Abstract
The full quasistatic thermomechanical system of PDEs, describing water diffusion with the possibility of freezing and melting in a visco-elasto-plastic porous solid, is studied in detail under the hypothesis that the pressure-saturation hysteresis relation is given in terms of the Preisach hysteresis operator. The resulting system of balance equations for mass, momentum, and energy coupled with the phase dynamics equation is shown to admit a global solution under general assumptions on the data.
Keywords: Porous media, Phase transitions, Hysteresis
Introduction
A model for fluid flow in partially saturated porous media with thermomechanical interaction was proposed and analyzed in [2, 4]. The model was subsequently extended in [15] by including the effects of freezing and melting of the water in the pores. Typical examples in which such situations arise are related to groundwater flows and to the freezing-melting cycles of water sucked into the pores of concrete. Due to the specific volume difference between water and ice, this process produces important pressure changes and represents one of the main reasons for the degradation of construction materials in buildings, bridges, and roads. The model of [15] still neglects the influence of changes of microstructure, as for example the breaking of pores, but the main thermomechanical interactions between the state variables are taken into account.
The model is based on the assumption that slow diffusion of the fluid through the porous solid is a dominant effect, so that the Lagrangian description is considered to be appropriate. It is assumed that volume changes of the solid matrix material are negligible with respect to the pore volume evolution during the process. The pores are filled with a mixture of and gas, and itself is a mixture of the liquid (water) and the solid phase (ice). That is, in addition to the standard state variables like capillary pressure, displacement, and absolute temperature, we need to consider the evolution of a phase parameter representing the relative proportion of water in the part and its influence on pressure changes due to the different mass densities of water and ice.
The resulting system consists of mechanical balance equation for the deformations of the solid body, mass balance equation based on the Darcy law for the fluid diffusion with interaction terms similar to the Biot system studied, e. g., in [20], a differential inclusion for the phase fraction of relaxed Stefan type as in [22] and governing the water-ice phase transition, and the energy balance equation derived from the first and the second principles of thermodynamics with heat sources due to viscosity, plasticity, diffusion, and phase transition.
The present paper develops the ideas of [15] in the sense that the effects of capillary hysteresis, which is assumed to be of Preisach type in agreement with the results of [6], shear stresses, and elastoplasticity are considered in full generality. This represents an enormous increase of mathematical complexity. While the momentum balance in the shear-stress-free case in [15] can be reduced to an ODE, here, we need to exploit deeper results from the theory of PDEs to control the interactions between individual components of the system, as well as a generalized Moser iteration scheme from [8]. Additional difficulties are due to the effects of the three heat sources produced by mechanical hysteresis dissipation (plasticity, capillarity, phase transitions).
The paper is divided into five sections. In the next Sect. 1, we briefly recall the principles of the model introduced in [15], taking into account capillary hysteresis and elastoplastic hysteresis effects as in [4]. Section 2 is devoted to a short survey of the Preisach hysteresis model. In Sect. 3, we state the mathematical problem, the main assumptions on the data, and the main Theorem 3.3, the proof of which is split into Sects. 4 and 5. The steps of the proof are as follows. In Sect. 4, we first cut off some of the pressure and temperature dependent terms in the system by means of a cut-off parameter R, regularize the mass balance equation with a fourth order term depending on an additional small regularizing parameter , solve the related problem employing a Galerkin approximation scheme, and pass to the singular limit in the regularizing term. Then, in Sect. 5, we derive a series of R-independent estimates like the energy estimate, the so-called Dafermos estimate (with negative small powers of the temperature), Moser-type and then higher-order estimates for the capillary pressure and for the temperature which allow us in Sect. 6 to pass to the limit in the cut-off system as , which will conclude the proof of the existence result.
The model
Consider a bounded domain of class filled with an elastoplastic solid matrix material with pores containing a mixture of and gas, where we assume that may appear in one of the two phases: water or ice. We state the balance laws in referential (Lagrangian) coordinates. We have in mind construction materials where large deformations are not expected to occur. This hypothesis enables us to reduce the complexity of the problem and assume that the deformations are small in order to avoid higher degree nonlinearities. We denote for and time
p(x, t) ... capillary pressure;
u(x, t) ... displacement vector in the solid;
... linear strain tensor, ;
... absolute temperature;
... relative amount of water in the part.
