lattice boltzmann model for binary mixtures

4
Lattice Boltzmann model for binary mixtures Li-Shi Luo 1, * and Sharath S. Girimaji 2,² 1 ICASE, Mail Stop 132C, NASA Langley Research Center, 3 West Reid Street, Building 1152, Hampton, Virginia23681-2199 2 Department of Aerospace Engineering, Texas A & M University, 3141 TAMU, College Station, Texas77843-3141 ~Received 20 February 2002; revised manuscript received 17 July 2002; published 27 September 2002! An a priori derivation of the lattice Boltzmann equations for binary mixtures is provided by discretizing the Boltzmann equations that govern the evolution of binary mixtures. The present model leads to a set of two-fluid hydrodynamic equations for the mixture. In existing models, employing the single-relaxation-time approximation, the viscosity and diffusion coefficients are coupled through the relaxation parameter t , thus limited to unity Prandtl number and Schmidt number. In the present model the viscosity and diffusion coeffi- cient are independently controlled by two relaxation parameters, thus enabling the modeling of mixtures with an arbitrary Schmidt number. The theoretical framework developed here can be readily applied to multiple- species mixing. DOI: 10.1103/PhysRevE.66.035301 PACS number~s!: 47.11.1j, 47.10.1g, 05.20.Dd The lattice Boltzmann equation ~LBE!@1–6# is emerging as an effective computational method based on fundamental physics for simulating complex flows such as multiphase @7–10# and multiple-component flows @11–13#, flows through porous media ~cf. Ref. @5#!, and particulate suspen- sions in fluid flows ~e.g., Ref. @14#!. Recently, important strides have been made on the theoretical front, establishing, from fundamental principles, the physical legitimacy and mathematical rigor of the LBE method. Most importantly, it has been proved that the lattice Boltzmann equation can be derived from the Boltzmann equation a priori @2–4,9,10#. It should be pointed out that the Boltzmann equation bridges the gap between the microscopic dynamics and the macro- scopic hydrodynamics. Indeed the Navier-Stokes equations can be rigorously derived from the Boltzmann equation via the Chapman-Enskog analysis. The second important theo- retical result is the demonstration that the lattice Boltzmann equation is indeed equivalent to an explicit finite difference scheme of the Navier-Stokes equations @15#. These theoreti- cal developments have completely and comprehensively re- solved all doubts surrounding the early lattice-gas automata @16# and lattice Boltzmann models. The present day lattice Boltzmann equation is a viable alternative to the continuum methods for simulating fluid flows. Much of the rigorous work with lattice Boltzmann methods so far has been re- stricted to simple single-phase single-component fluids. Re- cently, the LBE model for single-component multiphase flu- ids has been derived from the Enskog equation @9,10#.A rigorous mathematical development of the lattice Boltzmann method for multicomponent fluids is still in its infancy and such is the object of the present work. In many practical flows involving pollutant dispersion, chemical processing, and combustor mixing and reaction, mass and momentum transport in multispecies fluids plays an important role. For these applications, the continuum- based models can be difficult to compute due to various rea- sons such as complexity of flow geometry and phase change. Moreover, it is difficult to construct the continuum-based models from first principles. Therefore for these flows, there is a growing interest in using the lattice Boltzmann equation @11–13#. In this paper, we develop a unified approach for developing the lattice Boltzmann models for multicompo- nent fluids within the framework of kinetic theory. This work is a part of our continuing effort to set the lattice Boltzmann equation on a rigorous foundation @2,3,9,10#. Specifically, we will derive a conservative discretized version of the con- tinuum Boltzmann equation for fluid mixtures. We shall present a model that is capable of simulating either a mis- cible or immiscible binary mixture. The lattice Boltzmann equation considered here can be extended to a mixture of three or more species. The kinetic theory of gas mixtures encompasses a signifi- cant amount of literature ~e.g., Refs. @17–27#!. In a manner similar to the derivation of the Boltzmann equation for a pure system of single species, one can derive N simultaneous equations for a system of N species by reducing the appro- priate Liouville equation. For the sake of simplicity without loss of generality, we shall only discuss the Boltzmann equa- tions for a binary system, ] t f A 1j•“ f A 1a A •“ j f A 5Q AA 1Q AB , ~1! where Q AB 5Q BA is the collision term due to the interaction between two different species A and B. Obviously, for an N-component system, there will be N such equations, each containing N collision terms on the right-hand side. In gen- eral, the collision term is @23–25# Q AB 5 E d j B d V s AB i j B 2j A i @ f 8 A f 8 B 2 f A f B # . ~2! Obviously, the equations for a system of multiple species are much more formidable to analyze than the comparable equa- tion for a pure system of single species. The first modeling objective is to find a suitable approximation for the collision terms of Eq. ~2!. Many of the kinetic models for gas mixtures are based upon the linearized Boltzmann equation @25,28#. The simplest model for a binary mixture is that in Ref. @18#, *Electronic address: [email protected]; http://www.icase.edu/;luo ² Electronic address: [email protected] RAPID COMMUNICATIONS PHYSICAL REVIEW E 66, 035301~R!~2002! 1063-651X/2002/66~3!/035301~4!/$20.00 ©2002 The American Physical Society 66 035301-1

