Chapter 7

Power law fluids

Abstract

We study non-stationary motions of power law fluids in a bounded Lipschitz domain. Based on the solenoidal Lipschitz truncation from Chapter 6 we show the existence of weak solutions to the generalized Navier–Stokes system for p>2dd+2Image. Our approach completely avoids the appearance of the pressure function.

Keywords

Generalized Newtonian fluids; Power law fluids; Non-stationary flows; Weak solutions; Existence theory; Solenoidal Lipschitz truncation

The flow of a homogeneous incompressible fluid in a bounded body GRdImage (d=2,3Image) during the time interval (0,T)Image is described by the following set of equations

{ρtv+ρ(v)v=divSπ+ρfinQ,divv=0inQ,v=0onG,v(0,)=v0inG,

Image (7.0.1)

see for instance [23]. Here the unknown quantities are the velocity field v:QRdImage and the pressure π:QRImage. The function f:QRdImage represents a system of volume forces and v0:GRdImage the initial datum, while S:QRd×dsymImage is the stress deviator and ρ>0Image is the density of the fluid. Equation (7.0.1)1 and (7.0.1)2 describe the conservation of balance and the conservation of mass respectively. Both are valid for all homogeneous incompressible liquids and gases. Very popular among rheologists is the power law model

S(ε(v))=ν0(1+|ε(v)|)p2ε(v)

Image (7.0.2)

where ν0>0Image and p(1,)Image, cf. [13,23]. We recall that the case p[32,2]Image covers many interesting applications. For further comments on the physical background we refer to Section 1.4.

The first mathematical results concerning (7.0.1), (7.0.2) were achieved by Ladyshenskaya and Lions for p3d+2d+2Image (see [106] and [109]). They show the existence of a weak solution in the space

Lp(0,T;W1,p0,div(G))L(0,T;L2(G)).

Image

The weak formulation reads as

QS(ε(v)):ε(φ)dxdt=QfφdxdtQ(v)vφdxdt+Qvtφdxdt+Gv0φ(0)dx

Image

for all φC0,div([0,T)×G)Image with S given by (7.0.2). In this case it follows from parabolic interpolation that (v)vvL1(Q)Image. So the solution is also a test-function and the existence proof is based on monotone operator theory and compactness arguments. These results have been improved by Wolf to the case p>2d+2d+2Image via LImage-truncation. Wolf's result was improved to p>2dd+2Image in [65] by the Lipschitz truncation method. Under this restriction on p we have vvL1(Q)Image. Hence we can test by Lipschitz continuous functions. So we have to approximate v by a Lipschitz continuous function vλImage which is quite challenging in the parabolic situation. For further historical comments we refer to Section 5.3.

We will revise the existence proof from [65]. Using the solenoidal Lipschitz truncation constructed in section 6.1 we can completely avoid the appearance of the pressure and therefore highly simplify the method. For simplicity we only consider the case d=3Image but all results of this chapter extend to the general case. The main result is as follows.

Theorem 7.0.27

Let p>65Image, fLp(Q)Image and v0L2(G)Image. Then there is a solution vL(0,T;L2(G))Lp(0,T;W1,p0,div(G))Image to

QS(ε(v)):ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx

Image (7.0.3)

for all φC0,div([0,T)×G)Image.

Remark 7.0.12

It is still open whether there exists a weak solution in the case 1<p65Image. Unlike the stationary case the convective term vvImage is always well-defined independent of the dimension. However, it is not clear how to obtain the compactness of the approximated velocity vmImage in L2(Q)Image. This seems to be necessary to identify the limit of vmvmImage with vvImage.

In the next section we show the existence of weak solutions to (7.0.3) in case p>115Image. Due to this bound on q the space of test functions coincides with the space where the solution is constructed and the convective term becomes a compact perturbation. The result of Section 7.1 will later be used to obtain an approximate solution in the proof of Theorem 7.0.27, see Section 7.2.