The model derived in [15] aims at coupling the effects of capillarity, interaction between a deformable solid matrix material and in the pores which may undergo water-ice phase transitions, and energy exchange between the individual components of the system. Hysteresis is included following the modeling section of [4]. The full system consists of equations describing mass balance (1.1), mechanical equilibrium (1.2), energy balance (1.3) and phase evolution (1.4) in the form
| 1.1 |
| 1.2 |
| 1.3 |
| 1.4 |
We refer to [15] for the details of the physical arguments. Let us just mention that the mass balance (1.1) is derived from Darcy’s law, and is the specific liquid mass flux. The constant is the ratio between ice and water mass densities, whereas the symbol G describes the pressure–saturation curve and, following [2, 4], is of the form
Here f is a bounded monotone function satisfying Hypothesis 3.1 (vi) below, whereas is the Preisach hysteresis operator from Sect. 2. The momentum balance (1.2) is derived by assuming that the process is quasi-static, so that the inertia term is negligible. Here is a positive definite viscosity matrix, P the constitutive operator of elastoplasticity defined below in (3.6), is the thermal expansion coefficient, is the melting temperature at standard pressure and g is a given volume force (gravity, e. g.). The term represents the pressure component due to the phase transition. Finally, the energy balance (1.3) and the inclusion (1.4) for the evolution of the phase parameter are derived from the principles of thermodynamics with the aid of the energy balance for both the plasticity and the pressure–saturation operator
| 1.5 |
where and are the potential and dissipation operators, and is a seminorm in the space of symmetric tensors. In (1.3), is the caloric component of the internal energy, is the heat conductivity coefficient, L is the latent heat, is the indicator function of the interval [0, 1] and is its subdifferential, is the phase relaxation time (which we assume to explicitly depend on both and for technical reasons).
Note that the values of G have to be naturally confined between 0 and 1, so that the system is degenerate in the sense that we do not control a priori the time derivatives of p in (1.1). Another difficulty is related to the lack of spatial regularity of . The temperature field is problematic as well: Eq. (1.3) contains high order heat source terms, which are difficult to handle and prevent the temperature from being regular.
We complement the system (1.1)–(1.4) with initial conditions
| 1.6 |
and boundary conditions
| 1.7 |
where is a given outer pressure, is a given outer temperature, is the permeability of the boundary and is the heat conductivity of the boundary.
The solution to (1.1)–(1.4) was only constructed in [15] under the assumption that shear stresses in the momentum balance Eq. (1.2) as well as all hysteresis effects are neglected. Then (1.2) turns into an ODE for the relative volume change , which considerably simplifies the analysis. Here we prove existence of a global solution for the full problem under suitable hypotheses.
Hysteresis in capillarity phenomena
The operator G is considered as a sum
| 2.1 |
where f is a monotone function satisfying Hypothesis 3.1 (vi) in Sect. 3 below, and is a Preisach operator that we briefly describe here.
For a given input function and a memory parameter we define the scalar function as the solution of the variational inequality
| 2.2 |
with prescribed initial condition
| 2.3 |
We have indeed for all the initial bound
| 2.4 |
The mapping which with each associates the solution of (2.2)–(2.3) is called the play. This concept goes back to [10], and the proof of the following statements can be found e.g. in [12].
Proposition 2.1
For each , the mapping is Lipschitz continuous and admits a Lipschitz continuous extension to in the sense that for every and every we have
| 2.5 |
Moreover, for each , the energy balance equation
| 2.6 |
and the identity
| 2.7 |
hold a. e. in (0, T).
Given a nonnegative function , called the Preisach density, we define the Preisach operator as a mapping that with each associates the integral
| 2.8 |
Hence,
| 2.9 |
for all and all , and we assume
| 2.10 |
From (2.6)–(2.8) we immediately deduce the Preisach energy identity
| 2.11 |
provided we define the Preisach potential and the dissipation operator by the integrals
| 2.12 |
The energy identity in (1.5) then holds with the choice
| 2.13 |
With the notation
| 2.14 |
we can also write
| 2.15 |
thus separating the hysteretic from the non-hysteretic part.
For our purposes, we adopt the following hypothesis on the Preisach density.
