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Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

-(bd 2vg')

=

O.

ds

(2.48) (2.49) This is the final form of the conservation equations; the variables u, v, w, band g' are now

consider~d as functions of the arclength s(x). Before making any assumptions about the nature of the entrainment into the jet, the immediate implications of the above conservation equations will be examined.

Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

Hence using the fact that

v = uJ1 + J2,

all the variables in the problem can be expressed in terms of the gradient,

f

and its derivative

f' =

df/ds

,A2BO v(s)

=

Mof"

,A2BO

u ( s) - -:-:--::-:-r=====::;;:

- Mof'J1

+ J2'

and

,A2Bo

f

w(s) - , : = = -- Mo

f' J1 + J2'

ds

,---,,,,--dx

= V1 + J2.

(2.55)

Each of the two hypotheses will now be used in turn to derive an equation in

f

and conse-quently solve the problem.

2.4.3 Hypothesis 1: The radius is proportional to the arclength

In this section the effect of making the first of the two hypotheses, namely that the radius of the jet varies linearly with the arclength

b

=

ks, (2.56)

will be examined. As stated above this is based on experiments on horizontal buoyant jets presented by Schatzmann (1976) and the author (see figure 1 - experimental details given in section 4), and also experiments and theoretical analysis on vertical jets and plumes by Morton, Taylor & Turner (1956), Morton (1959) and Kotsovinos & List (1977). In order that the initial behaviour matches that of a pure jet (see equations (2.20)), it is assumed that the constant of proportionality k

=

20!j.

Equations (2.50) and (2.51) may be rewritten as

where ToT Mo

.l~

=

k2 ' (2.57)

and

where (2.58)

Thus, substituting for b(s) in (2.55) above gives

Id

I

s

= J

f' (1

+

f2):r , (2.59)

which is the equation for the gradient

f.

Using ds/ dx

= J1 + J2,

equation (2.59) may be written in the the alterna.tive form

d2 f f ( df ) 2 J f2

~

- -

dx2 - 2(1

+ J2) -

dx

+-1+ Id ( )

4

.

(2.60)

Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

It is convenient to non-dimensionalise the variables, scaling lengths [1] and time [T] with

3

[L]

= J(~

[L *]

J2 [T]

=

J( [T*].

J (2.61)

and

The problem then reduces to

U*V*s*2

=

1, 1* * *2 1

gvs =).2' b*

=

ks*

with

df 1 s*

- - - - 1 ·

ds* v* (1

+

j2)"4 (2.62)

Note also that Mo

=

k2 and

Bo =

k2 /).2. Use of (2.57) and (2.58) above reveals that this length scaling is proportional to the 'jet-length' defined in section 1 above with

(2.63)

The numerical solution to equation (2.62) will be discussed in section 3, but it is possible to obtain approximate solutions in the limits of small and large

f.

Small values of tlIe gradient,

f

The scaled version of (2.60) takes the form

.. fP

2 ;J.

f =

2( 1

+

j2)

+

(1

+ f )

4 , (2.64)

where the dot denotes differentiation with respect to x*. For small

f, j

~ 1 and so

f

~ x*2/2.

This approximation ma.y be made more accurate by searching for a series solution of the form

(2.65)

Substituting this into (2.64), expanding the powers of (1

+

f2) binomially, requires that all but the powers of x*4 have zero coefficient. The solution is

(2.66)

-

63-Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

and integrating with respect to x* gives the centreline trajectory

*( *) X*3 ( 1 *4 49 *8 )

z x = - 1

+

- x - x

+. .. .

6 80 1267200 (2.67)

This means that the initial trajectory follows a cubic course, which agrees with the result of Chan &, Kennedy (1975) in their analysis of the momentum dominated part of the flow.

A similar procedure may be applied to (2.62) giving

f( s *)

= -

s*2 ( 1 - - s 1 *4

+

- - s 19 *8

+" .

)

2 48 7680 ' (2.68)

and the fifth of equations (2.55) may be used to calculate that

( 1 4 1 *8 )

s*(x*)

=

x* 1

+

40 x * - 17280x

+ .. : .

(2.69)

The velocity components can also be found by using (2.55)

* 1 ( 1 *4 19 *8 ) 1 ( 7 *4 2891 *8 )

U

=

s* 1 - 16 s

+

1536 s

+. .. =

x* 1 - 80 x

+

345600 x

+. .. ,

(2.70)

(2.71)

1 ( 1 *4 13 *8 ) 1 ( 3 *4 1069 *8 )

v*

=

s* 1

+

16 s - 1536 s

+. .. =

x* 1

+

80 x - 345600 x

+. .. .

(2.72)

These series solutions may be used to give approximate values, whilst the gradient

f <

1. In this case the corrective terms are generally small compared with the first terms in the series, indicating that the behaviour of the buoyant jet is like that of a pure jet even though the jet may have begun to divert from its horizontal course.

Large values of tile gradient,

f

The behaviour of the equations will now be considered for large values of the gradient

f.

Equation (2.62) now becomes

df s*

ds* ~

VJ'

(2.73)

which may be integrated with respect to s*, giving

( 3)~

2 2

f

~

4

(s*

+

So

F ,

(2.74)

Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

where So is a constant of integration. The arclength, s*, may be chosen to be sufficiently large so that s*2 ~ So and (2.74) then approximates to

(3) ~

4

f~

4

S*3. (2.75)

Now for'large

f,

ds*

dx* ~

f,

(2.76)

and so substituting for

f

from (2.75) and integrating gives

s*

=

48(x~ - x*)-3, (2.77) where x;;" is a constant of integration. This is an important result, showing that the jet centreline can only reach a maximum horizontal displacement given by x;;". The values of s*, z and b are infinite at this point, whereas the velocity components are zero. The value of Xm cannot be calculated analytically but it will be calculated from the numerical solution later.