7.1 The approximated system

Throughout this section we assume that SC0(Rd×dsym)C1(Rd×dsym{0})Image and for some κ0Image

λ(κ+|ε|)q2|σ|2DS(ε)(σ,σ)Λ(κ+|ε|)q2|σ|2

Image (7.1.4)

for all ε,σRd×dsym{0}Image with some positive constants λ,ΛImage.

Theorem 7.1.28

Assume (7.1.4) with q>115Image, fLq(Q)Image and v0L2(G)Image. Then there is a solution vL(0,T;L2(G))Lq(0,T;W1,q0,div(G))Image to

QS(ε(v)):ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx

Image (7.1.5)

for all φC0,div([0,T)×G)Image.

Proof

We mainly follow the ideas of [111], chapter 5. We separate space and time and approximate the corresponding Sobolev space by a finite dimensional subspace. From [111] we infer the existence of a sequence (λk)RImage and a sequence of functions (wk)Wl,20,div(G)Image, lNImage, such that

i) wkImage is an eigenvector to the eigenvalue λkImage of the Stokes-operator in the sense that

wk,φWl,20=λkGwkφdxfor allφWl,20,div(G),

Image

ii) Gwkwmdx=δkmImage for all k,mNImage,

iii) 1λ1λ2...Image and λkImage,

iv) wkλk,wmλmWl,20=δkmImage for all k,mNImage,

v) (wk)Image is a basis of Wl,20,div(G)Image.

We choose l>1+d2Image so that Wl,20(G)W1,(G)Image. We are looking for an approximate solution vNImage of the form

vN=Nk=1ckNwk

Image

where CN=(ckN)Nk=1:(0,T)RNImage. We will construct CNImage so that vNImage is a solution to

GS(ε(vN)):ε(wk)dx=GtvNwkdx+GvNvN:ε(wk)dx+Gfwkdx,k=1,...,NvN(0,)=PNv0.

Image (7.1.6)

Here PNImage is the L2(G)Image-orthogonal projection into XN:=span{w1,...,wN}Image, i.e.

PN(u):=Nk=1(Gwkudx)wk.

Image

On account of the properties of (wk)Image equation (7.1.6) is equivalent to

dckNdt=GS(CNε(wN)):ε(wk)dx+l,jclNcjNGwlwj:wkdx+Gfwkdx,k=1,...,NckN(0)=Gwkv0dx,k=1,...,N.

Image (7.1.7)

Since the right-hand-side is not globally Lipschitz continuous in CNImage the Picard–Lindelöff Theorem only gives a local solution which does not suffice for our purpose. The following lemma helps (see [143], chapter 30).

Lemma 7.1.1

Consider the ODE

y=F(t,y),y(0)=y0,

Image

where F is continuous in t and locally Lipschitz continuous in y. Assume that every possible solution satisfies

|y(t)|Cfor allt[0,T].

Image (7.1.8)

Then there is a global solution on [0,T]Image.

So we need to show boundedness of CNImage in t (assuming its existence). Therefore we multiply the k-th equation of (7.1.6) by ckNImage and sum with respect to k. Using GvNvN:vNdxImage we obtain

12ddtG|vN|2dx+G|vN|qdx=GfvNdx.

Image

Integration over [0,s]Image with 0<sTImage implies for all κ>0Image

12G|vN(s,)|2dx+λQs(|vN|q1)dxQsfvNdxdtc(κ)Qs|f|qdxdt+κs0G|vN|qdxdtc(κ)Qs|f|qdxdt+κs0G|vN|qdxdt,

Image

where we used the inequalities of Korn, Young and Poincaré as well as (7.1.4). Choosing κ small enough leads to

supt(0,T)G|vN(t,)|2dx+Q|vN|qdxdtcQ(|f|q+1)dxdt

Image (7.1.9)

which also implies (7.1.8). Lemma 7.1.1 shows the existence of a solution vNImage to (7.1.6). Moreover we established with (7.1.9) a useful a priori estimate. Passing to a subsequence implies

vN:vinLq(0,T;W1,q0,div(G)),

Image (7.1.10)

vNvinL(0,T;L2(G)).

