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(1)

for Compressible Two-Phase Flows

Keh-MingShyue

Abstract.

We present a simple approach to the computation of a simpli ed

two-phase ow model involving gases and liquids separated by interfaces in

multiple space dimensions. In contrast to the many popular techniques which

are mainly concerned with the incompressible ow, we consider a

compress-ible version of the model equations without the e ect of surface tension and

viscosity. We use the

-law and the Tait equation of state for approximating

the material property of the gas and the liquid in a respective manner. The

algorithm uses a volume-of- uid formulation of the equations together with a

sti ened gas equation of state that is derived to give an approximate model

for the mixture of more than one phase of the uids within grid cells. A

stan-dard high-resolution shock capturing method based on a wave-propagation

view-point is employed to solve the proposed model. We show results of some

preliminary calculations that illustrate the viability of the method to practical

application without the occurrence of any spurious oscillation in the pressure

near the interfaces. This includes results of a planar shock wave in water over

a bubble of air.

1. Introduction

We are interested in a two-phase ow problem with interfaces that separate regions

of two di erent uid components consisting of gases and liquids. We consider a

two-dimensional ow as an example, and use the compressible Euler equations to

modeling the motion of the gases,

@ @t 0 B B @  u v E 1 C C A

+

@ @x 0 B B @ u u 2

+

p uv

(

E

+

p

)

u 1 C C A

+

@ @y 0 B B @ v uv v 2

+

p

(

E

+

p

)

v 1 C C A

= 0

:

(1)

Here



is the density,

u

and

v

are the velocities in the

x

- and

y

-direction

respec-tively,

p

is the pressure, and

E

is the total energy per unit mass. We assume that

ThisworkwassupportedinpartbyNationalScienceCouncilofRepublicofChinaGrants NSC-86-2115-M-002-005andNSC-87-2115-M-002-016.

(2)

the equation of the state for the gas satis es the

-law, where

is the ratio of

speci c heats (

>

1). Then the internal energy is

e

= 1

1

p  ;

(2)

and

E

=

e

+ (

u 2

+

v 2

)

=

2. We note that the four components of Eqs. (1) express

the conservation of mass, momenta in the

x

- and

y

-direction, and energy,

respec-tively [5].

As it is often the case, we take the liquids to be baratropic that the pressure

p

is a function of the density



only, and in particular it ful lls the Tait equation

of state of the form,

p

(



) =

A

B;

(3)

where

A

and

B

are material-dependent constants; these two parameters along with

give a fundamental characterization of the uid properties of interest and can

be obtained from a tting procedure of laboratory data [26]. Typical set of values

are, for water,

= 7,

A

= 3001 atm, and

B

= 3000 atm [5], and for human

blood,

= 5

:

527,

A

= 614

:

6 MPa, and

B

= 614

:

6 MPa [17], approximately. It is

important to note that because of the mere dependency of the pressure

p

on the

density



, the energy equation of the Euler Eqs. (1) plays no active role to the

determination of this ow behavior, and hence can be neglected. For completeness,

we write down the equations of motion for the liquid as follows,

@ @t 0 @  u v 1 A

+

@ @x 0 @ u u 2

+

p

(



)

uv 1 A

+

@ @y 0 @ v uv v 2

+

p

(



)

1 A

= 0

;

(4)

where the pressure

p

is governed by (3).

We want to use a state-of-the-art shock-capturing method on a uniform

rect-angular grid for the computation. For convenience, let us suppose that for each

grid cell we have a volume-fraction function

Z

representing the type of uid within

the cell. For example, for the liquid only cells we may take

Z

= 1, and therefore

for the gas only cells we may set

Z

= 0. In case there are some cells cut by the

interfaces where

Z2

(0

;

1), we then have both of the gas and liquid components

in the cells in which the liquid and the gas are occupied by the volume fractions

Z

and 1

Z

, respectively.

