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Submitted on 1 Jan 1990
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The statistical mechanics of meandering
R. Bruinsma
To cite this version:
The statistical mechanics of
meandering
R. Bruinsma
Physics Department
& Solid State Science Center,University
of California, LosAngeles,
LosAngeles,
CA, 90024, U.S.A.(Reçu
le 17juillet
1989,accepté
sousforme définitive
le 1 b novembre1989)
Résumé. 2014 On
présente
un modèlesimple
décrivant lastatistique
du serpentement d’écoulements étroits sur un substrat propre et lisse. Ce modèleprésente
troisrégimes
différents suivant le débit:(i)
pour des faibles débits, letrajet
est une marche aléatoire stationnaire ;(ii)
pour des débitsintermédiaires,
des méandres stationnairesapparaissent. L’apparition
de ces méandres est très similaire à laphysique
des transitions dephase
continues ;(iii)
pour des débits élevés, les méandres commencent àglisser.
Leproblème
dudécrochage
des méandres estéquivalent
auproblème
dudécrochage
desparois
dans lessystèmes
magnétiques
désordonnés. Cettecorrespondance
permet de calculer le débitcritique
oùapparaît
leglissement
desméandres.
Abstract. 2014 We
present a
simple
mathematical model to describe the statisticalproperties
of themeandering
of narrow streams on clean and smooth substrates. The model is shown to contain three differentregimes, depending
on the flow rate :(i)
at low rates, the streampath
is atime-independent
random walk ;(ii)
for intermediate flow rates, static meanders appear. The onset ofmeandering
is found to beclosely analogous
to thephysics
of continuousphase
transitions ;(iii)
athigh
flow rates, the meanders start to slide downhill. Theproblem
of thedepinning
of meanders can bemapped
onto theproblem
of domain-walldepinning
in disordered magnets.Using
thiscorrespondence,
we can compute the critical flow rate for the onset of meandersliding.
ClassificationPhysics
Abstracts 05.40 - 46.30 -68.42
1. Introduction.
Under
non-equilibrium
conditions,
the surfaces andinterphases
encountered in solid-statephysics
can exhibitfascinating
patterns.
Well knownexamples
aredendrites,
diffusion-limitedaggregation
and ballisticdeposition.
Fluid interfaces can also showpattern
formation asdemonstrated
by
viscousfingering.
We will discuss in this paper a familiar
hydrodynamic
instability
- streammeandering
[1]
-
which shows
pattern
formation. Thisinstability
exhibits a number of features reminiscent of criticalphenomena
in condensed matterphysics
- asimilarity
which we willexploit
lateron. A well known
example
of theinstability
is themeandering
of rivers. Rivermeandering
has been along-standing fascinating problem
with a considerable literature[2]
to which evenEinstein contributed. It involves a
complex interplay
between soil erosion andhydrodynamics.
In thepresent
paper, we will consider aclosely
related butsimpler problem namely
thequestion
offinding
themorphology
of thestream-path
of a narrow streamflowing
down a(rigid)
inclinedplane.
The fluid is assumed to benon-wetting.
There are a number ofsimplifications
in this case :(i)
forsufficiently
narrow streams andsufficiently
low flow rates, one may use thePoiseuille
approximation ;
(ii)
erosionplays
no role for arigid
substrate ;
(iii)
for narrow streams, surface tensionprovides
animportant
stabilizing
action whichsimplifies
theanalysis.
The
problem
wasinvestigated experimentally by Nakagawa
and Scott[3]
andby
Walker[4].
We willbriefly
review their results for different values of the volume flow rateI.
(i)
Forlarge
inclinations of theplane
(> 30° ),
the stream forms stable meanders. The meanders consist ofrelatively straight diagonals
connectedby
sharp
bends. At lowI,
the meanders are lessprominent
while thestream-path
isstrongly
correlated with thepath
taken
by
the stream when the flow was turned on. It alsodepends
onheight
irregularities
andchemical contamination.
The
shape
of the meanders of narrow streams differs from that of the meanders of rivers(which
are« sine-generated »
curves[2])
but for convenience we will retain the name.(ii)
Withincreasing
I,
thestream-path
isreorganized
andmeandering
becomesstronger.
The appearance of the meanders appears to betriggered by
turbulence and/or deformation of the stream cross-section. Forlarger
I,
it may take along
time before thestream-path
stabilizes into a static
pattern.
(iii)
Above a critical flow rate,1,,2,
thestream-path
is unstable. Meandersconstantly
break up,reform,
and slide downwards. Streams also may bifurcate.(iv)
For low inclinations of theplane
( 30° ),
there is a second critical current,ici.
For I less thenIci
the stream breaks up intodroplets sliding individually
down theplane.
Thephysical
origin
of the destabilization ofstraight
streamprofiles
is thecentrifugal
forcef k
exertedby
aflowing
fluid on a curvedboundary
surface(see Fig. 1).
If theboundary
forces a narrow stream of fluid to flowalong
a curve, then thechange
in momentum of the fluidFig.
1. -elements,
asthey
movethrough
the curve, must be absordedby
theboundary.
