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HAL Id: jpa-00211046

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Phase dynamics attractors in an extended cylindrical

convective layer

A. Pocheau

To cite this version:

(2)

2059

Phase

dynamics

attractors

in

an

extended

cylindrical

convective

layer

A. Pocheau

Laboratoire de Recherche en

Combustion,

Université de Provence, Centre de Saint Jérôme,

S 252, 13397 Marseille, France

(*)

(Reçu

le 20 mai

1988,

révisé le 13 novembre

1988, accepté

le 19 avril

1989)

Résumé. 2014 Nous étudions la

dynamique

de

phase

des structures convectives

après

extinction des

transitoires, en

géométrie

cylindrique

et à bas nombre de Prandtl. Nous observons de nombreux états

périodiques,

stationnaires ou

chaotiques.

Chacun d’eux est relatif à une fenêtre

spécifique

en nombre de

Rayleigh.

Les

régimes

périodiques

se différencient par des alternatives

simples

qui

portent sur le mouvement des défauts et que nous attribuons aux instabilités des écoulements moyens. L’identification de ces instabilités

d’après

les

équations

de Cross-Newell nous permet de reconstruire la route vers la turbulence.

Abstract. 2014 We

study

the

phase dynamics

of convective structures after the

decay

of transients, in

a

cylindrical

container and at low Prandtl number. We observe numerous

stationary, periodic

or

chaotic states. Each of them occurs at a

specific

window in

Rayleigh

number. The

periodic

regimes

differ

by simple

alternatives which concern defect motions and that we attribute to the

mean flow instabilities. The identification of these instabilities from the Cross-Newell

equations

enables us to reconstruct the route to turbulence.

J.

Phys.

France 50

(1989)

2059-2103 1er AOÛT 1989,

Classification

Physics

Abstracts 47.25 -

47.20

Introduction.

The

ergodic theory

of

dynamical

systems

has determined various scenarios of transition to

deterministic chaos

[1, 2].

These scenarios deal with the

dynamics

in the

vicinity

of the

phase

space attractors i.e. a

long

time after transients.

They

relate to the different ways

by

which a

limit

cycle

may destabilize

by

means other than an external noise and

they

involve few

effective modes.

Ample

experimental

evidence of these scenarios has been

obtained,

but

only

in

temporal

systems

i.e. when the

spatial degrees

of freedom are either frozen

by

a

spatial

quenching

or thermalized

by

a

spatial mixing

[3].

Accordingly,

a crucial

step

in the

study

of

dynamical

systems

would consist of

improving

the

understanding

of the mechanisms which

(3)

lead to chaos in

spatio-temporal

systems.

This purpose has motivated a

large

number of

studies,

both theoretical and

experimental,

which have not

yet

given

a clear answer

[4].

The usual

ergodic

theory

is based on a

geometrical study

of attractors in

phase

space. Within this

framework,

the modes of bifurcations may thus have a clear mathematical

meaning

but have no direct

physical

interpretation.

This lack of contact with the

physical

space is

likely

to increase the

difficulty

of

extending

the theories of

dynamical

systems

to

spatio-temporal

systems

and a

fortiori

to

fully-developed

turbulence. This statement has motivated us to

study

in detail a

spatio-temporal

convective

system

and to

understand,

both from an

experimental

and a theoretical

viewpoint,

how its

spatial

features interfere with its

dynamics.

In this paper, we

report

observations of the various

dynamics

which arise in a

cylindrical

convective

layer,

a

long

time after transients have

decayed.

The

periodic regimes

are related to limit

cycle

bifurcations which involve

specific

defect motions.

By

analysing

the

origin

of

gliding

motion,

we succeed in

identifying

the modes of bifurcations in terms of

global

instabilities of the

large

scale fields. The

computation

of these instabilities within the framework of the convective

pattern

theory finally

leads us to reconstruct the route to

turbulence.

The paper is divided into six sections. In the first

section,

we survey the main visual

observations of the transition to

time-dependence.

In the next three

sections,

we

report

our

observations of the route to turbulence with

emphasis

on the

length

of transients and on the

periodic regimes.

The last two sections are devoted to the

analytical

identification of the modes of bifurcation and to the reconstruction of the route to turbulence.

1. Transition to

time-dependence

at low Prandtl number.

Both

experiments

and numerical studies of

stability

show

that,

at Pr =

0.7, straight

rolls may

be stable and

stationary

up to e - =

1,5

[5-7],

where e =

(Ra -

Rac )/Rac

is the reduced

Rayleigh number,

Ra the

Rayleigh

number and Rac its value at the onset of convection.

Surprisingly,

in a

cylindrical container,

sustained

time-dependent

states arise at values of e as

small as 0.13

[8-11].

Such a

big

difference between onsets of

time-dependence,

as

large

as an

order of

magnitude depending

on the roll

pattern,

has been a

puzzling

and

stimulating

problem

for a

long

time. Some advances have been achieved

using

pattern

visualization. In

particular,

visual observations have

provided

a useful tool for

pointing

out the

strong

link

between

spatial

distortion and

time-dependence

[8].

We summarize below the main results. In argon gas

(Pr

=

0.7),

below the onset of

time-dependence,

instead of

perfectly straight

rolls,

a

slight

roll

bending

is noticeable in a

cylindrical

container

(Fig. la).