Hypothesis 2.2
There exists a function such that for a. e. we have and
A straightforward computation shows that (and, consequently, G) are Lipschitz continuous in C[0, T]. Indeed, by (2.5) and Hypothesis 2.2 we obtain for and that
| 2.16 |
Moreover, the Preisach potential is continuous from to , as it holds
| 2.17 |
From Hypothesis 2.2 and identity (2.7) for the play we also obtain
| 2.18 |
The Preisach operator admits also a family of “nonlinear” energies. As a consequence of (2.7), we have for a. e. t the inequality
hence
for every nondecreasing function . Hence, for every absolutely continuous input p, a counterpart of (2.11) in the form
| 2.19 |
holds with a modified potential
| 2.20 |
This is related to the fact that for every absolutely continuous nondecreasing function , the mapping is also a Preisach operator, see [13].
Statement of the problem
We introduce the spaces
| 3.1 |
for some that will be specified below in Theorem 3.3. Taking into account the boundary conditions (1.7), we consider (1.1)–(1.4) in variational form
| 3.2 |
| 3.3 |
| 3.4 |
| 3.5 |
for a. e. and all test functions , and . Note that we split the capillary hysteresis terms in hysteretic and non-hysteretic part according to (2.1), (2.13)–(2.15). This is done in view of the regularization performed in Sect. 4, where only the non-hysteretic part will be affected by the cut-off.
We assume the following hypotheses to hold.
Hypothesis 3.1
There exist constants , , such that
-
(i)
, , are constant symmetric positive definite fourth order tensors such that , , for all ;
-
(ii)
is a given function and there exists a function such that ;
-
(iii)
, a. e. and ; , a. e. and ;
-
(iv)
and , , , a. e.;
-
(v)
, , , a. e., , a. e.
We also assume that there exist constants , , , , , , , , such that the nonlinearities satisfy the following conditions:
-
(vi)
where with from (2.10) is a continuously differentiable function, for all , and is the Preisach operator from Sect. 2 with density function satisfying Hypothesis 2.2 and with potential and dissipation as in (2.12);
-
(vii)
is a continuous function, for all ;
-
(viii)
is a continuously differentiable function, is such that for all ;
-
(ix)
is a continuous function, for all ;
-
(x)
is a continuous function, for all ;
-
(xi)
is the constitutive operator of elastoplasticity with dissipation operator defined below in (3.6)–(3.9).
Remark 3.2
In this remark we comment on the more technical hypotheses.
-
(vi)
The growth condition for f is in agreement with the physical requirement that has to degenerate when . The specific form of the lower bound will play a substantial role in the Moser iteration argument.
-
(viii)
The growth condition for will be of fundamental importance in Sect. 5.6 where, in order to estimate in with an exponent , we will need a higher integrability (in space) for the temperature than simply .
-
(ix)The tangled bound
for the growth exponent of the function is required in Sect. 5.9, where we apply an iterative method in order to derive higher order estimates for the temperature. -
(x)
The dependence of the relaxation coefficient on both and is uncommon but crucial for obtaining estimates (4.34) and (5.45).
We model the elastoplasticity following [17]. We assume that a convex subset with nonempty interior representing the admissible plastic stress domain is given in the space of symmetric tensors, and that the constitutive relation between the strain tensor and the stress tensor involves two fourth order tensors (the kinematic hardening tensor) and (the elasticity tensor). We define the constitutive operator P by the formula
| 3.6 |
where is the solution of the variational inequality
| 3.7 |
for a given , where is the orthogonal projection onto Z. The variational inequality (3.7) has a unique solution and the solution mapping
is strongly continuous, see [12]. It holds
| 3.8 |
The energy potential and the dissipation operator associated with P are defined by the formula
| 3.9 |
Let denote the Minkowski functional of the polar set to Z. The energy identity
| 3.10 |
where is a seminorm in , and the inequalities
| 3.11 |
hold for all inputs .
The operator P can be extended to a continuous operator in the space in the sense that if is a sequence in , then
| 3.12 |
For two inputs we denote , . Then
| 3.13 |
| 3.14 |
with a constant C depending only on and .
For inputs we obtain from (3.14) similarly as in [4, Formula (6.25)] the inequality
| 3.15 |
The main result of the paper reads as follows.