Theresulting
force tries to increase the curvature of the streamprofile
and to deform the cross-section of the stream. The stream becomeslonger
as a result. The ratioS (L )
of the streamlength
andgeometrical
distance L between the initial and finalpoints
of the stream is called thesinusuosity.
Mandelbrot[5]
noted that forrivers,
S (L )
has apower-law
dependence
onL. The
instability
may betriggered by
small initial deformations in the streamcross-section,
as wasemphasized by Nakagawa
and Scott.The increase in
length
of the streampath
isopposed by
the surface tension forcef
which
tries to minimize the surface area of the fluid(Fig. 1).
At low flow rates, surfacetension wins so the stream should be
relatively straight.
With increased flow rates, surfacetension is overcome
by
thecentrifugal
force andmeandering
starts.The third
important
force isgravity.
Thecomponent
of thegravitational
forceparallel
tothe
stream-path
is reduced in thediagonal
sections ascompared
with that of astream-path
flowing
in the direction ofsteepest
descent. This means that the flowvelocity
also is reduced.Under
steady
stateconditions,
the volume flow rate I should be a fixedquantity
so the stream cross-section of thediagonal
sections must have increased. This indeed is seenexperimentally.
The
diagonal
sections become unstable due to thecomponent
f g
of thegravitational
force in the direction normal to thestream-path
(Fig.1).
This is also the force which isresponsible
for thesliding.
If we rotate adiagonal
section towards thehorizontal,
then theparallel
forcedecreases in
magnitude
while the normal force increases. The reduction of theparallel
forceleads,
as we saw, to a reduced flowvelocity
and a concomitant increase in the mass per unitlength.
The normal force then tries to slide the heavier sections downhill.The aim of this paper is to construct a mathematical model for narrow-stream
meandering
which is
sufficiently simple
so that it can be treated eitheranalytically
ornumerically.
Eventhough
we aredealing
with asimpler problem
then rivermeandering,
our model stillinvolves a number of
simplifications.
The modelcertainly
does notattempt
toprovide
anexact
description
of thehydrodynamics
of the stream. It has however been theexperience
ingrowth
problems
that thelarge
distancegeometrical properties
of a surface or interface arerelatively
insensitive to details aslong
as the basicphysical
mechanisms areproperly
included.The
hope
is thus that the modelpresented
in section 2 is useful forcomputing large
scaleproperties.
Whether this is indeed the case would of course would have to be confirmedexperimentally.
Some of the limitations of the model are discussed in the final section.In section
3,
we firstdevelop
ananalogy
with thetheory
of continuousphase
transitions anddiscuss the associated «
phase-diagram
». In section 4 wecompute
therelationship
betweenthe threshold flow rate
1 c
for the onset ofmeandering
and the treshold flow rateIc2
for
the onset of meandersliding.
In section5,
we compare withexperiment, briefly
discussthe
dynamical
aspects
of theproblem,
such as thesliding velocity,
and we finishby
reexamining
the « Landau »description
of section 2.2. The meander model.
2.1 FORMULATION. - We start
by defining
the inclinedplane
down which the stream isflowing.
Let r =(x, y )
be a horizontal surface with x e[0, L ]
and let y be unbounded. Theinclined
plane
is assumed to have an averageheight
ho (r )
= - ax, with a thetangent
of theangle
between the horizontalplane
and the inclined surface. Wealready
noted that thestream-path
appears to be sensitive toheight irregularities
and chemical contamination. From thetheory
ofwetting
[6],
we know that chemical contamination has a similar effect asheight
We will
distinguish
twotypes
ofheight irregularities :
(i)
« Microscopic » irregularities.
These are fluctuations in theheight
onlength-scales
less then the stream width 2 R. The stream cannotadjust
its course todirectly respond
to thesefluctuations. We will
only
be concerned with the variation of the average of thesemicroscopic
irregularities
over area’s of sizeR2.
(ii)
« Macroscopic » irregularities.
These areirregularities
to which thestream-path
canrespond.
There are two contributions : trueheight irregularities
onlength
scales in excess of 2 R and the statistical fluctuations in the average of themicroscopic irregularities
over area’sof size
R2.
We will assume that the surface is flat onlarge length-scales
andignore
the first contribution.The
height
randomness will be includedby
adding
a(small),
uncorrelated,
stochastic term toho.
Theheight
profile
h (r)
is thenHère,
E (r)
is a Gaussian random variable with zero average and with a correlation function :The dimensionless
parameter à
measures themagnitude
of theheight
disorder. It is assumed to be a small number.According
toequation
(2.2),
there are no correlations in theheight irregularities
among differentparts
of the surface.Yet,
it should bekept
in mind thate
only
describes themacroscopic
fluctuations of thetopography
of the inclinedplane
so£ (r )
is smooth onlength-scales
less then R. The delta-function inequation (2.2)
should thus be considered to be rounded onlength
scales less then R. We will treat R as the short distance « cut-off » : noquantity
is allowed to vary onlength
scales less then R.Next,
we turn to the mathematicaldescription
of thestream-path.
Letr (s )
be theprojection
of the centre-line of the stream onto the horizontalplane
with s thearc-length.