Image (7.1.11)

In order to pass to the limit in the convective term we need compactness of vNImage. We obtain from (7.1.6)

GtvNφdx=GtvNPlNφdx=GS(ε(vN)):ε(PlNφ)dx+GvNvN:ε(PlNφ)dx+GF:PlNφdx=:GHN:PlNφdx

Image

for all φWl,20,div(G)Image (setting F:=Δ1fImage). Here PlNImage denotes the orthogonal projection into XNImage with respect to the Wl,20(G)Image inner product. We have uniformly in N

HNLq0(Q),q0=:min{56q,q}>1,

Image (7.1.12)

as a consequence of (7.1.9), (7.1.4) and FLq(Q)Image (which follows from fLq(Q)Image). On account of (7.1.12) and Sobolev's embedding (recall the choice of l) we obtain

tvNLq0(0,T;Wl,2div(G))=tvNLq0(0,T;Wl,20,div(G))=supφLq0(0,T;Wl,20,div(G))1T0GtvNφdxdt=supφLq0(0,T;Wl,20,div(G))1T0GHN:PlNφdxdtsupφLq0(0,T;Wl,20,div(G))1(Q|HN|q0dxdt)1q0(Q|PNlφ|q0dxdt)1q0

Image

and finally

tvNLq0(0,T;Wl,2div(G))csupφLq0(0,T;Wl,20,div(G))1PlNφLq0(0,T;L(G))csupφLq0(0,T;Wl,20,div(G))1PlNφLq0(0,T;Wl,20,div(G))c.

Image (7.1.13)

Combining (7.1.9) and (7.1.13) with the Aubin–Lions compactness Theorem (see Theorem 5.1.23) shows vNvImage in L2(0,T;L2div(G))Image (recall that q>115Image). This and a parabolic interpolation imply

vNvNvvinLs(Q)

Image (7.1.14)

for all s<56pImage. Due to (7.1.9) and (7.1.4) we know that S(ε(vN))Image is bounded in Lq(G)Image thus

S(ε(vN))˜SinLq(Q).

Image (7.1.15)

Passing to the limit in (7.1.6) leads to

Q˜S:ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx

Image (7.1.16)

for all φC0,div([0,T)×G)Image. Note that the class of test-functions which factorize in space and time is dense, see Lemma 5.1.2. In (7.1.16) we also used (for kNImage and gC0[0,T)Image)

QtvNgwkdxdt=GPNv0wkdxg(0)T0GvNwktgdxdt

Image

and PNv0v0Image in L2(G)Image.

Finally we need to show that

˜S=S(ε(v))

Image (7.1.17)

holds. We first investigate the time derivative of v. On account of q>115Image the mapping

φQvv:ε(φ)dxdt

Image

belongs to Lq(0,T;W1,qdiv(G))Image. The same is true for

φQ˜S:ε(φ)dxdt,φQfφdxdt.

Image

Thus we have tvLq(0,T;W1,qdiv(G))Image by (7.1.16) and

Q˜S:ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdtT0tv,vdt

Image (7.1.18)

for all φLq(0,T;W1,q0,div(G))Image. Especially v is an admissible test function. We claim that

vCw([0,T];L2(G)).

Image (7.1.19)

Hence we have v(0)=v0Image and v(t)Image is uniquely determined for every t[0,T]Image. Sobolev's Theorem for Bochner spaces leads to

vC([0,T];W1,qdiv(G)).

Image (7.1.20)

Let (tn)[0,T]Image for which tnt0Image and v(tn,)L2(G)Image for all nNImage. Then v(tn,)Image is bounded in L2(G)Image by (7.1.9) thus

v(tn,):winL2(G).

Image (7.1.21)

We have as a consequence of (7.1.20)

v(tn,)v(t0,)inW1,q0(G).

Image (7.1.22)

This leads to w=v(t0,)Image and (7.1.21) implies (7.1.19).