Substituting (2.77) into (2.75) gives

f(x*) = 144(x~ - X*)-4, (2.78)

which may be integrated to give

( .*) - 48( .* .*)-3

+

Z X - Xm - X zOo (2.79)

The velocity components can be found using (2.55) giving

u* =

(3)-t

- S *_2. 3 = - X

1

(* - x *)5

4 576 m , (2.80)

w*

= (3)t

-4 S *_1. 3 -- -4 1( . X * m - X . *) , (2.81)

*

(3)t

*_1. 1( * *)

V

= 4

s 3

= 4

Xm - X (2.82)

As expected, in the limit of s* -+ 00, V* ~ w* and substituting for (x;;" - x*) using (2.79) and comparing with equations (2.31) S110WS that the velocity components have plume-like behaviour.

-

65-Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

2.4.4 Hypothesis 2: The entrainment constant varies linearly with the local Richardson number

The implications of the second hypothesis will now be examined. In this case it is assumed that the entrainment constant varies linearly with the local Richardson number, Ri, of the jet

( Ri)

0'

=

O'jet

+

(O'plume - O'jet) Rip with . Q2 B bg'

R~

=

- - 5 M'i

=

- 2 '

V

(2.83) where Q, B and M are the local fluxes of specific volume, buoyancy and momentum defined by

7rQ

= J

vdS, 7rB

= J

vg'dS, 7rM

= J

v2dS, (2.84)

dS denoting integration across the jet. This was first suggested by Priestly & Ball (1955)

,

and has been supported by Kotsovinos & List (1977). Assuming that the solution tends to that of a pure plume as S --t 00, equations (2.31) may be used to calculate Rip, giving

a constant, with value Rp

=

0.133.

The analysis proceeds similarly to that of section 2.4.3. It is co'nvenient to write (2.50) and (2.51) in the form

and (2.85)

where k

=

20'j, for ease of comparison with the previous section. The continuity equation

(2.86) must be integrated in order to obtain the equation defining

f.

In the rotated coordinate system of section 2.4.1, the continuity equation becomes

(cos f)

D~'

- sin f)

D~'

) u

+

(sin f)

D~' +

cos f)

D~')

w = O. (2.87)

The terms in x' may be rewritten giving

Dv . Du Dw

Dx' - Sill f) Dz'

+

cos f) Dz'

=

O. (2.88)

Chapter Three - A Model of an Initially H01'izontal Buoyant Jet ...

Integrating, making the same assumptions about the integration region as before, gives (2.89) However (w cos 0 - u sin 0) is the exterior flow perpendicular to the jet axis, and so has magnitude proportional to the interior velocity scale, v. Hence

and so

(usinO - wcosO)

=

av,

-l d (b2v)

=

2abv.

(.s

(2.90)

(2.91) This is the conservation of volume equation that will be used to solve the problem when using the second hypothesis, recaJling that a is dependent on the local Richardson number of the jet. Hence the problem is to solve (2.85), (2.91) and (2.54) with the hypothesis of (2.83).

The result of (2.55) still holds here, and substituting this into (2.91) with the hypothesis of (2.83), gives the equation for the gradient

f

(2.92)

By non-dimensionalising the variables as in section 2.4.3, (2.92) reduces to

(2.93) This is the equation for

f

that will be solved numerically later, but series solutions for small

f,

analogous to (2.66)-(2.72), may be found. These are

f( X *) = -x*2 ( 1

+

{3 -x *? ~

+

2 -[ 1

+

{32]

-

x *4

+ ...

)

2 6 40 45 ' (2.94)

*( *) x*3 ( {3 *2 6 [ 1 {32] *4 )

Z X

= -

1

+

- x

+ - - + -

x

+ ...

6 10 7 40 45 ' (2.95)

f( S *)

= -

s*2 ( 1

+

{3 *2 -s

+

- s 2{32 *4

+

- - s 17{33 *6

+ ...

)

2 6 45 1260 ' (2.96)

s*(x*) . -- . x*

(1 + ~X*4

40'

+ L

168' X*6

+ ... )

, (2.97)

-

67-Chapter Three - A Model of an Initially Horizontal Buoyant Jet ...

u* =

~ (1 - ~s*2

_ [(32

+!]

S*4

+ ... )

=

~ (1 _ ~x*2

_

[~(32 + ~]

X*4

+ ... ) ,

s* 3 45 8 x* 3 90 20

(2.98)

* s* ( (3 *2 [(32

1]

*4 ) x* ( (3 *2 [

1

(32] *4 )

W

="2

1

-"6

s - 30

+ 8"

s

+. .. ="2

1

-"6

x - 10

+

45 x

+. .. ,

(2.99)

v*

= ~

(1 -

~s*2

_ (32 s*4

+ ... ) = ~

(1 _

~x*2

-

[~(32 + ~]

x*4

+ ... ),

(2.100)

s* 3 45 x* 3 90 20

where

with the values suggested above.

Note that the series are now in x*2 rather than in x*4 as they were in (2.66)-(2.72).

The behaviour for large

f

is the same as that of the previous ~ection, although the inte-gration constants may be different.