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Page 1: Lattice Boltzmann model for binary mixtures

99

RAPID COMMUNICATIONS

PHYSICAL REVIEW E 66, 035301~R! ~2002!

Lattice Boltzmann model for binary mixtures

Li-Shi Luo1,* and Sharath S. Girimaji2,†

1ICASE, Mail Stop 132C, NASA Langley Research Center, 3 West Reid Street, Building 1152, Hampton, Virginia 23681-212Department of Aerospace Engineering, Texas A & M University, 3141 TAMU, College Station, Texas 77843-3141

~Received 20 February 2002; revised manuscript received 17 July 2002; published 27 September 2002!

An a priori derivation of the lattice Boltzmann equations for binary mixtures is provided by discretizing theBoltzmann equations that govern the evolution of binary mixtures. The present model leads to a set oftwo-fluid hydrodynamic equations for the mixture. In existing models, employing the single-relaxation-timeapproximation, the viscosity and diffusion coefficients are coupled through the relaxation parametert, thuslimited to unity Prandtl number and Schmidt number. In the present model the viscosity and diffusion coeffi-cient are independently controlled by two relaxation parameters, thus enabling the modeling of mixtures withan arbitrary Schmidt number. The theoretical framework developed here can be readily applied to multiple-species mixing.

DOI: 10.1103/PhysRevE.66.035301 PACS number~s!: 47.11.1j, 47.10.1g, 05.20.Dd

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The lattice Boltzmann equation~LBE! @1–6# is emergingas an effective computational method based on fundamephysics for simulating complex flows such as multipha@7–10# and multiple-component flows@11–13#, flowsthrough porous media~cf. Ref. @5#!, and particulate suspensions in fluid flows ~e.g., Ref. @14#!. Recently, importantstrides have been made on the theoretical front, establishfrom fundamental principles, the physical legitimacy amathematical rigor of the LBE method. Most importantly,has been proved that the lattice Boltzmann equation canderived from the Boltzmann equationa priori @2–4,9,10#. Itshould be pointed out that the Boltzmann equation bridthe gap between the microscopic dynamics and the mascopic hydrodynamics. Indeed the Navier-Stokes equatcan be rigorously derived from the Boltzmann equationthe Chapman-Enskog analysis. The second important tretical result is the demonstration that the lattice Boltzmaequation is indeed equivalent to an explicit finite differenscheme of the Navier-Stokes equations@15#. These theoreti-cal developments have completely and comprehensivelysolved all doubts surrounding the early lattice-gas autom@16# and lattice Boltzmann models. The present day lattBoltzmann equation is a viable alternative to the continumethods for simulating fluid flows. Much of the rigorouwork with lattice Boltzmann methods so far has beenstricted to simple single-phase single-component fluids.cently, the LBE model for single-component multiphase flids has been derived from the Enskog equation@9,10#. Arigorous mathematical development of the lattice Boltzmamethod for multicomponent fluids is still in its infancy ansuch is the object of the present work.

In many practical flows involving pollutant dispersiochemical processing, and combustor mixing and reactmass and momentum transport in multispecies fluids pan important role. For these applications, the continuubased models can be difficult to compute due to varioussons such as complexity of flow geometry and phase cha

*Electronic address: [email protected]; http://www.icase.edu/;luo†Electronic address: [email protected]

1063-651X/2002/66~3!/035301~4!/$20.00 66 0353

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Moreover, it is difficult to construct the continuum-basemodels from first principles. Therefore for these flows, theis a growing interest in using the lattice Boltzmann equat@11–13#. In this paper, we develop a unified approachdeveloping the lattice Boltzmann models for multicompnent fluids within the framework of kinetic theory. This woris a part of our continuing effort to set the lattice Boltzmaequation on a rigorous foundation@2,3,9,10#. Specifically, wewill derive a conservative discretized version of the cotinuum Boltzmann equation for fluid mixtures. We shapresent a model that is capable of simulating either a mcible or immiscible binary mixture. The lattice Boltzmanequation considered here can be extended to a mixturthree or more species.