We apply monotone operator theory to show (7.1.17). On account of

Q(S(ε(vN))S(ε(v))):ε(vNv)dxdt=Q(˜SS(ε(vN))):ε(v)dxdtQS(ε(v)):ε(vNv)dxdt+Q(S(ε(vN)):ε(vN)dxdtQ˜S:ε(v)dxdt

Image

we obtain from (7.1.10) and (7.1.15)

Q(˜SS(ε(vN))):ε(v)dxdt0,N,QS(ε(v)):ε(vNv)dxdt0,N.

Image

Due to (7.1.6) and (7.1.18) we have

Q(S(ε(vN)):ε(vN)dxdtQ˜S:ε(v)dxdt=Qf(vNv)dxdt+Q(vNvN:ε(vN)vv:ε(v))dxdtQtvNvNdxdt+T0tv,vdt=:(I)+(II)+(III).

Image

We deduce from (7.1.10), (7.1.14) and (7.1.15) that

limN(I)=limN(II)=0.

Image

For the integral involving the convective term we used the assumption q>115Image. Finally, we obtain

(III)=12G|vN(0)|2dx12G|v(0)|2dx+12G|v(T)|2dx12G|vN(T)|2dx=12G|vN(T)v(T)|2dxGvN(T)v(T)dx+G|v(T)|2dx+12G|PNv0|2dx12G|v0|2dx.

Image

We infer from (7.1.10) and the continuity of PNImage that limsupN(III)0Image (here we took into account (7.1.19) and used vN(T)v(T)Image in L2(G)Image as a consequence of (7.1.9) and passing to a subsequence) thus

Q(S(ε(vN))S(ε(v))):ε(vNv)dxdt0,N.

Image

Monotonicity of S (which follows from (7.1.4)) implies (7.1.17).  □

Corollary 7.1.1

Under the assumptions of Theorem 7.0.27 there is a function ˜πC0w([0,T];Lq0(G))Image for which

QS(ε(v)):ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx+Q˜πtdivφdxdt

Image

for all φC0([0,T)×G)Image.

Proof

We follow [140], Thm. 2.6. Let φ(t,x)=g(t)ψ(x)Image with gC0(0,T)Image and ψC0,div(G)Image. Setting F:=Δ1fLq(Q)Image we have

Qvψgdxdt=QS(ε(v)):ψgdxdtQvv:ψgdxdtQF:ψgdxdt=:QQ:ψgdxdt

Image

which is equivalent to

T0(Gvψdx)gdt=T0(GQ:ψdx)gdt.

Image (7.1.23)

If we define

α(t):=Gv(t,)ψdx,β(t):=GQ:ψdx,

Image

we obtain from (7.1.23)

T0αgdt=T0βgdt

Image (7.1.24)

for all gC0(0,T)Image. Since α and β belong to L1(0,T)Image this implies α=βImage. Hence the following holds

α(t)=α(0)+t0β(s)ds,t(0,T).

Image (7.1.25)

Now we define

˜Q(t):=t0Q(s)ds

Image

and follow from (7.1.25)

G((v(t,)v(0,))ψ+˜Q(t):ψ)dx=0

Image

for all ψW1,q0,div(G)Image. Here we took into account ˜Q(t)Lq(G)Image which is a consequence of q>115Image and (7.1.4). De Rahm's Theorem implies the existence of ˜π(t)Lq0(G)Image for which

G((v(t,)v(0,))ψ+˜Q:ψ)dx=G˜π(t)divψdx

Image (7.1.26)

for all ψW1,q0(G)Image. For uLq(G)Image we set ψ=BogG(u(u)G)W1,q0,div(G)Image so that

G˜π(t)udx=G˜π(t)(divψ+(u)G)dx=G˜π(t)divψdx=G((v(t,)v(0,))ψ+˜Q(t):ψ)dx.