Thetangent
unit vectorÎ(s)
to theprojected
centre-line isThe curvature K
(s)
of theprojected
centre-line is thengiven by
with û the unit normal. Positive curvature is
assigned
to bends inr (s )
curved towards thepositive y
axis andnegative
curvature in theopposite
case(see Fig. 2).
Fig.
2. -There are two
parts
indetermining
theequation
of motion ofr (s ).
First we must, for agiven
r (s ),
determine the flowvelocity
and the stream cross-section.Next,
we must use thisresult to calculate the various forces on
r (s )
mentioned in the introduction.To determine flow
velocity
andcross-section,
we assume that theequilibrium
contactangle
is
TT /2
so the cross-section is semi-circular. Letv (s )
be the flowvelocity averaged
across thestream. It is related to the total flow rate I
by
with p the
density.
The flow rate is a constant understeady-state
conditions,
so a low flowvelocity implies
alarge
cross-section,
as seenexperimentally.
The flow
velocity
must be determined from the Navier-Stokesequation.
We will assume Poiseuille flow. If v(s )
andR (s )
areslowly
varying
(i.e.
ifdv/ds v IR and dR/ds 1)
thenthis means that
with n the
viscosity
and C’ a numerical constant. Thequantity
in square brackets is thedrop
inheight
per unitlength along
the flow direction. We assume inequation (2.6)
that the curvature radius of thestream-path
islarge compared
to R.After
using equation
(2.5)
to eliminateR(s),
equation
(2.6)
reduces towith a value for
R (s )
given by
and C =
(2 C’ / TT )1/2.
This expressesv(s)
in terms ofr(s),
as desired.Our next
problem
is tocompute
the force per unitlength,
f (s ) n (s ),
onr (s ).
It is the sumof a
centrifugal
forcefk
-resulting
fromabsorption
of momentum from the fluid - agravitational
forcefg,
and a surface tension forcef, (see
Fig.
1).
To
compute
fk,
we note that the momentumdp
of a section of fluid oflength
ds is
given by
After a time
dt,
the fluid element has moved a distancev(s)
dt.By
Newton’slaw,
the rate ofchance in momentum,
(dp
(s )/ds )
v(s ),
of the fluid element isequal
to the force exerted onthe
boundary by
the fluid element. Thecentrifugal
forcef k
per unitlength
is thenafter
using equation
(2.4).
The
gravitational
force per unitlength
isThe
quantity
in brackets is theheight drop
per unitlength
in the normal direction. This is the forceresponsible
for thesliding
of the meanders.Finally,
the surface tension forcef S.
It can be found as follows. Let y be the interfacialsubstrate,
and 7sv the interfacial energy between substrate and air. The surface energyEs
is thenFrom
Young’s
law it follows that 1’ls =y, if
thecontact-angle
is 7r/2.Equation
(2.11 )
canbe
interpreted
as the energy of an elasticstring
with a line tension7r yR (s).
Therestoring
force per unit
length
of an elasticstring
is the line tension times the curvature soThe minus
sign
is due to the fact thatf, is
arestoring
force.The total force/unit
length
is the sum of the three terms.Using
equation
(2.7)
to eliminateR (s )
andv (s )
gives :
with
the « effective » line tension and with
We used
everywhere
equation (2.7)
to eliminateR (s )
and v(s).
From the forces exerted on the
stream-path,
we should now be able to find theequation
of motion. The condition forr (s )
to be astationary
streampath
isf (s )
= 0 orFor
non-stationary stream-paths,
we will assume that the normalvelocity
Vn of thestream-paths
isproportional
tof (s ) :
with r a
dynamic
friction coefficient.2.2 ENERGY CONSERVATION. - Since the
stream-path
is determinedby
a combination ofdissipative
and conservativeforces,
we cannot(in general)
deriveequation
(2.15)
from anenergy minimization
principle.
Energy
conservation doesgive
us however arelationship
between the average flow
velocity
and thesinusuosity
(ratio
ofarc-length
andL).
This iseasily
derivedby noting
that the work per second W doneby
gravity
inmoving
fluid elementsfrom x = 0 to x = L should
equal
the power Pdissipated by
viscous losses.The
quantity
W isequal
tosince every fluid element
traveling
from one end of the stream to another hasdropped
abecause
(n/ C’)
v (s)IR2(s)
is the averagedissipative
force/unit volume(see
Eq.
(2.6)).
It follows thatif (v2)
is the average ofv2(s)
along
thestream-path
thenwith
S(L)
the ratio ofarc-length
and L.Increasing
thelength
of thestream-path
reduces the flowvelocity
of the stream. For aheight
topography
withstrong
randomness,
S (L )
may be apower of L
(as
for realrivers).
In that case,(u2)
goes to zero in thelarge
L limit. In our case,where the randomness is
weak,
weexpect
S (L )
to go to a constant forlarge
L. 3. Themeandering
transition.3.1 LANDAU THEORY. - In this section we will discuss
equation
(2.15)
first from aqualitative
« Landau »viewpoint
[7]
as aguide
for thequantitative
treatment.The
morphology
of thestream-path
islargely
controlledby
the effective line tensionT(s).
For low flow rates the first(positive)
contribution toT (s) (oc
I1/4)
islarger
then the second(negative)
contribution(oc
I3/2)
soT(s)
ispositive
(see
Eq.