It is clear that, when

Z

= 0 or

Z

= 1, there is no problem in describing

the motion of each of the gas and liquid ows individually, see Eqs. (1){(4). The

principle problem in the current application and also in the other multicomponent

problems (cf. [1, 4, 7, 14, 15]) is however directed to the development of an ecient

and yet accurate way that is capable of dealing with the uid-mixture case when

Z 2

(0

;

1). Motivated by the previous work by the author [20], the algorithm we

employed uses a mixture model based on a fraction (or called a

volume-of- uid) formulation of the equations that is devised to model the mixture of the

two di erent equations of state (2) and (3) by the so-called sti ened gas equation

of state (6) (see Section 2). Then from the energy equation of (1), we choose

(3)

conditions that should be satis ed to ensure the pressure in equilibrium for these

cells (see Section 3). Numerical results to be presented in Section 4 show that this

is a viable approach for practical problems without any spurious oscillations in

the pressure near the interfaces when we approximate the model equations in a

consistent manner by a uctuation-and-signal type of shock capturing method [11,

12, 19].

It is true that for real applications the e ect of surface tension as well as

viscosity are two important elements to the solutions of a two-phase ow problem

under studied [18]. Among many of the approaches developed over the years to deal

with these situations (cf. [10, 25]), the method based on the level set formulation [2,

22, 23] has shown to be quite e ective for an incompressible version of the problem

where the uids are mostly in a low Mach number regime. Here in contrast to

the work just mentioned, we consider a class of problems where the in uence of

compressibility of the uids to the solutions is vital, but not the surface tension

and viscosity. Examples of this kind cover a family of shock wave problems with

interfaces [8, 9]. Our goal here is to establish a basic solution strategy for the

problem (cf. [3, 6, 7, 24] for other approaches). Realization of this approach that

couples with adaptive grid procedures such as front tracking and adaptive mesh

re nement is in progress (cf. [21]). In a future work, we will take more physical

factors into account, and also look at methods that are ecient for problems with

low and high Mach number ow where the time step restriction is an important

issue to be addressed.

This paper is organized as follows. In Section 2, we remark and discuss the

equations of state that are used in our model two-phase ow problems with gases

and liquids. In Section 3, we review the derivation of the model system based on

a volume-of- uid formulation of the equations. Numerical results for some sample

problems are shown in Section 4.

2. Equations of State

It is known that in gases the speci c entropy, denoted by

S

, has great in uence

to the behavior of the pressure

p

, while in liquids the in uence of its changes is

negligible to the pressure [5, 26]. In fact, because of this little dependency of the

pressure on the entropy and a consequence of the rst law of thermodynamics, we

may write the internal energy of a liquid as a separable energy of the form

e

=

e (1)

(



) +

e (2)

(

S

)

;

where with the Tait equation of state (3) we nd

e (1)

(



) = 1

1

 p

(



) +

B   :

(5)

From this, it is easy to observe strong resemblance of the equation of state of a

liquid to that of an ideal gas (2). With this in mind, it should be sensible to use

(4)

a generalized version of Eq. (5), namely, the sti ened gas equation of state,

e

= 1

1

 p

+

B   ;

(6)

without the explicitly dependence on the density



to the pressure

p

to modeling

mixtures of the components of gases and liquids within a grid cell. Note that

a sti ened gas reduces to a

-law gas when

B

= 0, and to a baratropic gas of

the form (3) when the pressure

p

is independent of the entropy

S

. Oftentimes,

the equation of state (6) has been used in other applications to model materials

including compressible liquids and solids [16]. Here we nd it is suitable for the

current application, when combining (6) with a two-phase ow algorithm described

in the next section, see results shown in Section 4 for numerical veri cation of this

statement.

3. Volume-Of-Fluid Algorithm

We now discuss the basic idea of our approach to modeling cells that contain both

of the gas and liquid phases. We use the Euler Eqs. (1) as a model system that

describes the motion of the mixtures of conserved variables such as



,

u

,

v

, and

E

in a gas-liquid coexistent grid cell. Then with the use of the equation of state (6)

the pressure

p

in the equations (1) can be set by

p

= (

1)

 E

(

u

)

2

+ (

v

)

2

2

  B;

(7)

when the mixture of material-dependent parameters

and

B

are de ned and

known a priori. It is important to note that in our approach the conditions for

and

B

are chosen so that the pressure

p

in (7) retains in equilibrium for a

gas-liquid mixture cell. The derivation of the evolution equations for

and

B

in the

current case follows directly from procedures developed in [20]. However, to make

the paper self-contained, a brief overview of this approach is undertaken below.