It results in two

opposite

centers of curvature of the

phase

field

(and

thus in two

opposite

foci

(1))

and in a

compression

of the central rolls. In the

stationary regime,

the same

stationary

but bent

pattern

is reached after

transients,

independent

of the initial condition. These

equilibrium

patterns

therefore

correspond

to attractors in

phase

space.

However,

as E

increases,

their

distortions

(bending

and

compression)

grow so

that,

at the onset of

time-dependence,

the

compression

becomes

incompatible

with local

equilibrium.

A roll

pinching

then occurs at the

(1)

Since

bending

is often weak, the centers of curvature are

usually

located outside the container.

The

phase

field therefore

displays

no

geometrical singularities.

However, its most curved

points

will prove to be

important

for the

dynamical

behavior. These

points

are at the boundaries, on the line

joining

the curvature centers.

They correspond

to an extremum of a

geometrical

property of the

phase

field over the container, but not over an open set around themselves. In

spite

of this restriction, we will

(4)

2061

a) t»

Fig.

1. -

a)

Stationary

slightly

bent roll pattern at e = 0.12. Notice the

opposite

foci and the

slight

but

important

roll

compression

at the center. We call these patterns « basic distorted patterns » and their distortions the basic distortions.

b)

A roll

pinching

of the most

compressed

rolls is

occurring

at the pattern center for 8 = 0.13. This is the basic mechanism

giving

rise to dislocation nucleation and then to

time-dependence.

center of the

container,

where the rolls are the shortest

(Fig.1b).

This

gives

rise to the nucleation of two dislocations. These defects then move towards the foci where

they

disappear,

thus

leading

to a defectless bent

pattern

again.

Since a roll

pair

has been

expelled

due to the elimination of the

defects,

the central rolls are less constrained. One

might

therefore

expect

that a

stationary

state could be reached. This is not the case however. The

foci feed the

pattern

with new rolls so that the

compression

increases

again

until a new

pinching

occurs :

time-dependence

is sustained.

Above the onset of

time-dependence,

the Nusselt number measurements reveal that the

dynamics

is

periodic

in a range of E

[8-11].

Visual observations also show that the

spatial

sequence described above is

repeated regularly

[9]

but we will see in section 4 that various

periodic regimes

may occur

depending

on the way defects move before elimination. The

pattern

state hence follows various limit

cycles

in

phase

space whose sequence

corresponds

to

the transition to turbulence. The

experimental

part

of this paper is devoted to

observing

these

cycles

[12].

Since,

due to the

large

extent of the

system,

spatial phenomena

are

expected

to

govern the

dynamics,

care will be taken of

accurately reporting

the

spatial

features.

In

steady

patterns

below the onset of

time-dependence

as well as in the defectless

phase

in

periodic regimes,

the main visible distortion

(two

opposite bendings

and a

compression)

is such that all similar

parts

of the

pattern

play

the same role. It thus

displays

reflection

symmetries

with

respect

to the foci line and to the central roll line

(Fig. la).

In the

following,

we will refer to these distortions as the « basic distortions » and to the

corresponding

patterns

as the « basic distorted

patterns

». Basic distortions will prove to include the main

mechanisms of

time-dependence

and will

provide

us with a useful framework for

analysing

the

(5)

2.

Expérimental procedure.

We

study

convection in argon gas and we use the

apparatus

described in

[9].

Convective

patterns

are visualized

by

shadowgraphy.

In order both to enhance the contrast of the

convective

picture

and to lower the

temperature

difference AT across the fluid

layer

at the onset of

convection,

the gas pressure P is increased to 40 bars. The fluid is heated from below

by

a resistive wire and cooled from above

by

a water circulation

surrounding

the upper

sapphire

plate.

In order to measure the heat

flux,

one must avoid radiative losses. This

condition is achieved

by surrounding

both the

heating

device and the cell

by

a thermal shield.

The shield

temperature

is

regulated

within

10- 3

K and the

temperature

of the inner device is

slaved to it within an accuracy of

10- 5

K. At the threshold of

convection,

the

temperature

difference AT is

4Tc

= 5.1 K.

Finally,

the

temperature

fluctuations are estimated at 0.005 °C.

The Prandtl number Pr of argon gas is Pr =

0.7,

nearly

independent

of the pressure

P.

When ATc

is

kept

constant,

the cell

depth d

varies with the pressure

according

to

d3

oc

P - 2.

The vertical diffusion time r, =

d 2/ rc ,

where K is the thermal

diffusivity,

is then

proportional

to

P - 1/3

and decreases with the pressure. This

property

enables us to lower the

already

short characteristic times of argon gas and thus to

study

the

pattern

behavior over

very

long

effective times. In this

experiment,

r, was reduced to 3.3 s.

The container is

cylindrical,

its

height

is d = 1.5 mm and its

aspect

ratio r is 7.66

(F

= ratio of radius Rd to

depth

d =

R).

The horizontal diffusion time

Th

= R2

Tv is 191 s

which is

comparatively

much shorter than in other

experiments [8,10,11,13,14].

As

reported

below,

the transient

length

may be as

long

as 500 Th. In the

present

case, this

corresponds

to a

day,

which is

long

but tractable. In other visual

experiments

however,

the

waiting

time would have been so

long

that the

vicinity

of attractors would

hardly

have been reached in real time.