Theorem 3.3
Let Hypothesis 3.1 hold. Then there exists a solution to the system (3.2)–(3.5) with initial conditions (1.6) with the regularity
The reason why we do not specify the precise value of here is that it relies on a certain number of intermediate computations that cannot be detailed at this stage. The proof of Theorem 3.3 will be divided into several steps. In order to eliminate possible degeneracy of the functions f and , we start by regularizing the problem by means of a large parameter R. Then we prove that this regularized problem admits a solution by the standard Faedo–Galerkin method: here the parameter R will be of fundamental importance in order to gain some regularity. Once we have derived suitable estimates, we pass to the limit in the Faedo–Galerkin scheme. The second part of the proof will consist in the derivation of a priori estimates independent of R, which will allow us to pass to the limit in the regularized system and infer the existence of a solution with the desired regularity.
In what follows, we denote by C any positive constant depending only on the data, by any constant depending on the data and on R and by any constant depending on the data, on R and on , all independent of the dimension n of the Galerkin approximation. Furthermore, we denote by the -norm of a function or for , and the norm of a function will be denoted by . We systematically use the Korn’s inequality (see [19])
| 3.16 |
for every with a constant independent of w. We will also often use the Poincaré inequality (see [9, 16]) in the form
| 3.17 |
for functions provided is such that a. e. and . Finally, let us recall the Gagliardo–Nirenberg inequality (see [3, 9]) for on a bounded Lipschitzian domain in the form
| 3.18 |
with , and with a constant C depending only on q, r, s, where
Cut-off system
We choose a regularizing parameter , and first solve a cut-off system with the intention to let .
For we denote by
| 4.1 |
the projection of onto . Then we cut-off some nonlinearities by setting
| 4.2 |
| 4.3 |
| 4.4 |
| 4.5 |
for . Note that by Hypothesis 3.1 (vi) we deduce that , from which
| 4.6 |
and also, from Hypothesis 3.1 (x),
| 4.7 |
We replace (3.2)–(3.5) by the cut-off system
| 4.8 |
| 4.9 |
| 4.10 |
| 4.11 |
for all test functions and . For the system (4.8)–(4.11) the following result holds true.
Proposition 4.1
Let Hypothesis 3.1 hold and let be given. Then there exists a solution to (4.8)–(4.11), (1.6) with the regularity
for all , , ;
, ;
, , ;
, for all .
We split the proof of Proposition 4.1 in two steps. First, in Sect. 4.1, we further regularize the system by means of a small parameter in order to obtain some extra-regularity for the gradient of the capillary pressure. Then, in Sect. 4.2, we solve this new problem by Galerkin approximations. Here the extra-regularization will be of fundamental importance in order to pass to the limit in the nonlinearity , where n is the dimension of the Galerkin scheme. As a last step, we let .
-regularization of the capillary pressure
We define the functions
| 4.12 |
for , and introduce the new variables , . We then choose another regularizing parameter and consider the following system in the unknowns :
| 4.13 |
| 4.14 |
| 4.15 |
| 4.16 |
with test functions , and .
Galerkin approximations
For each fixed and , system (4.13)–(4.16) will be solved by Faedo–Galerkin approximations. To this end, let be the complete orthonormal systems of eigenfunctions defined by
with , for . Given , we approximate v and z by the finite sums
where the coefficients and will be determined as the solution of the system
| 4.17 |
| 4.18 |
| 4.19 |
| 4.20 |
for and for all , and with , . We prescribe the initial conditions
| 4.21 |
This is an ODE system coupled with a nonlinear PDE (4.18). It is nontrivial to prove that such a system admits a unique strong solution. We proceed as follows. For a given function consider the equation
| 4.22 |
which is to be satisfied for every a. e. in (0, T) together with an initial condition , and boundary condition on .
Step 1. As an application of the -regularity theory for elliptic systems in divergence form (see e. g. [21]) we can conclude that for every with some the problem
has for a. e. a unique solution such that , and it holds
Integrating over we obtain that .
Step 2. Let us define the convex and closed subset . Note that the trace operator is well defined on this space, so that the initial condition makes sense. Let , and let u be the solution of the equation
the existence of which follows from Step 1. We prove that the mapping is a contraction with respect to a suitable norm.
Indeed, let be given, and let be the corresponding solutions. The difference is the solution of the equation
According to Step 1, we have
| 4.23 |
By inequality (3.14) we have for a. e. (x, t)
with a constant . Hence, by Hölder’s inequality,
| 4.24 |
Now, set
It follows from (4.23) and (4.24) that
We now multiply both sides of the above inequality by , and after an integration over we obtain from the Fubini Theorem
This means that the mapping is a contraction in with respect to the weighted norm
hence it has a unique fixed point which is a solution of (4.22).