(2.14a)).
As Iincreases,
T
(s )
firstincreases,
reaches amaximum,
decreases and then becomesnegative.
The threshold flow rateI,
whereT (s )
changes sign
isNote that the threshold
depends
on theangle
of thestream-path.
If
T (s)
ispositive,
then the line tension tries tostraighten
thestream-path.
Thegravitational
forcefavors,
on average, a streamprofile
directedalong
x We thusexpect
thatÎ
is closeto:k,
forpositive
r(s),
since that wouldsatisfy
bothrequirements.
The threshold flowrate
le
fort =
i isFor
negative
T(s),
the first term inequation
(2.15)
tries to increase thelength
of thestream-path.
The most obvious way ofincreasing
thelength
isby introducing
bends and buckles. Anatural guess would be that
I=I c
marks the threshold currentI c2
for adynamic
instability.
In thefollowing
we willinvestigate
whathappens
to thestream-path
for Iright
aroundIc.
This means that thetangent
Î
isalways
close to k. Note however that even if1 = k,
the cumulative effect of alarge
number of smalldisplacements
in thestream-path
could,
forlarge
distancesL,
still lead to alarge
netdisplacement along
they
direction. This isexpected
to becomeparticularly
noticeable for I close to1 c
where the line tension is small. For I close toIc,
there are considerablesimplifications
in theequation
of motion : sinceÎ
=k,
thegravitational
force ispredominantly along
the stream direction and the flowvelocity,
stream cross-section and line tension are to lowest orderindependent
ofWhen t =
î,
it is also convenient to use thefollowing
representation
for the streamprofile :
Since t =
î,
the derivativedg/dx
is smallcompared
to one.By expanding equation
(2.15)
in ~powers ofdg /dx,
weget
where
We will discuss
equation (3.5a)
in more detail below.First,
we will write it in a differentform to exhibit the relation between stream
meandering
and continuousphase
transitions.Neglecting
the random contribution inequation
(3.5a)
we can write it aswith 0
=dg /dx.
To solveequation
(3.6),
think of it as theequation
of motion of a«
particle »
with« position »
0
and « time » x. Theparticle dissipatively
relaxes in a «potential
»F (~ )
given by
For
large
« time »x, qb
must go to aminimum 0
* ofF (0 )
whereaF (0
* )/a 0
= 0.For
positive
T,F ( ~ )
has aunique
minimumat ~ * = 0. By expanding
F around0
=0,
andsolving
equation (3.6)
we findwith 0
(0)
theslope
at x = 0 and withThe
slope 0
of thestream-path
thus goesexponentially
to zero with adecay
length
e’.
By
analogy
with thephysics
ofpolymers
andmembranes,
we could think ofe ’
as a «persistence
»length :
thestream-path
isstraight
onlength-scales
smallcompared
toe ’.
The «angle-angle »
correlation function shoulddecay with e ’
asdecay length.
Note thatç +
goes to zero at1 = le according
toequation
(3.9).
Inreality,
we know from thephysical
meaning of e’
that it cannot be less then themicroscopic
cutoff R. Fornegative
T,F ( cp )
has two(infinitely deep)
minima atUsing equation
(2.14b)
andequation
(3.3),
For
large x
theslope
must assume one of these two values.Apparently,
thestream-path
In the
language
of condensed-matterphysics
we would say thatI=Ic
is the criticalpoint
for a continuous
phase-transition.
Thespontaneously
brokensymmetry
for I>le
would bethe mirror reflection y - - y
while 0
wouldplay
the role of orderparameter.
Thecorresponding
Landau free energy[7]
for ~
isF (0 ).
Asexpected
from a Landau free energy,F (0 )
has one minimum in thesymmetric
phase
(0
=0 )
and twodegenerate
minima in thebroken-symmetry
phase.
Thedependence
of the orderparameter
on the controlparameter
of the transition(the
volume flow rateI)
is also what isexpected
from a(mean-field)
Landautheory
for continuous transitions.However,
thepersistence
length §+
does notdiverge
at1 c
as would beexpected
for a correlationlength
in Landaudescription.
We shall see insection 5 that the Landau
picture
is notquite
valid. 3.2 SYMMETRIC PHASE(I le).
- Wenow will
investigate
the effect of the randomness(i.e.
of
e (r))
on the Landaudescription
of thepreceding
section. We willmostly
use methodsborrowed from statistical mechanics and
consider,
whereverpossible, equation
(2.15)
asbeing
derived from a Hamiltonian H. Statistical mechanicsproblems
which involve«
quenched-in
»randomness,
frequently
lead tohysteresis,
i. e. ,
with the behaviourdepending
on the
preparation
history.
For thepresent
purposes, we restrict ourselves toelementary
methods which do not take account of thehysteresis
but which dohelp
togive
intuitiveinsight.
We start with the case I
le
where the « bare » line tension T has astabilizing
effect on thestream-path.