During

the entire

experiment,

the

experimental

control

parameters

such as the

heating

power, the pressure and various

temperature

measurements or controls were scanned every

minute

by

a

computer

and recorded. This enabled us to

compute

the heat flux at each time

and thus to

provide

an accurate determination of the

global

dynamics.

The

experiment

aims at

scanning

the

dynamical

behavior of the

asymptotic

time

regime

over a

large

range of reduced

Rayleigh

numbers E

(0

e

1 ).

As the transients are

long,

it

would have been tedious to reach the

asymptotic

state at each

Rayleigh

number

starting

from

an

arbitrary

initial condition. This is

why

we started instead from the

asymptotic

state obtained at a

slightly

higher

Rayleigh

number,

by only slightly decreasing

Ra. More

precisely,

the

Rayleigh

number

continuously

decreases

during

the whole

experiment.

The rate is

sufficiently

slow

compared

to the

typical frequency

of the

pattern

dynamics

to ensure an

adiabatic drift of e and thus to avoid

spurious triggering

of

pattern

transitions. This slow and constant decrease of the control

parameter

was

easily

obtained

owing

to a very weak pressure

leak of the

pressurized

apparatus,

at a rate of 2 x

10- 2

bars per

day.

Since the

Rayleigh

number is

proportional

to

P 2,

the drift of e was about

10- 3

per

day.

Information on the slow

spatial

transformations of the

patterns

was

provided by

the

low-speed recording

of the

pattern

pictures.

3. Transient

regimes.

The transient

length

is

highly

sensitive to the initial conditions and may be

quite

large.

When

the evolution starts from a state close in

phase

space to an attractor, the transient is short

(

100 7h i.e. few

typical

periods

of the

dynamics).

This

happens,

for

instance,

when an

adiabatic decrease of E

triggers

a bifurcation of the limit

cycle,

the

asymptotic regime having

already

been reached. In such a case, since the basin of attraction remains

unchanged

and

(6)

2063

contrary,

when the initial state is turbulent or

displays

a

dynamics strongly

different from that of the attractor, transients prove to be much

longer

and

usually

last as

long

as

500 T h.

This

great

length

of transients raises the

difficulty

of

distinguishing

between chaos and transients. Each time a sustained

aperiodic

state was

encountered,

we

lengthened

the

observations over much

greater

times

(10 000 T h )

than the usual transient

length

(500 Th ).

Although

we cannot exclude the

possibility

of attractors

being

encountered at a much later

time,

this

procedure

enabled us to discriminate between

strong

attractors

(for

which transients last 500

T h)

and chaotic states or

perhaps

weak attractors. We

emphasize

that no

transient

longer

than 500 T h and smaller than 10 000 T h has ever been

observed,

even at the

boundaries of a chaotic window. This observation tends to

reject

the existence of weak attractors.

We recall

that, during

the observations at fixed

0394T,

the pressure leak causes a

slight

scan of

e. In the

periodic

regimes,

this control

parameter

drift proves to be adiabatic

compared

to the

dynamics.

Accordingly,

it is

likely

to have no effect on the

pattern

behavior,

unless it induces

the

changing

of an attractor. If so,

spurious

chaotic evolutions

might

be

triggered,

for instance in the event of a short window of e

containing

many different attractors, as in a cascade.

Spurious

chaos may also arise if some transients much

longer

than usual are encountered.

These

possibilities

cannot be excluded as causes for chaotic

dynamics. However,

since our

observations

show,

as described

further,

that the

wandering

of the

pattern

is

likely

to be linked to the occurrence of

strong

defect

interaction,

we

expect

that its

origin

is intrinsic. In addition to

long

transients,

long

main

periods

have also been observed. Both the transients and the main

periods

lasted times of several

T Th

to several

r2 Th.

This observation

supports

the conclusions of Cross and Newell

according

to which the earliest time to reach

equilibrium

should scale like

rTh

[15].

This time may even be as

large

as

T 2 Th.

For

instance,

in one

periodic

state

(the

regime

4),

the slow relaxation of a defectless bent

pattern

resulted in defect nucleations after times as

long

as 3

T 2

Th. This statement shows that a

slowing

down of the

dynamics,

even on several Th’ cannot be a criterion of

stationarity.

It also indicates that

experimental

studies of

pattern

dynamics

in

large

aspect

ratio cells must involve at least several hundred Th of

waiting

time in order to

get

beyond

transients. This leads us to

question

the existence of

time-dependence

in the

vicinity

of the onset of convection at moderate Prandtl

number,

as stated in two

experimental

studies

[13, 14] :

in one of these

studies,

the

waiting

time was

only

40 T h

(Le. =

3

rTh

since r =

14.0)

[13] ;

in the other one, it was

significantly larger

(200

T h Le.

0.9 r2 Th

since r =

15.0)

[14]

but the

patterns

seemed to

display

a forced rotation. It therefore would be worth

ensuring

that these

time-dependences

were indeed related to a non transient and intrinsic behavior.

4.

Long

time

dynamics

of the

pattern.

In this

section,

we

report

observations of the

pattern

dynamics

above the onset of

time-dependence,

a

long

time after the

decay

of transients

[12].

Although

the pressure leak caused

a decrease of e, we will

describe,

for the sake of

simplicity,

the observations for

increasing

e.

Many

windows of e were

found,

each of which

corresponds

to a definite

dynamics.

They

are

sketched in

figure

2. The onset of

time-dependence

is at Eo = 0.126. Below eo,

stationary

basic distorted

patterns

are

displayed.