The kinetic theory of gas mixtures encompasses a sigcant amount of literature~e.g., Refs.@17–27#!. In a mannersimilar to the derivation of the Boltzmann equation forpure system of single species, one can deriveN simultaneousequations for a system ofN species by reducing the appropriate Liouville equation. For the sake of simplicity withouloss of generality, we shall only discuss the Boltzmann eqtions for a binary system,

] t f A1j•“ f A1aA•“j f A5QAA1QAB, ~1!

whereQAB5QBA is the collision term due to the interactiobetween two different species A and B. Obviously, forN-component system, there will beN such equations, eaccontainingN collision terms on the right-hand side. In geeral, the collision term is@23–25#

QAB5E djBdVsABijB2jAi@ f 8A f 8B2 f A f B#. ~2!

Obviously, the equations for a system of multiple speciesmuch more formidable to analyze than the comparable eqtion for a pure system of single species. The first modelobjective is to find a suitable approximation for the collisioterms of Eq.~2!. Many of the kinetic models for gas mixtureare based upon the linearized Boltzmann equation@25,28#.The simplest model for a binary mixture is that in Ref.@18#,

©2002 The American Physical Society01-1

Page 2: Lattice Boltzmann model for binary mixtures

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RAPID COMMUNICATIONS

LI-SHI LUO AND SHARATH S. GIRIMAJI PHYSICAL REVIEW E66, 035301~R! ~2002!

which is an extension of the single-relaxation-time modela pure system~the Bhatnagar-Gross-Krook or BGK mode!@28#.

With the BGK approximation@18,28#, the collision inte-gral Qs§@s,§P(A, B) # becomes

Jss521

ls@ f s2 f s(0)#, Js§52

1

ls§@ f s2 f s§(0)#, ~3!

where f s(0) and f s§(0) are Maxwellians,

f s(0)5rs

~2pRsTs!D/2expF2

~j2us!2

2RsTsG , ~4!

f s§(0)5rs

~2pRsTs§!D/2

expF2~j2us§!

2

2RsTs§G , ~5!

where D is the spatial dimension,Rs5kB /ms is the gasconstant of thes species,kB is the Boltzmann constant, anms is the molecular mass of thes species. There are threadjustable relaxation parameters in the collision terms:ls ,l§ , and ls§5(r§ /rs)l§s . The first Maxwellian f s(0) ischaracterized by the conserved variables of each individspecies: the mass densityrs ~or the number densityns

5rs /ms), the mass velocityus , and temperatureTs ; whilethe second Maxwellianf s§(0), andf §s(0), is characterized byfour adjustable parameters:us§ , u§s , Ts§ , andT§s . Thereare several considerations in determining these arbitraryrameters: simplicity of the resulting theory, accuracy of aproximation, and ease of computation@24#. One salient dif-ference between usingu and T of the mixture in theMaxwellian f s§(0) as opposed to usingus and Ts for thespecies is that the former choice leads to a single-fluid thewhile the latter leads to a two-fluid theory@20,21#. Obvi-ously, when the properties of the two species are vastlyferent, the two-fluid theory is preferred@24#.

The cross-collision termJs§ can be better approximateby expandingf s around the Maxwellian@20#,

Js§52f s(0)

rskBTsFmDcs•~us2u§!1mT

3

2 S cs2

2RsTs21D

3~Ts2T§!2Ms§S cs2

2RsTs21D ~us2u§!

2G , ~6!

wherecs5(j2us) is the peculiar~or thermal! velocity ofthe s species, andMs§ is a function of the density andtemperature, and other parameters@20,27#.

We now consider the following model equations forbinary mixture due to Sirovich@20#:

] t f s1j•“ f s1as•“j f s5Jss1Js§, ~7!

where the self-collision termJss is approximated by theBGK model of Eq.~3!, and the cross-collision termJs§ isgiven by Eq.~6!. Solving Eqs.~7! by means of iteration~cf.Refs.@20,27#!, one first obtains

us5u§5u, Ts5T§5T, ~8!

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f-

f s(0)5 f s§(0)5rs

~2pRsT!D/2expF2

~j2u!2

2RsT G . ~9!