We begin by considering a model two-phase ow problem that the pressure

p

and the velocity eld (

u;v

) are constant in the domain, while the other

vari-ables such as the density



and the equation of state parameters:

and

B

, are

having jumps across a gas-liquid interface. We write Eqs. (1) in the following

non-conservative form,

@ @t

+

u @ @x

+

v @ @y

+

  @u @x

+

@v @y 

= 0

; @u @t

+

u @u @x

+

v @u @y

+ 1

 @p @x

= 0

; @v @t

+

u @v @x

+

v @v @y

+ 1

 @p @y

= 0

; @ @t

(

e

) +

@ @x

(

eu

) +

@ @y

(

ev

) +

p  @u @x

+

@v @y 

= 0

;

(5)

and obtain easily equations describing the motion of the gas-liquid interface as

@ @t

+

u @ @x

+

v @ @y

= 0

; @ @t

(

e

) +

u @ @x

(

e

) +

v @ @y

(

e

) = 0

:

(8)

To see how the pressure

p

would keep in equilibrium as it should be for this

model problem, we insert the equation of state (6) into (8), and have

@ @t  p

+

B

1



+

u @ @x  p

+

B

1



+

v @ @y  p

+

B

1



= 0

:

(9)

Then with the volume-fraction function

Z

de ned previously in Section 1, the

total internal energy

e

can be expressed as a function of the volume fraction by

e

=

p

+

B

1 =

Z  p (l)

+

(l) B (l) (l)

1



+ (1

Z

)

 p (g) (g)

1

 ;

(10)

where the superscript \

l

" and \

g

" of the states

p

,

, and

B

represent the values

for the liquid and gas phases, respectively. When substituting (10) to (9), and

after some algebraic manipulation, it is not dicult to show the satisfaction of

the required pressure equilibrium,

p

=

p

(l)

=

p

(g)

, when the following evolution

equation for the volume-fraction function is hold,

@Z @t

+

u @Z @x

+

v @Z @y

= 0

:

(11)

Note that in this instance, the mixture of

and

B

are computed by

= 1 + 1

 Z (l)

1 +

1

Z (g)

1

 ;

(12a)

and

B

=

 Z (l) B (l) (l)

1



1 +

Z (l)

1 +

1

Z (g)

1

 :

(12b)

In summary, the model equations we proposed to solve two-phase ow

prob-lems with gases and liquids consist of the following equations,

8 > > > > > > > > > > > > > > > < > > > > > > > > > > > > > > > : @ @t

+

@ @x

(

u

) +

@ @y

(

v

) = 0

@ @t

(

u

) +

@ @x

(

u 2

+

p

) +

@ @y

(

uv

) = 0

@ @t

(

v

) +

@ @x

(

uv

) +

@ @y

(

v 2

+

p

) = 0

@ @t

(

E

) +

@ @x

[(

E

+

p

)

u

] +

@ @y

[(

E

+

p

)

v

] = 0

if 0

Z<

1

@Z @t

+

u @Z @x

+

v @Z @y

= 0

;

(13)

(6)

where in case

Z

= 1 the Tait equation of state (3) is used to compute the pressure

p

for a liquid, while Eq. (7) is employed when 0

Z <

1 with

and

B

de ned

by (12a) and (12b), respectively. We note that the model Eqs. (13) is not written in

the full conservation form, but is rather a quasi-conservative system of equations.

Numerical approximation based on the discretization of the model equations via

the wave propagation approach [11, 12] has shown to be quite robust for a wide

variety of problems of practical interests, see results presented in Section 4. The

algorithmic details as well as many other numerical aspects of this approach may

be found in the papers [20, 21].

4. Numerical Results

We now present two sample calculations to demonstrate the feasibility of the

pro-posed approach described in Section 3 for practical applications (cf. [21] for more

numerical results).

Example 4.1.