The termT’ (dg /dx )2
isstabilizing
as well. Ifdg
ldx «
1,
as we have beenassuming,
we mayneglect
this term incomparison
with T.Neglecting
this term,equation
(3.5a)
reduces toWe can obtain intuitive
insight
into thelong
distance behaviour ofequation
(3.11)
by
assuming
aparabolic stream-path :
g (x )
=W(L) (xlL)2
withW(L) «
L. The first term inequation
(3.11)
is of orderW (L )/L2
while the second term is if orderW(L)/03BE+
L. ForL > 03BE
+,
the first term isneglible compared
to the second term.We can estimate the
magnitude
of last term from its RMS average. The total random force on astraight stream-path
oflength
L isproportional
toL 1/2 using
the central limit theorem. The force per unitlength
then scales as1/L1/2.
This random force tries todisplace
thestream-path
away fromW(L )
= 0.By
balancing
it with therestoring
force/unitlength, proportional
toW(L)/L,
we find thatW (L )
isproportional
toL 1/2 which
would mean that thestream-path
behaves as a random walk. We will
investigate
thelimits 03BE+
-> 0and § +
-.> oo to find theproportionality
constant betweenW (L )
andL 1/2.
First consider the critical
point
I =le where e’
= 0. Theresulting
equation,
states that the
tangent
t = (1, dg/dx)
isparallel
to Vh. Thestream-path
isentirely
determined
by
thetopography
of the surface. Moreprecisely,
the stream flowsperpendicular
to constant
height
contour lines. For ourparticular
choice of the surfacetopography,
equation
(2.1),
lines ofsteepest
descent are random walks with a bias towards thenegative
x axis
(directed
randomwalk).
It is easy to estimate the
displacement
along
the y direction forequation
(3.12).
Thestream-path
canonly undergo
of orderL/R
sidewisedisplacement
steps
(a
morerapid
variation isunphysical).
Thetypical
value ofaEl8g
for such astep
is of order a.According
toW(L)
afterL/R
steps
is of orderusing again
the central-limit theorem.Next we consider the limit of
large g+
and,
consequently,
large
T. In this case,g (x )
can varyonly slowly.
Let(g )
be the average ofg (x ).
Forlarge
T,g (x )
must remain close to(g ) .
We will use aperturbation
expansion
in powers of d and of the correctiong’
= g -(g ) .
To lowest order :This
equation
can be treatedby
once moreapplying
ananalogy
with mechanics. Let g stand forparticle
position
and x for time. Theequation
is then of the form of aLangevin
equation
for aparticle
with unit mass and friction constant(03BE+
)-1
exposed
to a noise source.The correlation function of the noise is
using equation
(2.2).
The effective noise
« température »
T in this« Langevin » equation
isgiven by
kb T
=L12
R/ a 2 03BE + ,
using
thefluctuation-dissipation
theorem[8].
The statisticalproperties
ofthe solutions of the
Langevin equation
are well known. ForL > §
+ ,
the RMSdisplacement
W(L) =
(g(L)2)1/2 is
where the diffusion constant D is
given by
Einstein’s law D= g + kb
T orThis result for
W(L)
for1 - Ic reproduces
equation
(3.13)
for1 = Ic.
Forlarge
L,
W(L)
isapparently independent
of I which is somewhatsurprising.
It is also known from the
theory
of theLangevin equation
that the correlation function ofdg’ /dx
isgiven by
The
« step
size » of the random walkW(L )
ocL1/2
is,
according
toequation (3.18),
thepersistence
length § +.
As discussed in theconclusion,
this is afairly
large
length-scale
awayfrom the « critical
point »
I =1 C.
We shouldexpect
the random walk behaviour to breakdown for
length
scales lessthen e’.
Finally,
note that since the sidewisedisplacement
W (L ) oc L l/2
is smallcompared
toL
(for
large
L)
thearc-length
scales as L in thelarge
L limit. Thesinusuosity
S (L )
thus should go to a constant forlarge
L.3.3 BROKEN SYMMETRY PHASE
(I >
Ic).
- In thisregime,
we know fromexperiment
thatthe
stream-path
makes anangle
with the direction ofsteepest
descent. We will thus look forsolutions to
equation
(3.5a)
consisting
ofdiagonal
sections of non-zero averageslope,
saywith the average fluctuation of the
slope,
(dg’/dx) ,
equal
to zero. To lowest order ing’,
equation (3.5a)
becomeswhere
and
where e(x, y)
has the same statisticalproperties
asE (x, y ).
Forequation
(3.20)
to bemeaningful, 03BE -
should bepositive eventhough
T 0.Equation (3.20)
for I >Ic
looks very similar toequation
(3.11)
for II,,.
There is however animportant
difference. A finite « DCbias »,
(03BE- )-1
dgo/dx,
has entered. If we would usethe
Langevin
method of thepreceding
subsection we would find thatg’
isalways
eitherincreasing
ordecreasing
with x. This is inconsistent with ouroriginal
assumption
that(dg’ /dx )
= 0.According
toperturbation theory,
there are thus no static solutions ofequation
(3.5a)
aboveIc.
If true, this would mean that we would have toidentify
Ic
with the upper critical current1 C2
for
dynamic instability.
It is however easy to see that we
actually
can construct static solutionsby
allowing
sharp
bends in the
stream-path.
Assume we have adiagonal
section oflength
L. Thetypical
value of the random term inequation
(3.20)
is then of order=+= t1/ (cr 03BE -).
