculatedby assuming
that there areonly binary
collisions(Go
" 1, seeabove). Surprisingly,
it is the samedensity
as that of the 2D Random ClosePacking (R.C.P.).
£
Q~~
OE
©w
~
ÎÎ~
2
#4 fl3~
q
E Z
UC
0
UCO
2 4 6Fig. 2. Plot of the normahzed energy versus
1/C.
Disordered systems are ail ou the same finewhathever trie values of a, i, L, C.
Above this
density long-range
correlations appear in the positions ofpartiales
(19]. So the modelpredicts
that the system has novelocity
fluctuations around the local average when it reaches such apacking
fraction.5. Phase Wansition Numerical Results
One can notice m
Figure
1 that while ~f increases above the value ~f~, the energy becomeslarger
than that calculated
by
the kinetictheory.
This is due to aphase
transition from a disordered system (~f < ~f~) to a systemorganized
into a vortex (~f > ~f~). The kinetic momentum M is used as a parameter to characterize the presence of asingle
vortex. One cari see inFigure
3that
M,
which fluctuates around 0 for ~f < ~f~, decreasessteeply
to anegative
value(constant
in time anddepending
ofL,
a, ~f andC)
when~f is increased above ~f~.
Figure
4gives
asnapshot
of a system below ~f~, with no correlation of
velocity
orposition,
M is a white noise of zero average.Figure
5 shows the same system above ~f~:locally,
the velocities of theparticles
ail point in the same direction. Theglobal
motion is a vortex and M fluctuates m time around aconstant
(non-zero)
value. Thepacking
is nothomogeneous,
thedensity being larger
near theboundaries than in the center of the cell.
From the values of
~f~ obtained in many
simulations,
witu diflerent values of a,L,
andN,
we have
plotted (Fig. 6)
in theplane (~f,1/C)
the linesseparating
the vortexregime (above)
from the
homogeneous regime (below),
for three values of L. It appears that the transition fines do notdepend
on a. On the contrary, the transitionstrongly depends
on the size of the system: thelarger
thebox,
the lower ~f~. For very small values ofC,
no transition is observedm the studied range of ~f; the system is
homogeneous.
Then when C increases, the transitioncurves show a minimum for a value of C close to 0.6
increasing slightly
with L.In a gas of inelastic partiales, a local increase of the
packing
fraction C increases the collisionfrequency
and thus the localdissipation
of energy(dissipation
of the relativevelocity).
The pressure isproportional
both to C and to thevelocity
fluctuations. When thedensity
ofN°9 VORTEX IN A SYSTEM OF SELF MOTORISED PARTICLES l125
DD
o
-50
-1DO
2 4 6 8 in
y
Fig. 3. Liuear plot of the kiuetic momentum M versus ~f for L = 15, a = 5, C
= 0.45. ~fis mcreased from 1 to 11 aud then decreased to1.
Fig. 4. Snapshot of a system of 400 particles m the disordered phase
(C
= 0.5, a = 1, ~f = 1). Triesize of trie box is L
= 25. The circles represent the partiales, trie Eues represeut the velocity vectors.
~o
o
Fig. 5. Snapshot of
a system of 400 partiales in the vortex regime
(C
= 0.5, a = 1, 7
" 5). The
size of the box is L
= 25. The circles represent trie partiales, trie fines represent trie velocity vectors.
?
L=15
Vomex L=20
L=25
o
Homogeneous
uc
1 2 3 4 5 6
Fig. 6. Transition bues from a disordered system to a vortex regime in trie
I?i 1/C)
plane fordifierent sizes L, a being between ù-1 aud 1.
partiales locally
increases, if thedissipation
islarge id large),
there will be a decrease of the pressure in thatplace.
The flux ofpartiales
will then go from lowpacking
fraction andhigh
energy areas to
high packing
fraction and low energy areasamplifying
thedensity
variation andleading
to the formation of a "duster". This is theorigin
of the transition from the "kineticN°9 VORTEX IN A SYSTEM OF SELF MOTORISED PARTICLES l127
regime"
to the "clusterregime"
in thecooling
of a gas of inelasticpartiales
as describedby
Goldhirsch and Zanetti (12] and Mc Namarra (13]. Thevelocity
of the center of mass of a cluster is not modifiedby
the collisions ofparticles
inside thecluster,
and in our case the center of mass of a cluster is acceleratedby
the force. This mechanism tends to decreasevelocity
fluctuations in a certainneighbourhood,
andamplify
themacroscopic
motion. Thisis also the mechanism
explaining
triedynamical phase
transition observedby
Vicsek et ai. (9](the averaging
ofvelocity
directions in the Vicsek model can becompared locally
to thecooling
of agranular medium).
The appearance oflong-range
selforganized
motion therefore seems to be ageneral
property ofdissipative
interactions, Another argument in favor of the relation to the kinetic-cluster transition is theshape
of the transition fines. For C <0.6,
we have~f~ c~
1/L~C~.
This is the Iimit of thestability
of the heat mode(homogeneous cooling)
of a gas of inelasticparticles
asgiven by
McNamara (20] who also found aparticular
behaviour forhigh packing
fractions.6. Conclusion
Increasing
thedissipation
m agranular medium,
we bave observed a transition from a homo- geneousregime
to a vortexregime.
This appears to be similar to the kinetic-cluster transition observedby
McNamara (13]. In our case, a vortex is theonly possible steady
motion withlong-range
ordercompatible
with fixedboundary conditions,
ascompared
to the two streams foundby
McNamara (20] whenperiodic boundary
conditions areapplied.
Somehigher
order modes can be obtained in arectangular box; nevertheless, they
are not stable:depending
on the initial conditions we can have two metastable vortices, but after a
while,
one of the vortices stretches out, and its motion becomes faster andfaster,
the other vortex becomes smaller andsmaller,
itspacking
fractionincreases,
and its motion slows down(the viscosity
increases with the
packing fraction).
The system then evolves towards oneelongated
vortexfilling
the entire system. The energy of this vortex ishigher
than the energy of the two small vortices. Theinstability
ofhigh-order
modes and theindependence
of the transition from the force factor a(taking
the temperatureproportional
to theenergy)
seem to show that thisinstability
is diflerent from theRayleigh-Benard
or other dassicalhydrodynamic
instabilities undergradient.
This model also
gives
information on the kinetics ofdissipative
gases. The R-C-P limit appears to beimportant
fordynamical properties.
It is the maximumpacking
fraction above which uncorrelated motion is no morepossible.
It is also the limit where theviscosity
increasessteeply
because ofgeometrical
eflects. Thisprobably explains
that d~ increases for C > 0.6.Some diflerent forces could be studied. A force
depending
on trie localpacking
fraction mustmodify
the transition.Adding
a noise to trie force could also beinteresting.
Acknowledgments
We thank D.
Bideau,
G.Batrouni,
I.Ippolito
and S. Roux for useful discussions. This workwas
partly supported by
the GDR CNRS"Physique
des MilieuxHétérogènes Complexes".
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