Two salient features of the model equations~7! should beaddressed. First, the cross-collision termJs§ of Eq. ~6! isexact for the Maxwell molecules, whose interaction potenobeys the inverse fifth-power law. Equations~7!, therefore,can be considered to be a model for the Maxwell gas@20#.One immediate consequence of this approximation is thatdiffusion force does not contain a thermal diffusion term,it should. Second, the BGK approximation of the secollision termJss of Eq. ~3! imposes the limitation of a fixedPrandtl number~of unity!. However, both these limitations othe model can be overcome by using the linearized Bomann equation with multiple relaxation times@29–31# and anonlinear approximation of the collision terms@20,21,32#.

We construct a lattice Boltzmann model for a binary mture based on the model equations~7!. In the present workwe will only consider the isothermal case such thatTs5T§

5Ts§5T5const. Consequently, we can also ignore tterms related to thermal effects inJs§ of Eq. ~6! by settingmT5Ms§50, i.e.,

Js§521

tD

r

f s(0)

kBT~j2u!•~us2u§!, ~10!

where the equilibrium functionf s(0) for the s species ischosen to be the Maxwellian equilibrium distribution dpending on the mass velocity of thes speciesus as

f s(0)5rs

~2pRsT!D/2expF2

~j2us!2

2RsT G . ~11!

We can derive the lattice Boltzmann equation by discretizthe model equations~7! as in Refs.@2,3,9,10#:

f as~xi1ead t ,t1d t!2 f a

s~xi ,t !5Vas , ~12!

where the collision termVas5Ja

ss1Jas§2Fa

sd t , and

Jass52 ~1/ts! @ f a

s2 f as(0)#, ~13a!

Jas§52

1

tD

r

f as(eq)

cs2 ~ea2u!•~us2u§!, ~13b!

Fas52wars @~ea•as!/cs

2# , ~13c!

wherers andr§ , andus andu§ are the mass densities anflow velocities for speciess and§, they are the moments othe distribution functions

rs5(a

f as5(

af a

s(0) , ~14a!

rsus5(a

f asea5(

af a

s(0)ea , ~14b!

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Page 3: Lattice Boltzmann model for binary mixtures

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RAPID COMMUNICATIONS

LATTICE BOLTZMANN MODEL FOR BINARY MIXTURES PHYSICAL REVIEW E 66, 035301~R! ~2002!

andr andu are, respectively, the mass density and the bacentric velocity of the mixture:r5rs1r§ , ru5rsus

1r§u§ . The equilibriumf as(0) is a second-order Taylor ex

pansion off s(0) of Eq. ~11! @27#, and has the following formin general@27#:

f as(0)5 f a

s(eq)F111

cs2 ~ea2u!•~us2u!G , ~15a!

f as(eq)5warsF11

~ea•u!

cs2

1~ea•u!2

2cs4

2u2

cs2G , ~15b!

where coefficients$wa% depend on the discrete velocity s$ea%. For the sake of concreteness and simplicity witholosing generality, we shall restrict ourselves to a ninvelocity model on a two-dimensional square lattice~D2Q9model!. In this case,

wa5H 4/9, a50

1/9, a51 –4

1/36, a55 –8.

~16!

The sound speed of the modelcs5c/A3, c5dx /d t , wheredx is the lattice constant of the underlying square lattice. Tforcing term Fa

s is derived in Refs.@9,10#. The collisiontermsJa

ss and Jas§ are so constructed to preserve the lo

mass and momentum conservation laws. The zeroth-first-order moments of these terms are

(a

Jass5(

aJa

§s5(a

Fas50, ~17a!

(a

Jassea50, ~17b!

(a

Ja§sea52 ~1/tD!~rsr§/r! ~us2u§!, ~17c!

(a

Fasea52rsas . ~17d!

The left-hand side of Eq.~12! can be expanded in a Tayloseries ind t up to second order~cf. Refs.@3,27#!, then

d tDa f as1 1

2 d t2Da

2 f as5Ja

ss1Jas§2Fa

sd t , ~18!

whereDa5(] t1ea•“). By means of the Chapman-Enskoanalysis, we can derive the hydrodynamic equations formixture from Eq.~18! ~see details in Ref.@27#!. The massconservation law for each individual species and the mixtcan be derived immediately from Eq.~18!:

] trs1“•~rsus!51

2“•Frsr§

tDr~us2u§!G , ~19!

] tr1“•~ru!50. ~20!

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The mass conservation of each individual species reflectsfact that all the particles, regardless of their identity, are cserved in a collision without chemical reactions.

The Navier-Stokes equation of the mixture is@27#

rs] tus1rsus•“us52“ps1rsns¹2us

2 ~rsr§/tDr! ~us2u§!1rsas ,

~21!

whereps5nskBT5rsRsT is the partial pressure of thesspecies, and the viscosity of thes species is

ns5cs2d t~ts21/2!. ~22!