In the range 0.126 : 8

0.175,

five different

periodic

states occur. For 0.175 E

0.346,

the behavior is chaotic

but,

for

slightly higher

8, the

pattern

restabilizes towards

simpler dynamics :

a

stationary

state in the range

0.346 e

0.37,

a

high frequency

periodic

state for 0.37 e 0.45 and a new

stationary

(7)

Fig.

2. - Sketch of the route to turbulence : S means

stationary regime

and P

periodic

regime.

.

these

spatio-temporal regimes

have

proved

to be

reproducible

and

independent

of the initial condition :

starting

from either a

conductive,

a

turbulent,

a

stationary,

or a

periodic

state, the

asymptotic regime

has

always

been the same for a

given

E.

Since the

experiment

is

performed

at fixed

OT,

the heat flux

displays

fluctuations in order

to maintain AT constant. For

instance,

it increases when defects are

present.

It is

independent

of their

number,

however. The heat flux variations thus

provide

a useful way to detect the various

phases

of the

dynamics

but not to count the number of defects. In the

recordings

reported

next, since the heat flux fluctuations are

only

3 x

10- 3

of the

signal amplitude,

we

present

them on a relative scale which is

arbitrary

and linear.

4.1 FIVE CLOSE PERIODIC STATES. - In the

periodic regimes,

the main

spatial

pattern

evolution is as follows : in the defectless

phase,

patterns

look like basic distorted

patterns

(Fig. la) ;

dislocations then nucleate in the center of the container and

glide

towards the foci where

they disappear

(Fig.1b).

Nevertheless,

differences appear in the way the dislocations

move in the convective field. The defects

glide

either to the same focus or not, either

simultaneously

or not, either

quickly

or much more

slowly.

In order to describe in a

simple

and fruitful way all the various combinations that have

arisen,

it is useful to introduce the

following

codification for the dislocation motion :

The

pattern

is seen from above. We call the line

joining

the foci the y axis and its normal the x axis. Due to a

slight inhomogeneity

in the

experiment, the y

axis reaches

nearly

the same

direction in the

laboratory

frame,

regardless

of the initial condition. This

property

enables us

to define the axis orientation in a common way for all the various

periodic regimes.

Our

codification is then based on this axis orientation. It is sketched in

figures

3a and 3b.

We call

Dl

(resp. D2)

the dislocation which climbs the x axis towards the x > 0

(resp.

x

0)

domain. When the dislocation

Di

glides

towards the y > 0

(resp. y

0)

domain,

we call it

D{ (resp. Dl ).

As an

example,

the situation

corresponding

to

Dl

D2

is sketched in the

figure

3b. The defect nucleation is

designated

N and the defect elimination E. The same

codification also

applies

to the

grain

boundaries

generated by

dislocations,

which are written

GB.

The five

periodic regimes

are listed in table I and their most

representative phases

are

(8)

2065

Fig.

3. - Codification for dislocation

gliding.

a)

The codification

specifies

the four

gliding

domains.

b)

Sketch of the pattern in the

regime

corresponding

to

Di

D2 .

Table 1. -

Listing

of

the

five

periodic regimes.

4.1.1

Regime

1 : 0.125 s 0.136. -

This range of e contains the first

dynamics

encountered as the control

parameter

is increased. It is

periodic but, surprisingly,

its

period

includes three basic

cycles

of roll

pinchings

and defect eliminations. In each

cycle,

both dislocations start

gliding

as soon as

they

reach the sidewalls.

However,

the dislocation

D2

moves

quickly

towards a focus and

disappears, while,

on the

contrary,

the dislocation

Dl gives

rise to a

grain boundary

at the sidewalls

(Fig. 5a).

This

grain boundary

then

glides

towards the focus towards which

Dl

started to

glide

and

finally disappears.

The

cycles

differ

by

the

gliding

direction of both dislocations. The same evolution is found

again only

after

three different consecutive

cycles

have occurred.

(9)

Fig.

4. - Sketch of the

most

representative

spatial phases

of

regimes

2 to 5.

a)

In

regime

2, both dislocations

glide

towards the same focus and

simultaneously.

b)

In

regime

3,

they glide

towards the

same focus but at different times.

c)

In

regime

4,

they

glide

towards

opposite

foci and at different times.

d)

In

regime

5, the pattern alternates rotations in either of the two directions, the dislocation

D2 being trapped

towards either of the two foci

respectively.

y > 0

(D- Dl

and the

GBï).

Finally,

in the last

cycle, Dl glides

towards

y > 0

and

D2 towards y

0

(D’ D-

and then

GBi ).

The

cycle

which follows next is similar to the first

one. The

periodic regime

thus

corresponds

to :

Due to the

strong

perturbation produced by

the

grain boundaries,

the

pattern

orientation

changes slightly

at each

cycle.

It decreases

nearly

ten

degrees

between the third and the first

cycles

and

only

two or three

degrees

between the first and the second

cycle.

The

cycle lengths

remain

quite

constant but each kind of

cycle

has its own

length :

the first one lasts 6.7 Th, the second 9.8 ’rh, and the third 8.9 Th. (Fhe

slight spatial

differences of the three

cycles

thus also

give

rise to

temporal

shifts. These shifts are noticeable in the heat flux measurements

(Fig. 5b).