For adiagonal
oflength
L,
the average value of the randomforce,
f (L ),
is of orderThis random term must exceed the DC bias
(03BE-1)-1
dgo/dx
in order for thediagonal
section to be stable. We conclude thatequation
(3.20)
can be satisfiedonly
fordiagonal
sections of alength
nogreater
then À(1 )
wheref (À (I ))
=(e-
)-1
dgo/dr
orWe now construct a
stream-path by joining
thediagonal
sections(see Fig. 1).
Each section has alength
L less then À with theslopes
of the sectionsalternating
between +dgo/dx.
Thesections are
joined
by sharp
bends. Let the curvature radius of such a bend bep o
(with
p o >R).
The total outwards force on the bend due to thecentrifugal
force is of orderp o (- t/po).
This force must becompensated
by
the line tension ? +T’ (dg /dxo )2
in the twodiagonals joined
at the bend(see Fig. 1).
Under
steady-state
conditions,
the total force on the bend must be zero.By
theprinciple
ofvirtual work we find
Comparing equations
(3.21)
and(3.24),
we see thatequation (3.21)
guarantees
thate’
ispositive.
For small T,equation (3.24)
reduces towhich satisfies our
requirement
thatdgo/dx
exceedscp
+. Thepersistence
length e -
and theNote
that e -
has apower-law dependence
differentfrom e ’
and thatdgo/dx,
unlike0+,
does not behave as the orderparameter
of a Landautheory. Like §+ , §-
does notdiverge
at1 C.
We have left an
important
question
unanswered. Thelargest
value of thelength
of thediagonal
sections isA (I ).
Yet,
we could as well constructzig-zag paths
of much shortersections,
i.e. of size R. We will discuss in the conclusionwhy
it seemslikely
thatA
(I )
indeed is the characteristiclength
scale of the meanders. Ingeneral,
there can be manypossible
streamtrajectories
above1 c
and we indeed shouldexpect
extensivehysteresis.
4.Upper
critical current.We have found that for I
greater
thanI c,
there are two characteristiclength
scales in theproblem :
the meander size À and thepersistence length e-.
AtIc, À is
infinite andç -
zero(or
ratherR).
Fromequation (3.26b)
we see that withincreasing
flow rateÀ
drops rapidly
(for
smallà)
while e -
increases with I(Eq. (3.26a)).
If Àdrops
to a value less thenR,
then ourzig-zag
constructionclearly
isunphysical.
One thus would guess thata
(Ic2 )
= R marks the threshold for thedynamic
instability.
This would howeverdisagree
withthe
experimental
observations : the characteristiclength
scale of the meanders does notshrink to R at
Icz.
In this section we willcompute
the actual value ofIc 2’
Thepredicted
relationbetween
1 c
and1 Cz
should
be animportant
test of the model.Assume that I is far
enough
aboveIc
for the condition RÀ «
to be valid. In that case,we could
neglect
(ç - 1)-
1dg’/dx
withrespect
tod2g’/dx2.
If we wanted tocompute
thescaling properties
ofg’ (x )
then we would in fact never be allowed toneglect
this termsince,
as we saw, italways
overwhelms the termd2g’/dx2
in thelarge
L limit.However,
the uppercritical current does not
depend
on thelarge
Lscaling
properties
as we shallshortly
see.Neglecting dg’ /dx
inequation (3.20)
gives
This
equation
has been studied in detail in a different context. A domain wall in a random-bondferromagnet
in the presence of anapplied
magnetic
fieldobeys
astability
conditions which has the same mathematical form asequation (4.1).
Therelationship
between the twoproblems
is as follows : the interfacial energy of themagnetic
domain wallcorresponds
to03BE - ,
theapplied magnetic
fieldcorresponds
todgo/dx
andê’ (r)
corresponds
to the randomness in theexchange
energy. We now candirectly
translate the known results from themagnetic analog
to ourproblem.
For
dgo/dx
= 0(i.e.
Ile)’
the transversedisplacement W(L)
of an« equilibrium » [9]
domain wall is known todepend
on L aswhere the
« roughening »
exponent
[10] C
= 2/3 and where theamplitude A
is[11]
These results are of course
only
valid up toL =-z e -
since forlarger
L we could notneglect
dg’ /dx.
We thusexpect
thatW (L )
ocL2J3
for L lessthen e
-For finite
dgo/dx
(i.e.I >
le)’
the random force canprevent
sliding
ifdgo/dx
is less thensome critical value. The
stream-path adjusts
itself to the local randomness to makeoptimal
-
use of the available
pinning strength
supplied
by
the random force inequation (4.1).
The DCIn the
magnetic analog,
this critical valuecorresponds
to the coercive field.Translating
the knownexpression
[12]
for the coercive field to ourproblem
leads to therequirement
thatdgo/dx
must be lessthen 0,(L)
whereSince ~Ce
(L )
increases withdecreasing
L,
the criticaldepinning strength
is dominatedby
theshort distance behaviour of
g’ (x ).
Thisjustifies a
posteriori
ourneglect
ofdg’ / dx
incomputing
Ie2.
The shortest allowed L is the valueLe
for whichW(Le) ==
R. Fromequation
(4.2)
it follows thator,
using
equation (4.3),
The
physical
meaning
ofLc
is that of aroughening length.