Step 3. The mapping which with a right-hand side associates the solution of (4.22) is Lipschitz continuous. Indeed, consider and the corresponding solutions , and set as before , . As a counterpart of (4.23) we get
and the computations as in (4.24) yield
We obtain the Lipschitz continuity result when we test by and integrate over , similarly as in Step 2.
Now, coming back to our Eq. (4.18), we see that it is of the form (4.22) with , where is from Hypothesis 3.1 (ii). Therefore, denoting by its associated solution operator, we conclude that (4.17)–(4.20) give rise to a system of ODEs with a locally Lipschitz continuous right-hand side containing the operator .
Thus system (4.17)–(4.20) has a unique strong solution in a maximal interval of existence . This interval coincides with the whole [0, T], provided we prove that the solution remains bounded in .
We now derive a series of estimates. Note that we decompose the auxiliary variables v and z instead of p and into a Fourier series with respect to the basis because we are going to test Eqs. (4.17) and (4.19) by nonlinear expressions of p and , namely, by their Kirchhoff transforms (4.12). Indeed, the Galerkin method allows only to test by linear functions and their derivatives.
Moreover, we do not discretize the momentum balance equation because considering the full PDE is the only way to deduce compactness of the sequence , which is needed in order to pass to the limit in some nonlinear terms. Indeed, we will not be able to control higher derivatives of , and this will prevent us from applying the usual embedding theorems.
Estimates independent of n
Estimate 1. We test (4.17) by and sum up over , and (4.18) by . Then we sum up the two equations to obtain
| 4.25 |
where we exploited also the energy identity (3.10). We now define
so that
and introduce the modified Preisach potential as a counterpart to (2.20)
which satisfies
according to (2.19). Note that (4.2) and (4.34.4) together with Hypothesis 3.1 (vi) and (vii) yield
| 4.26 |
for all , with some positive constants depending only on R. Moreover, the estimate
| 4.27 |
holds as a counterpart of (2.18). By the definition of and Hypothesis 3.1 (vii) we deduce
| 4.28 |
Moreover, thanks again to Hypothesis 3.1 (vii), the boundary term is such that
where for we set
Young’s inequality and Hypothesis 3.1 (iii), (iv) give
| 4.29 |
Moreover, by Hölder’s inequality and Hypothesis 3.1 (ii),
| 4.30 |
where in the last line we used first Korn’s inequality (3.16) and then Young’s inequality. Neglecting some lower order positive terms on the left-hand side, exploiting estimates (4.6), (4.26) and (4.27), and the fact that for all , from (4.25) and the subsequent computations we obtain
| 4.31 |
where we used also Hypothesis 3.1 (i), Young’s inequality and the pointwise inequality
| 4.32 |
to absorb on the left-hand side together with the term coming from (4.30).
We need to control . To this aim note that (4.20) is of standard form, namely,
with
| 4.33 |
or, equivalently,
This yields, thanks to (2.18), (4.6) and (4.7),
| 4.34 |
for a. e. . We now come back to (4.31) and integrate in time for some . The initial conditions are kept under control thanks to (3.7), (3.9), (4.26), (4.27) and Hypothesis 3.1 (v). Hence Young’s inequality yields
Using (4.32) and Grönwall’s lemma, we thus obtain
| 4.35 |
| 4.36 |
and also
| 4.37 |
Now, in terms of the variable , the boundary condition is nonlinear. By the spatial -regularity result for parabolic equations with nonlinear boundary conditions on domains stated and proved in [14, Theorem 4.1], we see that
| 4.38 |
This, together with the Sobolev embedding , yields
and since we also get
| 4.39 |
Estimate 2. We test (4.17) by and sum up over . We get
| 4.40 |
Defining
for , we can rewrite
Hence, computing the time derivative in the first summand and rearranging the terms, we can rewrite (4.40) as
| 4.41 |
Combining (2.8) with the identity (2.7) for the play, we see that it holds
Hence by (4.2), (4.34.4) and Hypothesis 3.1 (vi), (vii) we obtain the pointwise lower bound
We now integrate (4.41) in time for some . Note that for all . Hence, arguing as for estimate (4.29) with replaced by , we obtain that the boundary term on the left-hand side is such that
| 4.42 |
Concerning the initial conditions, we employ Hypothesis 3.1 (iv) and (v). Thus, exploiting also (4.28) and (4.34), we get
Young’s inequality, Hypothesis 3.1 (iii) and (iv), and estimates (4.32), (4.35), (4.36) give
| 4.43 |
| 4.44 |
| 4.45 |
Estimate 3. We test (4.19) by and sum over . We obtain
| 4.46 |
Defining
for , we can rewrite
Hence, rearranging the terms in (4.46), we obtain
We now integrate in time for some . By Hypothesis 3.1 (viii) and (ix) it holds
Note also that for all . Hence, using Young’s inequality as in (4.29) we obtain
Concerning the initial conditions, we employ Hypothesis 3.1 (iv) and (v). Thus, exploiting also (2.18), (3.11), (4.7) and (4.34), we get
| 4.47 |
We see that the approximate solution remains bounded in the maximal interval of existence . Hence the solution exists globally, and for every we have .