In

phase

space, since one

period

of the

pattern

evolution contains three basic

cycles

of defect nucleations and

eliminations,

a

period

tripling

of the fundamental

periodic

behavior

is involved.

At the lowest

boundary

of this window of e, the

dislocations,

rather than

gliding

towards a

focus,

remain

trapped

at the

sidewall,

near the x axis.

They

then become a nucleus for a third

(10)

2067

Fig.

5. - Periodic

regime

1.

a)

The dislocation

Dl

has induced the

generation

of a

grain

boundary.

b)

Heat flux

recording displaying high

values when dislocations are present. The

periods

are shorter

(11)

Fig.

6. -

Transient

regimes

towards a

stationary

basic distorted pattern.

a)

A dislocation

Dl

has been

trapped.

The interaction with the second dislocation will induce a third focus.

b)

The pattern

dynamics

is

governed by

the interaction between the three foci.

but

they

are no

longer synchronized. Nevertheless,

this

apparently

chaotic

regime

proves to

be

only

a transient which

decays

towards the

previous stationary

basic distorted

patterns.

4.1.2

Regime

2 : 0.136 e 0.143. - Both dislocations

glide simultaneously

towards the y > 0 domain

(Figs.

7a and

4a)

and then

disappear

at the foci within 1.5 Th. This

corresponds

Fig.

7. - Periodic

regime

2.

a)

Both dislocations

glide

towards the same focus

(Di Di ). b)

Heat flux

(12)

2069

(13)

to the sequence : N ==>

D 1 D2

E. Unlike the

previous regime,

a

periode

involves

only

one

cycle

of defect nucleation and elimination. Its

length

is stable to within an accuracy of one

percent

for two consecutive

cycles,

but it decreases from 33.0 Th at E = 0.143 to

18.5 ïh

at e = 0.136. The

periodic

variations of the heat flux are drawn in

figure

7b for

E = 0.138. Its Fourier power

spectrum

in

figure

7c

displays

monoperiodic

features and

sharp

peaks.

In

particular,

the Fourier

amplitude

is small for

vanishing

frequencies.

4.1.3

Regime

3 : 0.143 «-- e « 0.149. - The dislocation motions

are the same as in the

previous regime

except

that the

gliding

motions are not simultaneous. The dislocation

Dl glides immediately

after

climbing

while

D2

stays

on the x axis close to the sidewall

(Fig. 4b).

A short time after

Dl

has

disappeared

from the convective

domain,

D2

starts

gliding

again

(Dr)

and is

finally

eliminated at the focus.

Compared

to the

previous regime,

the

motions are

only

shifted in time. The

cycle

may be

symbolized by

The dislocation

D2

remains 4.7 Th in the convective field and the

period

of the

cycle

decreases from 48.5 Th at E = 0.149 to 41.5 Th at E = 0.143. The heat flux

recordings

reproduce

well the

periodic

features

(Fig. 8a)

and

give

rise in the power

spectrum

to

sharp

peaks

and several harmonics of the fundamental

frequency

(Fig. 8b).

The level of coherence of the

periodic

behavior is

high mainly

because the

period

remains

nearly

constant over the

whole window.

By

comparison,

since the

period

decreased more

quickly

in the

previous

regime,

the power

spectrum

was less

sharp.

4.1.4

Regime

4 : 0.149 E 0.154. - Unlike both the

previous

regimes,

the dislocations

glide

in

opposite

directions,

Dl

towards the y > 0 domain

(Di )

and

D2

towards the

y 0 one

(D2 )

(Fig. 4c).

Both dislocations start

gliding

simultaneously,

but

D2

pauses after

having

glided only

the width of one roll

(Fig. 9a).

It

begins

to

glide again nearly

34 Th later and

finally disappears.

The

cycle

may be

symbolized by

N =>

D1

D2

D2 =>

E. Its

period

is

quite

long : nearly

150 Th. Without such a

long wait,

this

dynamical regime

would

have been mistaken for a

stationary

state.

The

period

decreases

slightly

with e: it goes from 157 Th at e = 0.154 to 145 Th at

E = 0.149. The different

phases

of the

cycle

may be

distinguished

in the heat flux

measurements

(Fig. 9b).

Because of the

length

of the

period,

fewer

cycles

than in the other

regimes

have been scanned. The power

spectrum

is thus less accurate but it does

display

the

fundamental

frequency

and two harmonics.

4.1.5

Regime

5 : 0.154 E 0.175. - This

regime’s major original

feature is a

global

rotation

alternating

between the counterclockwise direction

(symbolised

by

R+ )

and the

clockwise direction

(R- ).

A similar

global

pattern

rotation has also been observed in

numerical simulation

[21].

In both the R+ and R-

cycle,

the dislocation motions are the same,

except

that the

gliding

directions are

opposite.

Both dislocations start

gliding simultaneously

to

opposite

directions. The dislocation

Dl

travels

quickly

to the focus

(within

few

T-h)

and

disappears,

while

D2

stops

after

having

glided

only

the width of one roll. The whole

structure continues to rotate

(Fig. 4d)

and the dislocation

D2

starts

gliding

again

when the

angle

of rotation reaches

nearly

90°

(Figs. 10a

and

c).

Finally

D2 disappears

at the focus. In the R-

cycle

(Figs. 10a

and

4d), Dl

glides

towards

the y >

0 domain

(Dl

D2 )

so that the

cycle

is

symbolized

by

R- =:> N ==>

D 1

D2

+ R- =>

D2

+ R- => E.