Thestream-path
is smooth onlength-scales
less thenL,
andrough
onlength-scales
greater
thenLc.
Obviously,
LC
must exceed thepersistence length e-.
The critical value for
depinning 0,(Lc) is
given by
Note that the
largest
allowed valueof 0 c corresponds
to the smallest value of03BE - .
Since e-
is of order R near1=IC,
thecritical 0,,
value is of order(4/ a
)4/3
nearIc.
Withincreasing
I, e -
increasesso Oc
decreases. At the sametime,
dgo/dx
increases with7
(Eq. (3.25)).
Whendgo/dx
exceeds Oc,
we lose the static solutions.The critical current
IC2
2
corresponds
to thepoint
dgo/dx
= Oc.
Fromequations
(3.25),
(3.26a)
and(4.6)
it follows thatFor this result to be
consistent,
we mustrequire
that thelength
k (I)
exceeds R at I =1 Cz.
Fromequations (3.26b)
and(4.7)
The
validity
condition forequation
(4.7)
is thenso the randomness cannot be too weak.
If the
opposite
case,A -- apqRlIc,
holds then we should use our earlier estimate À(12 )
= R. In that case it follows fromequation
(3.26b)
thatThe
theory
thuspredicts
that for very smooth and very cleansurfaces,
i.e. surfaces for which theinequality
ofequation (4.9)
does nothold,
the size of the meanders indeed are of the order of R at the onset of meandersliding,
as weguessed
earlier on. As we saw,roughness
5. Discussion and conclusion.
5.1 COMPARISON WITH EXPERIMENT. - How do the
predictions
of the model compare with theexperimental
results ? We found that below a critical currentIc
thestream-path
is a random walk. For lowI,
thestream-path
isrelatively straight
while nearIC
the side-wisewandering
becomes morepronounced.
We also found that above1C,
there is aregime
where we still havestationary
stream-paths
but wherethey
now exhibitzig-zag
patterns.
Theangle
of thezig-zags
goescontinuously
to zero atIC.
Withincreasing
I,
we reached a secondthreshold
I C2
such that aboveI C2
2 there are no static
stream-paths.
The existence of the intermediateregime
of staticmeandering
is due to the presence of theheight irregularities.
For a
perfectly
smooth substrate we found1 c
=Ic 2.
These results do appear to
qualitatively
reproduce
a number of the observations cited in the introduction. To make aquantitative comparison,
we will take a stream of water withp = 1
grlcm3,
q =10-2
cm2/s
and y = 70erg/cM2 .
For aslope
a =0.1,
the critical current7c
is of order0. 1 gr/s, using
equation (3.2).
Fromequation (3.3a),
it follows thatv is of order 10 cm/s and R of order 1 mm at
lC.
These values comparereasonably
withexperiment.
Starting
with the case of arough
substrate,
we could haveheight
irregularities
of order100 U
in which case theparameter
àla
would be of order 1. For L = 1 m,W(L)
is then oforder 1 cm
(Eq. (3.13)).
NearIc,
whereç+
goes to zero, one should see the random-walkbehaviour most
easily. Away
fromIc, ç+
is of order 10 cm(Eq. (3.9)).
To observe randomwalk behaviour below1 c
wouldrequire
that thesystem
size L islarge compared
to 10 cm. To find the upper critical current, we note that theinequality
equation
(4.9)
is satisfied for A = 0.1 so we should useequation
(4.7).
Theresulting
upper critical currentIc2
is
rather close toIc :
I,, 2/IC - 1 ---
0.06. Thelength
À of thediagonal
sections at1 = 1 C2 is
of order 1 cm(Eq. (4.8)).
The criticalangle oc
for thezig-zags
(Eq. (4.6))
is of order0.1.
For a smoother
substrate,
withA/a
of order10- 1,
the intermediatephase
has anegligible
range in I and the meander size at threshold should be of order 0.1 cm, while for very smooth
substrates,
with11/ a
less then10- 2,
the meanders at threshold have a size of orderR because the
inequality
equation (4.9)
is violated.The range of the intermediate
phase
with static meanders appears to be too smallcompared
withexperiment.
The mostlikely
source of theproblem
is theneglect by
the model of contactangle hysteresis.
The real contactangle
can deviate fromYoung’s
law and in fact varies between a maximum and a minimum value[13].
For a smallapplied
forcef,
a stream line canthen absorb the force
by
deforming
the stream cross-section[3].
On one side of the stream(leading edge),
the contactangle approaches
its maximum value and on the other side(trailing edge)
its minimum value. Ourstability
conditionf
= 0 for thestream-path
is thus not valid in the presence ofcontact-angle hysteresis.
One could
phenomenologically
includecontact-angle hysteresis through
a static friction term. Moreprecisely,
the absolute value off
must exceed a threshold forcef C
before it canmove the stream
profile.
The correctedequation
of motion would beHow about the lower critical current
1C1 ?
The lower critical current is related to theRayleigh
instability [14].
For I =0,
a semi-circularcylinder
of fluid is unstableagainst
droplet
formation as was shown
by
Plateau. If weinvestigate
thestability
ofequation
(2.7),
then theRayleigh
instability
is encountered for any finite I.Experimentally,
free-falling
streams ofwater are indeed
always
subject
to theinstability
[15].