To begin, we consider a radially symmetric problem that

the computed solutions can be compared with the one-dimensional results for

numerical validation. We use the same setup as done by Davis [6] that inside

a circular membrane of radius

r

0

= 0

:

2 the uid is air with density



= 1

:

25,

pressure

p

= 2

:

75, and the adiabatic gas constant

= 1

:

4, while outside the

circular membrane the uid is liquid with density



= 1 and the Tait equation of

state (3) of parameter values:

A

= 1,

B

= 1, and

= 7. Initially both of the air and

the liquid are in a stationary position, but due to the pressure di erence between

the uids, breaking of the membrane occurs instantaneously. For this problem, the

resulting solution consists of an outward-going shock wave in liquid, an

inward-going rarefaction wave in air, and a contact discontinuity lying in between that

separates the air and the liquid.

In Fig. 1, we show numerical results for the density



as well as the pressure

p

at time

t

= 0

:

07. We use a 100



100 grid with the high resolution version of the

wave propagation method (cf. [11, 12]) for the computation (the computational

domain is a square with dimensions [0

;

0

:

5]



[0

;

0

:

5]). From the contours of the

plots, it is easy to see the wave pattern as just mentioned after the breaking of the

membrane, where the dashed line in the pressure contours is the approximate

loca-tion of the interface. From the scatter plots, we nd good agreement of the results

as compared with the \true" solution obtained from solving the one-dimensional

multicomponent model with appropriate source terms for the radial symmetry

using the high-resolution method [20] (with mesh side

h

= 1

=

2000). Noticeably,

here the pressure near the interface behaves in a satisfactory manner without any

spurious oscillations, and the shock wave and contact discontinuity appear to be

very well located.

Example 4.2.

Our next example concerns a planar shock wave in water

over a bubble of air. We take an initial condition that is similar to the one used

by Grove and Meniko [9] where anomalous re ection of a shock wave at a uid

(7)

Density

a)

Pressure

0.0 0.2 0.4 0.6 0.8 0.9 1.0 1.1 1.2

r

.... . . . . . . . . . . . . . ....... ... . . . . ... . . ... ... . . . . . . . . . . . . . . ....... ... . . . . ... . . ... ... . . . . . . . . . . . . . . ....... ... . . . . ... . . ... ... . . . . . . . . . . . . . . ....... . . . . ... . . ... ..... . . . . . . . . . . . . . . ....... . . . . ... . . ... ... . . . . . . . . . . . . . . .. ....... . . . . ... . . ... .... . . . . . . . . . . . . . . ...... ... . . . . . ... . . ... ... . . . . . . . . . . . . . . . ........ . . . . ... . . ... ..... . . . . . . . . . . . . . . . ....... . . . . .... . . ... ..... . . . . . . . . . . . . . . . ....... ... . . . . ... . . ... .... . . . . . . . . . . . . . . .. ....... . . . . ... . . ... .... . . . . . . . . . . . . . . . ...... ... . . . . . ... . . . ... ..... . . . . . . . . . . . . . . . .. ....... . . . . ... . . .... ..... . . . . . . . . . . . . . . . . ... ... . . . . ... . . ... .... ... . . . . . . . . . . . . . . . ...... ... . . . . ... . . ... .... .. . . . . . . . . . . . . . . . .. ....... . . . ... ... . . . ... ... ... . . . . . . . . . . . . . . .. ... ... . . . . ... . . ... ..... . . . . . . . . . . . . . . .. ....... . . . . ... . . . ... .... . . . . . . . . . . . . . . .. ....... . . . .... . ... ..... . . . . . . . . . . . . .. ... ... . . . . ... . . ... .... . . . . . . . . . . . .. ...... ... . . . . . .... . . ... .... ... . . . . . . .. ....... ... . . . . .... . . ... .... ... .. .. .. ... ....... . . . ... . ... ...... .. .... ...... ... . . . . ... . . ... ... ... ... ...... ... . . . . ... . . ... ... ... ....... . . . . ... . . .... ... ....... . . . . ... . . ... ....... . . . . .... . . ... ....... . . . . ... . . .... ... . . . . . ... . . ... ... . . . . ... . . ... ... . . . . . ... . . ... ... . . . . . ... . . ... ... . . . . ... ... . . . ... ... . . . . . ... . . ... ... . . . . . ... . . ... ... . . . . . ... .... . . ... ... . . . . . ... ... . . . ... ... . . . . . . . ... . . ... ... . . . . . . . . ... . . ... ... .. . . . . . . ... . . ... ... .. . . . . . . . ... . . ... ... .. . . . . . . .. ... . . ... ... .. . . . . . . . . . ... . . ... ... .. . . . . . . . . . . ... . . ... ... .. . . . . . . . . . . .. .... . .... ... .. .. . . . . . . . .. . ... . . ... .... .. .. . . .. . .. .. ... . . ... ... .. .. . . . .... ... . . ... ... .. ... ... . . . ... ... .... . . ... ... . . . ... ... . . . ... .... . . ... .... . . ... ... . . .... ... . . . ... .... . . ... ... . . ... .... . . ... .... . . ... ... . . ... ... . . ... .... . . ... .... . . ... .... . . ... ... . . . ... ... . . . ... ... . . . ... ... . . . ... .... . . . ... ... . . . ... ... . . . ... ... . . . . ... ... . . . ... ... . . . . ... .... . . . ... .... . . . ... ... . . . . ... ... . . . . ... ... . . . . ... ... . . . . ... .... . . . ..... ..... . . . . ... ..... . . . . ..... ..... . . . . ..... ..... .. . . . . ... ..... .. . .. .. ... ... ... .... ....... ... ....................................