In the R+

cycle

(Figs. 10c

and

4d),

Dl

glides

towards

the y

0 domain

(D- D+ )

so that the

(14)

2071

Fig.

8. - Periodic

regime

3.

a)

Heat flux

recording.

b)

Heat flux

spectral

power

displaying

(15)

Fig.

9. - Periodic

regime

4.

a)

The dislocation

Dl

has

already glided

towards the

y > 0

domain

(16)

2073

In the next

stage,

the R-

regime

is

again displayed.

The whole

pattern

thus alternates between clockwise and counterclockwise rotation. The

period

of this evolution is twice that of the fundamental

periodic

behavior. This

corresponds

to a

period

doubling.

In each

cycle,

the

length

of the

phase displaying

defects is constant with 8. In contrast, the

relaxation

phases

of the defectless

pattern

last somewhat

longer

as E increases.

Although

the

spatial

features of both kinds of

cycles

look

similar,

their

dynamics

are

slightly

different,

however. We illustrate this

by analysing

them at e = 0.16. In the first

cycle

(R- ),

the

relaxation of the defectless

pattern

towards a new

pinching

lasts 19.2 Th while the rotation

phase

with the

trapped

defect lasts 42.3 Th. Its whole

length

is therefore 61.5 Th.

Comparatively,

the relaxation

phase

of the second

cycle

(R+ )

towards

pinching

last 7.7 Th and the rotation with defect lasts 30.7 Th. Its

total length,

38.4

’rh, is

thus smaller than that of the first

cycle.

The

dynamical

differences between

cycles

is recovered in the heat flux measurements

(Fig. 10e).

Period two is noticeable both in the

phase

displaying

defects

(high

heat flux

values)

and in the defectless

phase

(low

heat flux

values).

The power

spectrum

exhibits

sharp peaks

which illustrate the

high dynamical

coherence

(Fig.10f).

The most

important peak

occurs at

the mean

cycle frequency

(nearly

50

Th).

It is followed

by

three noticeable harmonics. The

dynamical

difference between the

cycles gives

rise to the other

peaks

which indicate the

occurrence of

period doubling.

Since

period

doubling

has occurred in this

window,

one may wonder whether an iteration of this

phenomenon,

i.e. a subharmonic

cascad,

exists.

Looking carefully

at the upper limit of

the

present

window,

we did not find any evidence of it.

However,

one cannot rule out its

existence,

either because its range in e

might

have been too narrow to be detected or because

the external noise in E

produced

by

the thermal

regulations might

have

suppressed

it.

4.2 A CHAOTIC REGIME : 0.175 8 0.346. - This window is

so

large

that a continuous scan of 6 at the rate

provided by

the

present

pressure drift would have lasted at least several months. We have then

only

performed

observations at various values of E. The observations

lasted 10 000 Th each and all showed chaotic

dynamics.

As in the

periodic regimes,

the

mechanisms of

time-dependence

involve roll

pinchings.

However,

the dislocations do not

disappear

easily.

When

they

are

trapped

at the

sidewalls, they

enable a new focus or a range

of disinclinations to be

generated

and to grow, as additional defects appear

(Fig.11a).

Moreover,

grain

boundaries sometimes arise and move over the whole convective field

making

the various foci grow or

decay

(Fig. llb).

Accordingly,

in the chaotic states, no mean

spatial

structure can be defined over a

long

time.

The erratic behavior of the convective flows is

apparent

in the heat flux

recordings

(Fig. llc)

and is also found in local

optical

measurements of the roll motion at any

place

of the convective field. The chaotic

dynamics

is not

homogeneous

in the

phase

space however. When the

spatial

structure is close to the

stationary

patterns

which will be encountered next,

at

higher

e, the characteristic

frequency

of the

phase dynamics

decreases

greatly.

The

pattern

state then looks

quasi-stationary.

This means that the

pattern

already

« senses » that some

phase

space domains will

become,

at

slightly larger

e, the basins of attraction of some

point

attractors.

Moreover,

some

nearly periodic

sequences of roll

pinching

at the

pattern

center,

similar to the

previous periodic regimes,

sometimes occur, when two

diametrically

opposite

foci

predominate (Fig. lld).

Since the mean structure is

continually

changing,

these

regimes

remain

only

for several

periods,

however. These features are reminiscent of

intermittency.

Is this behavior an indication that the

dynamics

is

actually

a

tremendously

long

transient towards

a

stationary

or a

periodic

state ?

Although

we cannot rule this

possibility

out, we

emphasize

(17)

Fig.

10. - Periodic

regime

5. Similar states of

neighbouring cycles

in the rotation

regime.

This shows

by

comparison

the

global

pattern rotation. We notice that the

large

scale pattern distortion

changes

at each

cycle,

while the dislocation of the latter

figures keeps

the same

place.

This distortion can not then be

produced by

the dislocation and we attribute it to the intrinsic asymmetry 2. This asymmetry is sketched in

figures

lOb and d and is in agreement with

figures

10a and c

respectively.

a)

The pattern state

just

before

the dislocation

D-

starts

gliding

again.

The pattern is

rotating

in the clockwise direction

(R- ). Notice

the tilt of the line

joining

the

points

where the curvature is a maximum

(previously

the y

axis).

Notice also the asymmetry of the

phase

curvature, in agreement with

figure

lOb

>

0).