Image

Due to vCw([0,T];L2(G))Image (see (7.1.19)) and ˜QC([0,T];Lq(G))Image we obtain

limtt0G˜π(t)udx=G˜π(t0)udx

Image

for all uLq(G)Image, hence ˜πCw([0,T];Lq(G))Image. Equation (7.1.25) finally implies

QS(ε(v)):φdxdt=Qvv:φdxdt+Qfφdxdt+Qvtφdxdt+Gv0φ(0,)dx+Q˜πtdivφdxdt

Image

for all φ of the class

Y:=span{gψ,gC0[0,T),ψC0(G)}

Image

which is dense (see Lemma 5.1.1).  □

Remark 7.1.13

The “original” pressure term π can be obtained by setting π:=t˜πImage. But without further information about the regularity with respect to time of the quantities involved in the equation it only exists in the sense of distributions.

7.2 Non-stationary flows

In this section we show how the solenoidal Lipschitz truncation can be used to simplify the existence proof for weak solutions to the power law model for non-Newtonian fluids. We are able to work completely in the pressure free formulation and establish the existence of a solution vL(0,T;L2(G))Lp(0,T;W1,p0,div(G))Image to

QS(ε(v)):ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx

Image (7.2.27)

for all φC0,div([0,T)×G)Image.

Proof

We start with an approximate system whose solution is known to exist. Let vmLq(0,T;W1,q0,div(G))L(0,T;L2(G))Image be a solution to

QS(ε(v)):ε(φ)dxdt+1mQ|ε(v)|q2ε(v):ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx

Image (7.2.28)

for all φC0,div([0,T)×G)Image, where q>max{115,p}Image.

The existence of vmImage follows from Theorem 7.1.28. Since we are allowed to test with vmImage, we find

12vm(t)2L2+t0GS(ε(vm)):ε(vm)dxdσ+1mt0G|ε(vm)|qdxdσ=12v02L2+t0Gf:vmdxdσ,

Image (7.2.29)

for all t(0,T)Image. By coercivity and Korn's inequality we obtain

QS(ε(vm)):ε(vm)dxdtc(Q|vm|pdxdt1)

Image

thus

m1/qε(vm)q,Q+vm2L(0,T;L2)+vmp,Qc.

Image (7.2.30)

Hence we find a function vLp(0,T;W1,p0,div(G))L(0,T;L2(G))Image for which (passing to a subsequence)

vmvinLp(Q),vmvinL(0,T;L2(G)),1m|ε(vm)|q2ε(vm)0inLq(Q).

Image (7.2.31)

Since S(ε(vm))Image is bounded in Lp(Q)Image by (7.2.30), there exist ˜SLp(Q)Image with

S(ε(vm))˜SinLp(Q).

Image (7.2.32)

Let us have a look at the time derivative. From equation (7.2.28) we get the uniform boundedness of tvmImage in Lp(0,T;W3,2div(G))Image and weak convergence of tvmImage to tvImage in the same space (for a subsequence). This shows by using the compactness of the embedding W1,p0,div(G)L2σ2div(G)Image for some σ2>1Image (which follows from our assumption p>65Image, resp. p>2nn+2Image) and the Aubin–Lions theorem (see Theorem 5.1.23) that vmvImage in Lσ(0,T;L2σ2div(G))Image. This and the boundedness in L(0,T;L2(G))Image imply that for some σ>1Image

vmvinLs(0,T;L2σ(G))for alls<.

Image (7.2.33)

As a consequence we have

vmvmvvinLs(0,T;Lσ(G))for alls<.

Image (7.2.34)

Overall, we get our limit equation

Q˜S:ε(φ)dxdt=Qfφdxdt+Qvv:ε(φ)dxdt+Qvtφdxdt+Gv0φ(0)dx

Image (7.2.35)

for all φC0,div([0,T)×G)Image.

The entire forthcoming effort is to prove ˜S=S(ε(v))Image almost everywhere. We start with the difference of the equation of vmImage and the limit equation which is

Q(vmv)tφdxdt+Q(S(ε(vm))˜S):φdxdt=Q(vmvmvv+m1|ε(vm)|q2ε(vm)):φdxdt

Image (7.2.36)

for all φC0,div([0,T)×G)Image. We define um:=vmvImage. Then by (7.2.33)

um0inLp(0,T;W1,p0,div(G)),um0inL2σ(Q),um0inL(0,T;L2(G)).