Density

b)

0.0 0.2 0.4 0.6 0.0 0.5 1.0 1.5 2.0 2.5

r

..... . . . . . . . . . . .. ...... ...... . . . . ... ..... . . . . . . . . . . .. ...... ... . . . . ... .... . . . . . . . . . . ...... ...... .. . . . .... ... . . . . . . . . . . .. ...... ...... . . . .... ... . . . . . . . . . .. ...... ...... . . . ... ..... . . . . . . . . . . .. ...... ...... . . . ... .... . . . . . . . . . . ... ...... ... . . . ... ..... . . . . . . . . . . .. ...... ...... . . . . ... ..... . . . . . . . . . . .. ...... ...... . . . . ... ..... . . . . . . . . . . .. ...... ...... . . . . ... ..... . . . . . . . . . . . .. ...... ...... . . . . ... ..... . . . . . . . . . . . .. ...... ...... . . . . ... ..... .. . . . . . . . . . . .. ...... ...... . . . . ... ..... ... . . . . . . . . . .. ...... ...... . . . .... ..... . . . . . . . . . . . .. ...... ...... . . . ... ..... ... . . . . . . .. .. ...... ...... . . . . ... ..... . . . . . . . . .. .. ... ...... ... . . . ... ..... ... . .. . .. .. ...... ...... . . . . ... ..... .. .. .. .... ...... ...... . . . .... ..... .... .. ...... ...... ..... . . . ... ... ... .... ... ... ...... ... . . . ... ...... ... ...... ...... ..... . . . ... ...... .... ...... ...... . . . .... ...... ...... ...... . . . ... ...... ...... .... . . . ... ...... ...... . . . . ... ...... ...... . . . ... ...... ...... . . . ... ...... ... . . . . ... ...... ... . . . ... ...... ... . . . ... ...... .... . . . ... ...... ... . . . ... ...... .... . . . ... ...... ... . . . ... ...... ... . . . ... ...... ... . . . ... ... ...... . . . ... ...... .... . . .... ...... ... . . . ... ...... ... . . . .... ... ....... . . . ... ... ... . . . ... ...... ... . . . ... ...... .. . . . ... ...... ... . . . ... ...... .. . . . ... ...... . . . ... ...... .. . . . ... ...... .. . . . ... ...... . . . ... ...... . . . . ... ...... . . . . ... ...... . . . ... ...... . . . .... ...... . . . . ... ...... . . . . ... ...... . . . ... ...... . . . . ... ...... . . . ... ...... . . . ... ...... . . . .... ...... . . . . ... ...... . . . . ... ...... . . . . ... ...... . . . ... ...... . . . ... ... . . . . ... ... . . . . ... ..... . . . . ... ..... . . . . ... ... . . . . ... ... . . . . ... ... . . . . . ... ... . . . . ... ... . . . . . ... ... . . . . . ... ... . . . . . ... ... . . . . . ... ... . . . . . ... ..... . . . . . ... ... . . . . . . ... ..... . . . . . . ... .... . . . . . . ..... ..... . . . . . . . ... ..... . . . . . . . . ... ... ... . . . . . . . . . ... ..... .. . . . . . . . .. ... ..... . . . . . . .. ....... ... ... ......... ...