We further need to estimate the terms , , in the norm of . Note that (4.43), (4.45) entail , independently of n. Thus by the anisotropic embedding formulas ([3, Theorem 10.2] on p. 143 of the Russian version, see also [1, 5]) we deduce
| 4.48 |
Now, let us consider (4.18) rewritten in the form
| 4.49 |
where
according to Hypothesis 3.1 (ii). By the already mentioned -regularity (with some ) for elliptic systems in divergence form and by (3.8) we deduce, arguing as for (4.24),
| 4.50 |
By (4.48) and Hypothesis 3.1 (ii) we see that
Therefore, choosing in (4.50) and using also Hypothesis 3.1 (v), by Grönwall’s lemma we obtain
from which we deduce a bound also for the term since is dominant. Thus, coming back to (4.47) and using Hypothesis 3.1 (iii), (iv) and estimate (4.45), we finally obtain
Applying Grönwall’s lemma and Poincaré’s inequality (3.17) we finally obtain the estimates
| 4.51 |
| 4.52 |
Limit as
For the moment we keep the regularization parameters and R fixed, and let in (4.17)–(4.20). From estimates (4.35), (4.36), (4.38), (4.43), (4.44), (4.45), (4.51), (4.52), we see that there exists a subsequence of , which is again indexed by n, and functions such that
where the strong convergences are obtained by compact embedding, see [3]. We also need strong convergence of the sequences and in order to pass to the limit in some nonlinear terms. Taking the difference of (4.49) for indices n and m, and testing by we obtain, arguing as for Step 3 of the existence part,
| 4.53 |
a. e. in (0, T). The -Lipschitz continuity result for variational inequalities (see [11, Theorem 1.12]) tells us that
| 4.54 |
with the notation of (4.33), where we have by virtue of (2.16) for a. e. that
For put
Note that by (4.39) is bounded above independently of n. We further have
and (4.53) is of the form
Thus, from Fubini’s theorem and Grönwall’s lemma we obtain
that is,
| 4.55 |
The sequences and are Cauchy in and , respectively, hence and are also Cauchy sequences in and in , respectively. Thus we conclude
This is enough to pass to the limit in the nonlinearities by virtue of [7, Theorem 12.10], and we obtain
from which
The convergence of the Preisach hysteresis terms , and follow from (2.16), (2.17) and (2.11), respectively. The convergence of the plasticity terms and follows from (3.12) and (3.10), respectively. We now prove that the sequences , converge strongly in appropriate function spaces. Inequality (4.54) yields
where, due to the above convergences, strongly in . Hence we conclude that and are Cauchy sequences in and in , respectively. Moreover, since both and admit a uniform pointwise upper bound (see (4.34)), we can use the Lebesgue dominated convergence theorem to conclude that
Passing to the limit as in (4.17)–(4.20) we see that is a solution to (4.13)–(4.16), (1.6) with the regularity stated in Proposition 4.1.
Limit as
Let us denote by the solution to (4.13)–(4.16). Note that estimate (4.44) is preserved in the limit as , hence the limit function satisfies the inequality
We now choose such that , and integrate by parts in equation (4.13) to obtain
| 4.56 |
Introducing the new variable , we rewrite (4.56) in the form
| 4.57 |
where
Note that the term is of order by (2.7) and (2.8). Hence by estimates (4.34), (4.35), (4.36), (4.45) we see that , and its -norm is bounded independently of .