The rotation R- is thus linked with a

perturbation

cp = 03B4x with 5 > 0, in agreement with our derivation.

b)

Isophases

of the

phase

field cp =

ko y (1 -

ax 2/R 2)

+ 03B4x with 5 > 0. The curvature is

greater in the

xy 0 domains than in the xy > 0 domains. Notice the agreement with

figure

10a.

c)

The pattern state

just

before the dislocation

D’

starts

gliding again.

The pattern is

rotating

in the counterclockwise direction

(R+ ).

Notice the tilt of the line

joining

the

points

where the curvature is a maximum

(previously

the y

axis).

This tilt is

opposite

to that of

figure

10a

(R- ).

Notice also the asymmetry of the

phase

curvature, in agreement with

figure

10d

(03B4 0 ).

The rotation R+ is thus linked with a

perturbation

cp = 8x with 8

0,

in agreement with our derivation.

d)

Isophases

of the

phase

field

cp

= ko y (1 -

ax2/R2)

+ 03B4x with 8 0. The curvature is greater in the xy > 0 domains than in the

xy 0 domains. Notice the agreement with

figure

10c. Heat flux

recording

e)

and its

spectral

power

f).

e)

Notice the

dynamical

differences between the two types of

cycles.

f)

Notice the most

important peak

(18)

2075

(19)

Fig.

11. - Chaotic

regime.

a)

A third focus has been

generated by

dislocation interactions similar to

those of

figure

6a.

b)

Three foci

displaying

a

grain boundary.

c)

Heat flux

recording displaying

erratic

(20)

2077

Fig.

11

(continued).

described

theoretically

as almost attractors

[1]

and confused in

practice

with chaotic evolutions.

4.3 STATIONARY AND PERIODIC STATES BEYOND CHAOS. - For 0.346

E

0.37,

a

stationary

state is observed

(Fig. 12).

Instead of a continuous scan, the value of e was

changed

abruptly by

suddenly varying

the

temperature

difference AT. This did not break the

stationarity.

The whole observation lasted about 3 000 Th i. e. six times

longer

than the

longest

transient. The

pattern

displays

two

diametrically opposite foci,

as in the basic

distortion,

but

Fig.

12. -

(21)

in addition two dislocations are

trapped

on the x axis near the sidewalls. In the

present

range of e, these defects are in

equilibrium

with

respect

to

gliding.

This state therefore

corresponds

to a

locking

of the

periodic

evolution

by

the defects.

For 0.37 e

0.45,

a

periodic

state occurs. Its

spatial

features are different from those of

the

previous

limit

cycles.

The

pattern

is

composed

of two

diametrically

opposite

foci,

but one

of them has a short

grain

boundary.

Defect nucleation still occurs

by

roll

pinching

at the

pattern

center but both dislocations

glide

towards the defectless focus and leave the remainder of the

pattern

undisturbed and

quasi stationary

(Fig. 13a).

The

period

is

quite

constant

(Fig. 13b)

but

surprisingly

short : 4 mm i.e. 1.25 Th

(Fig. 13c).

This

frequency

is so

high

that a new dislocation

pair

is

generated only

a short time after the

previous pair

has

disappeared.

Nevertheless,

in this

high

frequency

state, since a

single pair

of

moving

dislocations is

present

at a

time,

the defect interactions are weak and a mean structure exists.

For 0.45 a

0.657,

a new

stationary regime

is found. It was observed

during

more than

10 000 Th. Two

slightly

different

spatial

structures were

displayed depending

on the initial

conditions

(Figs. 14a

and

14b).

This shows that several

point

attractors may coexist in the

phase

space. In both of these

patterns,

nearly straight

rolls are

present

in the

bulk,

and short

foci,

dislocations and

grain

boundaries exist at the sidewalls. These defects enable the

structure to

satisfy

the

phase boundary

condition at the sidewalls which

requires

that the rolls end

perpendicularly

to them.

At

higher

but still moderate Prandtl number

(2

Pr

10 )

and in a

cylindrical container,

stationary

states may be reached up to

high

values of e

(E S 3.5) [13, 14].

They

often bear

strong

similarities with the former

stationary

patterns

observed in our

experiment.

For

instance,

the

stationary

pattern

displayed

in the range 0.346 e 0.370 looks very much like

that which arises at e = 0.70 in the

experiment

of Heutmaker and Gollub

(Pr

=

2.5) [13],

Fig.

13. - Periodic state for 0.37

e 0.45.

a)

Notice the two dominant foci and the

grain boundary

on one of them. Roll

pinchings

occur at thé pattern center and both dislocations

glide

towards the y 0 focus. A

single

dislocation

D2

is still visible. The

spatial

features are close to those of the

previous

periodic

regimes. b)

Heat flux power spectrum. Notice the

high

level of coherence of this state in

spite

of the

large

distance from the onset of

time-dependence. c)

Heat flux

recording.

Notice the

high

(22)

2079

(23)

Fig.

14. -

Stationary

states for 0.45 E 0.657. Notice that in each pattern

(a

and

b)

the bulk is made of

nearly straight

rolls, i.e. a

stationary

structure which

gives

rise to no mean flows. The

equilibrium

is thus

mainly

related to that of the defects. Notice the greater pattern symmetry

displayed

in

b)

compared

to

a).

while the

pseudo-stationary

patterns

observed

by

Steinberg et

al. in water

(Pr

=

6.1 ) [14]

are

quite

similar to those reached in the range 0.45 e 0.657. This

agreement

indicates that the

stationary

structures observed

beyond

the onset of

time-dependence

are not related to a

particular

value of the

aspect

ratio or to some other feature of our

experiment

but are indeed

robust solutions of the

phase dynamics.