Pressure

Figure 1.

High resolution results for a radially symmetric

prob-lem at time

t

= 0

:

07. (a) Contours of the density



and the

pres-sure

p

. (b) Scatter plots of the density



and the pressure

p

with

locations measured as a distance from a point of the solution to

the center (0

;

0). The solid line in the scatter plot is the \true"

solution obtained from solving the one-dimensional

multicompo-nent model with appropriate source terms for the radial symmetry

using the high-resolution method. The dotted points are the

two-dimensional result. The dashed line in the pressure contour is the

approximate location of the interface.

interface is examined closely there. Here to test the proposed method, we consider

a downward-moving Mach 1

:

587 shock wave in water with data in the

(8)

and data in the post-shock state by

(

; u; v; p

)post-shock = (1

:

233

;

0

;

43

:

467

;

10

4

)

:

The parameters we used for the equation of state of the water are:

A

= 3001 atm,

B

= 3000 atm, and

= 7. In addition to this, we assume that there is a stationary

bubble of air of radius 0

:

2 located just below the shock with density



= 0

:

0012

(di-mensional unit g/cc) and the adiabatic gas constant

= 1

:

4 for the

-law equation

of state (2). We note that the ratio of acoustic impedances (

c

)

water

=

(

c

)

air



3535

is large for the problem studied here, where

c

is the speed of the sound of the

mate-rial of interests. In fact, this is a much more dicult test than those ones considered

in

Example 4.1

and also in [20].

Fig. 2 shows preliminary results of this problem using the high resolution

method with a 200



200 grid on a unit square domain. In the gure, reasonable

resolution of the results are obtained by the method where the density



and the

pressure

p

contours (in logarithmic scale) at three di erent times,

t

= (1

;

2

;

3)



10

3

, are present (cf. [9]). Some works are in progress to further validate the

approach introduced here (cf. [21]). This includes results of a model water splash

problem that due to gravity a water drop is fallen from the air to a water surface

in below [18, 23].

References

[1] R. Abgrall,

How to prevent pressure oscillations in multicomponent ow calculations:

a quasi conservative approach,

J. Comput. Phys.,

125

(1996),150{160.

[2] Y. C. Chang and T. Y. Hou and B. Merriman and S. Osher,

A level set formulation

of Eulerian interface capturing methods for incompressible uid ows,

J. Comput.

Phys.,

124

(1996), 449-464.

[3] T.-J. Chen and C. H. Cooke,

On the Riemann problem for liquid or gas-liquid media,

Inter. J. Numer. Meth. Fluid,

18

(1994), 529{541.

[4] P. Colella and R. E. Ferguson and H. M. Glaz,

Multi uid algorithms for Eulerian

nite di erence methods,

Preprint (1994).

[5] R. Courant and K. O. Friedrichs,

Supersonic Flow and Shock waves,

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Department of Mathematics

National Taiwan University

Taipei, Taiwan, Republic of China

E-mail address

:

[email protected]

(10)

Density

a)

air

water

Pressure

air

water

Density

b)

Pressure

Density

c)

Pressure

Figure 2.

High resolution results for a planar Mach 1

:

587 shock

wave in water over a bubble of air. Contours of the density



and

the pressure

p

are shown (in logarithmic scale) at three di erent

times. (a) at time

t

= 0

:

001 (b) at time

t

= 0

:

002. (c) at time

t

=

0

:

003. The dashed line in the pressure contour is the approximate

數據

Figure 1. High resolution results for a radially symmetric prob- prob-lem at time t = 0 : 07
Figure 2. High resolution results for a planar Mach 1 : 587 shock wave in water over a bubble of air

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