Equation~21! is consistent with the results in Ref.@21#.The difference between the Navier-Stokes equation

individual species (s and§) leads to

1

tD~us2u§!52

rp

rsr§ds2$@ns¹2us2n§¹

2u§#

1@] tdu1u•“du1du•“u, ~23!

where du5(us2u§), u5 12 (us1u§), p5nkBT is the total

pressure, andn5ns1n§ . The diffusion force

ds5“S ns

n D1nsn§

nr~m§2ms!“ ln p1

rsr§

rp~as2a§!

~24!

includes the effects due to the molar concentration grad“(ns /n), the pressure gradient“p, and external forces (as

anda§).It has already been assumed in the two-fluid equati

that derivatives are slowly varying on the time scale of Mawellization @21#. Thus to the leading order, we have

~us2u§!52 ~n2/nsn§! Ds§ds , ~25!

where the mutual diffusion coefficient in the mixture is

Ds§5@~kBT!/~nmsm§!# tD . ~26!

By definition @26# the mass flux of thes species is

js5rs~us2u!52tDpds .

The continuity equation~19! can be rewritten as

Dtrs1rs“•u1“• js50, ~27!

whereDt5(] t1u•“). By assuming that“•u50, we ob-tain the following advection-diffusion equation for an isthermal mixture:

] trs1u•“rs5“•~tD2 12 !pds . ~28!

Thus the mutual diffusion coefficient given by Eq.~26! mustbe modified for the LBE model,

Ds§* 5@cs2/~nmsm§!#~tD2 1

2 !, ~29!

1-3

Page 4: Lattice Boltzmann model for binary mixtures

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RAPID COMMUNICATIONS

LI-SHI LUO AND SHARATH S. GIRIMAJI PHYSICAL REVIEW E66, 035301~R! ~2002!

to include the second-order discrete effect@33#.Unlike the existing lattice Boltzmann models for bina

mixtures @11–13#, the diffusion coefficients of the presenmodel are independent of the viscosity. The diffusion coecients only depend on the parametertD and other relevanphysical properties of the mixture. Also, positive and netive (tD21/2) correspond to the miscible and immiscibmixtures, respectively. We have verified, Eq.~29!, and ob-served the phase separation when (tD21/2),0 in numericalsimulations@34#.

We have constructed a lattice Boltzmann model for binmixtures with several important features. The lattice Bolmann model is directly derived from the kinetic model equtions using a formal discretization procedure. The lattmodel thus inherits the sound physics and mathematical rincumbent in kinetic theory. This is in contrast to previolattice Boltzmann models for mixtures@11–13#, which arenot directly based on the fundamental physics of kineequations. These models rely on fictitious ‘‘interaction@11,12# or ad hoc‘‘free energies’’@13# to produce the requi-site mixing. These nonphysical effects present a further prlem since they are not easily amenable to mathemaanalysis@9,10#. The heuristic elements of the previous lattiBoltzmann models@11–13# have been eliminated, resultinin a physically justifiable model that is simple to compuFurther, due to the direct connection to kinetic theory,derivation of the hydrodynamic equations associated withlattice Boltzmann model is significantly simplified and redered mathematically more rigorous.

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The second important feature of the present work is tthe model is based upon a two-fluid theory of binary mtures. The previous models@11–13,22#, on the other handare derived from a simpler, but restrictive, one-fluid theoIn the single-fluid models one is constrained to use theadhoc ‘‘equilibrium velocity’’ @11,12,22#

u(eq)5~t§rsus1tsr§u§!/~t§rs1tsr§!

in the equilibrium f as(0) in order to satisfy the local conser

vation laws. As a result, the viscosity and diffusion coefcient cannot be independently adjusted without exertingtitious interactions orad hoc free energies. The analysis othese models becomes unnecessarily tedious and cumsome @11,12#. The models with free energies@13# do notyield correct hydrodynamic equations@9,10#. Furthermore,these models are single-fluid models which cannot beplied to mixtures of species with vastly different propertieIn the present two-fluid model, the diffusion coefficientindependent of the viscosity, and is determined by the paretertD and other relevant physical properties of the mixtuThe model is capable of simulating either miscible or immcible fluids by changing the sign of (tD21/2) @34#.

L.-S.L. is grateful to Professor V. Sofonea for sharing R@22# before its publication, and to Professor D. d’Humie`resfor his insightful critical comments. This work is partiallsupported by the U.S. Air Force Office for Scientific Rsearch~AFOSR! under Grant No. F49620-01-1-0142.

n

t

A

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