Image (7.2.37)

Thus, we can write (7.2.36) as

Qumtφdxdt=QHm:φdxdt

Image (7.2.38)

for all φC0,div(Q)Image, where Hm:=H1m+H2mImage with

H1m:=S(ε(vm))˜S,H2m:=vmvmvv+m1|ε(vm)|q2ε(vm).

Image

Moreover, (7.2.31) and (7.2.33) imply

H1mpc

Image (7.2.39)

as well as

H2m0inLσ(Q).

Image (7.2.40)

Now take any cylinder Q0(0,T)×GImage. Now, (7.2.37), (7.2.38), (7.2.39) and (7.2.40) ensure that we can apply Corollary 6.1.4. In particular, for suitable ζC0(16Q0)Image with χ18Q0ζχ16Q0Image Corollary 6.1.4 implies

limsupm|(H1m:(vmv))ζχOm,kdxdt|c2k/p.

Image

In other words

limsupm|((S(ε(vm))˜S):(vmv))ζχOm,kdxdt|c2k/p.

Image

Now, the boundedness of S(ε(v))Image and ˜SImage in Lp(16Q0)Image and Theorem 6.1.25 (h) and (g) give

limsupm|((˜SS(ε(v))):(vmv))ζχOm,kdxdt|c2k/p.

Image

This and the previous estimate imply

limsupm|((S(ε(vm))S(ε(v))):(vmv))ζχOm,kdxdt|c2k/p.

Image

Let θ(0,1)Image. Then by Hölder's inequality and Theorem 6.1.25 (g)

limsupm((S(ε(vm))S(ε(v))):(vmv))θζχOm,kdxdtc|Om,k|1θc2(1θ)kp.

Image

This, the previous estimate and Hölder's inequality lead to

limsupm((S(ε(vm))S(ε(v))):(vmv))θζdxdtc2(1θ)kp.

Image

For kImage the right-hand-side converges to zero. Now, the monotonicity of S implies that S(ε(vm))S(ε(v))Image a.e. in 18Q0Image. This concludes the proof of Theorem 7.0.27.  □

Remark 7.2.14

As done in Corollary 7.1.1 the pressure can be reconstructed. Here we have ˜πLσ(Q)Image.

References

[13] G. Astarita, G. Marrucci, Principles of Non-Newtonian Fluid Mechanics. London–New York: McGraw–Hill; 1974.

[23] R. Bird, R. Armstrong, O. Hassager, Dynamics of Polymeric Liquids, vol. 1: Fluid Mechanics. second edition John Wiley; 1987.

[65] L. Diening, M. Růžička, J. Wolf, Existence of weak solutions for unsteady motions of generalized Newtonian fluids, Ann. Sc. Norm. Super. Pisa, Cl. Sci. (5) 2010;IX:1–46.

[106] O.A. Ladyzhenskaya, The Mathematical Theory of Viscous Incompressible Flow. New York: Gorden and Breach; 1969.

[109] J.L. Lions, Quelques méthodes de résolution des problèmes aux limites non linéaires. Paris: Dunod, Gauthier-Villars; 1969.

[111] J. Málek, J. Necǎs, M. Rokyta, M. Růžička, Weak and Measure Valued Solutions to Evolutionary PDEs. London–Weinheim–New York: Chapman & Hall; 1996.

[140] J. Wolf, Existence of weak solutions to the equations of nonstationary motion of non-Newtonian fluids with shear-dependent viscosity, J. Math. Fluid Mech. 2007;9:104–138.

[143] E. Zeidler, Nonlinear Functional Analysis II/B–Nonlinear Monotone Operators, vol. 120. Berlin–Heidelberg–New York: Springer Verlag; 1990.

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