For streamsflowing
down an inclinedplane,
theRayleigh
instability
isonly
seen for small inclinations and thenonly
for low volumeflow rates. The reason of this stabilization effect of the substrate must be that the total
dissipation
rateby
viscous loss of individualdroplets
rolling
down theplane
is in excess of thatof a continuous stream. A proper
stability
analysis
wouldrequire
us to gobeyond
the Poiseuilleapproximation.
Wesimply
assumedstability
on the basis of theexperimental
observations.
The use of the Poiseuille
approximation
could lead to otherproblems.
Experimentally,
some turbulence is observed
[4].
It is seen inparticular
if the flow rate issuddenly
increasedfor an
initially straight stream-path.
However,
meandersmaking
anangle
with the direction ofsteepest
descent have a reduced flow rate and thus a reducedReynolds
number.Although
turbulence islikely
to beimportant
fortime-dependent,
transientstream-paths,
we do notexpect
it to be a verysignificant
effect for stable meanders.5.2 DYNAMICS. - We did not address the formation
dynamics
of the meanders. Thedynamics
could however beimportant
inestablishing
thelength
scale of the meanders aboveIC.
Recall that in section II weonly
established anupperbound k
(1 )
for the size of themeanders. The observed meander size could be the one which dominates
during
thegrowth
stage
of the meanders. Since theregime
IIc 2is
hysteretic
the actual meander size may notbe a
unique.
If we use a linearstability analysis
in theequation
of motion(Eq. (2.16))
thenone finds that at
early
times,
the mostrapidly growing
modes have awavelength
of orderR,
the smallest allowed value. At later timeshowever,
theopposite happens :
thelargest
amplitude
mode has thelargest
allowedwavelength,
i.e.A (I ).
For this reason, we have assumed that À(1 )
is thetypical
size of a meander. The dominantstream-path
is then the onewith the minimum number of
sharp
bends.Another
important dynamical question
is thevelocity
V of thesliding
meanders aboveIC2.
Here anotheranalog
is of use. We need to solve thedynamic equation
of motionequation
(2.16).
Using
the sameapproximations
as in section3,
one arrives atThis
equation
has been studied for aspecial
class of randompotentials, namely
withF
periodic
in y(I.e. é(x, y )
=h (x )
cos(y - gi
(x ) )
with hand gi
random).
For this randompotential,
equation
(5.2)
can bemapped
onto theequation
of motion of aCharge
Density
Wave
(CDW).
Theposition g’
plays
the role of the CDWphase
and~ +
that of the DCelectrical field bias.
Within mean-field
theory
it can be shown[16]
that thesliding velocity
goes to zero as apowerlaw
in the DC bias. For thepresent
problem,
this means that weexpect
thatThe
exponent £
will be different from that of a mean-field CDW(e
=3/2)
because therandom
potential
is notperiodic in y
and because of corrections to mean-fieldtheory.
If theanalogy
is valid then thedepinning
atI C2
is a «dynamical
criticalphenomenon
» i. e. we shouldobserved
by
the author for I nearIC 2when
he tried toreproduce
theexperiments.
Afurther
discussion ofdynamical
critical transitions isgiven
in reference[16].
5.3 LANDAU THEORY REVISITED. - How well does the
simple
Landaudescription
of section 2.1 standup ?
The correlation function for the orderparameter 0
=dg /dx
showsexponential decay
for 7I C (Eq. (3.18)).
This agrees with a Landautheory
of thesymmetric
phase.
However,
for I >1C2
there is a severeproblem.
Thesymmetry y - - y
is notreally
broken. We were forced to introduce
sharp
bends which connect the two minima off (~ ).
In a Landautheory
suchobjects correspond
to domain walls -metastable defects of the broken
symmetry
phase.
In our case, an array ofsharp
bends isalways
present.They are
an intrinsic feature of the
regime
I >1 C.
Assume we
expand
thewinding stream-path
aboveIc
in a Fourier series. If the Fourieramplitudes
are dominatedby
a narrow range of wavevectors then we could consider theassociated
amplitude
as a moreappropriate
order-parameter.
In that case, the brokensymmetry
would be translation-invariance instead of mirror-reflection.Determining
whetheror not this would be the more
appropriate
description
woulddepend
on further numerical orexperimental
work. Theuncertainty concerning
the realorder-parameter
and the nature ofthe
regime
I >IC
raises thequestion
whether or not there is a truephase-transition
atIC.
It coult also be a crossover from arelatively straight stream-path
with small Fourieramplitudes
to a morewinding
one withlarger amplitudes.
Not that this issue does not affect the existence of thedepinning
transition at1 Cz.
Despite
thesequestions,
theanalogies
betweenstream-meandering
and interfaces in random media in condensed-matterproblems
areclearly
useful on thedescriptive
level. Towhat extent these
analogies
are alsoquantitatively
reliable forcomputing,
say,1 Cz is
aquestion
which must be addressedexperimentally.
References
[1]
The word meander derives from M~03B103BD03B403C1o03C3, the classical name for a river in presentday Turkey
which