4.4 THE THRESHOLD OF TURBULENCE : e = 0.657. -

Beyond

the

previous stationary

regime,

no

periodic dynamics

was ever found. Chaotic behavior was

displayed,

whose

features are similar to those of the

previous

chaotic

regime.

No evidence of any other kind of

dynamical

behavior was noticed up to e = 1.

4.5 CONCLUSION. - In this extended

cylindrical

convective

layer,

several different

dynamics

are encountered a

long

time after transients. Each of them is

robust,

reproducible

and is

observed in a definite window of the control

parameter

e. These results are reminiscent of those obtained in

liquid

helium at the same Prandtl number

[11],

but here the

spatial

features

are identified. In

particular, although complex spatial

features are

involved,

the route to

turbulence exhibits few effective

dynamical

modes and low dimensional non chaotic

attractors.

Though

a window of chaotic

dynamics

occurs in the range 0.175 « s

0.346,

the threshold

of turbulence i.e. the value of e above which the

dynamics

is

always

chaotic,

is at

e = 0.657. The transition to turbulence

(0.126

e

0.657 )

thus takes

place

over a range of 6

that is

nearly

5 times

greater

than the range over which the transition to

time-dependence

occurs

(0 e

0.126 ).

Since an adiabatic decrease of E leads to short transients between the

periodic

states, and since these states

display

similar

spatial features,

one may

expect

that

they

result from the

successive bifurcations of the same state. This statement leads us to look for an identification

(24)

2081

to this work. In the first one, we address the

physical

mechanisms which

give

rise to

time-dependence

with

emphasis

on an

analytical

solution valid for basic distortions. In the second

section,

we

perform

a

stability analysis

of this solution and we show that its modes of

instability

lead to bifurcations from basic distorted

patterns

to various

time-periodic

states.

This

stability analysis finally

enables us to reconstruct the route to turbulence with

good

qualitative

and

quantitative

agreement.

5. Phase

dynamics

within a

coupling

with mean flows.

We summarize the main features of

phase dynamics

when

coupled

with mean flows and we

focus on an

analytical

solution which describes

stationary

basic

distortions,

their

destabili-zation,

and some

important

features of the

previous

limit

cycles.

This enables us to

legitimize

quantitatively

a criterion for

periodicity

or chaos and to address in the next section the limit

cycle

destabilization.

5.1 INTRINSIC AND NON-LOCAL NATURE OF THE DYNAMICS. - We claim that the

phase

dynamics

observed in this

experiment

can

only

be intrinsic. In

particular,

since rolls are

quite

large compared

to the

typical

scale of the thermal

fluctuations,

the external thermal noise is unable to

modify

the convective motions. In

addition,

when

spurious phenomena

such as cell

rotation,

depth

ramp or external mean flows have been

avoided,

the

phase dynamics

is in

principle

derivable from the

Boussinesq equations.

This is

supported by

the fact that the transition to

time-dependence

is

strongly

related to an intrinsic

parameter

(the

Prandtl

number)

and has been recovered both

by

numerical simulations and

by

an

analytical

derivation of intrinsic models of convection

[18,

20,

21].

As one focuses on finer and finer features of the

phase dynamics,

however,

one may wonder to what extent external disturbances may be

neglected.

In our

experiment,

these disturbances would lead to

forcings

independent

of the convective threshold and thus to

regimes

robust in a

large

range of E,

contrary

to our observations.

Accordingly, though

external effects may be

present,

we

attribute the various

changing

of

regimes

in a narrow range of e to intrinsic

phenomena,

at

least for the

greater part.

Experiments

have demonstrated that

large

scale distortion of a roll

pattern

is a

quite

dangerous

mode of convection

capable

of

decreasing

the threshold of

time-dependence by

at

least an order of

magnitude.

This « overdestabilization » can be related to the mean flows

which are

produced by

pattern

distortions

[16, 17].

The

amplitude

of these flows is

negligible

compared

to the roll flows but their

spatial

scale is

large compared

to the roll size. The latter feature

produces non-locality

which is

responsible

for the overdestabilization

[12].

Mean flows in convection involve non-local

phenomena

for two rather different reasons. At

first,

since

they satisfy

the mass

conservation,

local distortion can

produce

mean flows over

large

distances

[16],

so that the link between distortions and the mean flows that

they produce

is nonlocal.

Secondly,

since mean flows

spread

among many

rolls,

their effect on roll

patterns

involves a collective feature : a

large

scale distortion

[17].

The link between mean flows and

the distortions that

they produce

is thus also nonlocal. We

emphasize

that this

possibility

of

acting

over

large

distances

explain why

mean flows

produce huge

effects in

spite

of their low

amplitude :

the weakness of the local actions is counterbalanced

by

their accumulation from roll to roll

[18].

5.2 A SOLUTION FOR THE BASIC DISTORTION. - Because distortion and mean flows

generate

each

other,

the

phase

field

describing

the roll

pattern

and the mean flow field are

coupled

in a

non-local way. The

coupled equations describing

this interaction have been

put

in a

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