Consider now the system of eigenfunctions of the negative Laplace operator with zero Dirichlet boundary conditions
They form a complete orthonormal system in with . The functions admit the expansions
with coefficients , . Choosing in (4.57) we obtain
hence
| 4.58 |
for some positive constant independent of . The estimate (4.45) is preserved in the limit . Thus we get for a subsequence that
from which, by definition of in (4.12) and Hypothesis 3.1 (vii),
Also the estimates (4.35), (4.36), (4.43), (4.51), (4.52) are preserved when . Since they are independent of , by letting we obtain for and the same convergences as before.
Note that as a side product, from (4.58) we get that the estimate
holds also in the limit as . Hence, arguing as for (4.38) we get
This, by Sobolev embedding, yields
| 4.59 |
as well as
But then we can argue as in Sect. 4.4 and obtain an inequality similar to (4.55), but with a constant independent of . This entails the strong convergence of the sequences and . The rest of the convergence argument follows exactly as at the end of Sect. 4.4, and this concludes the proof of Proposition 4.1.
Estimates independent of R
We now come back to our cut-off system (4.8)–(4.11). We are going to derive a series of estimates independent of R. More precisely, after proving that the temperature stays away from zero, we will perform the energy estimate and the Dafermos estimate in order to gain some regularity for the temperature. Subsequently, a key-step will be the derivation of a bound for p in an anisotropic Lebesgue space. Then an analogous estimate based on the particular structure of Eq. (4.9) is obtained for . We finally show that this is sufficient for starting the Moser iteration and obtain an bound for p. After deriving some higher order estimates for the capillary pressure and for the temperature, we will be ready to let R tend to in (4.8)–(4.11).
Positivity of the temperature
For every nonnegative test function we have, by virtue of (4.10),
where in the last line we used Hypothesis 3.1 (i) together with inequality (4.32), and also estimate (4.7). Then, by Young’s inequality,
with a constant C depending on . Let now be the solution of the ODE
with from Hypothesis 3.1. Then is nondecreasing and positive. Taking into account the fact that and , for every nonnegative test function we have in particular
Consider now the following regularization of the Heaviside function
for , and set which is an admissible test function. This yields
By the Lebesgue Dominated Convergence Theorem we can pass to the limit in the above inequality for , getting
that is, by the monotonicity of ,
which implies . Owing again to the monotonicity of and , we conclude that, independently of R,
| 5.1 |
We now pass to a series of estimates independent of R.
Energy estimate
Since we proved that the temperature stays positive, from now on we will write .
We test (4.8) by , (4.9) by and (4.10) by . Summing up the three resulting equations we obtain
Note that some of the terms cancel out. Moreover, recalling the notation introduced in () and the energy balance (2.11), the identities
| 5.2 |
| 5.3 |
hold true. Hence we obtain, using also (3.10) and (4.11),
| 5.4 |
We now integrate in time . On the left-hand side Young’s inequality, (3.11) and (4.32) entail
| 5.5 |
By the definition of in (4.1), it holds . The boundary term is such that
| 5.6 |
thanks to Young’s inequality and Hypothesis 3.1 (iii) and (iv). Concerning the right-hand side of (5.4), the time integration gives
where the term containing the initial conditions is controlled by using Hölder’s inequality and observing that
Hence by Young’s inequality and Hypothesis 3.1 (ii), (v) we deduce
where we used also Korn’s inequality (3.16). The first term in the last line is absorbed by (5.5). Finally, the initial conditions are kept under control thanks to (2.18), (3.9), (4.6) and Hypothesis 3.1 (v). Hence what we eventually get is
and applying Grönwall’s lemma we finally obtain the estimates
| 5.7 |
| 5.8 |
Estimate (5.7) also gives
| 5.9 |
where b is from Hypothesis 3.1 (viii).
Dafermos estimate
We set and test (4.10) by , with a from Hypothesis 3.1. This yields the identity
| 5.10 |
It holds
where
and by Hypothesis 3.1 (ix) also
Hence from (5.10) we get, using also Hypothesis 3.1 (i) and inequalities (4.32), (4.7),
| 5.11 |
where we neglected some positive terms on the left-hand side. Young’s inequality yields
with a constant C depending only on , whereas the boundary term is such that
by (5.1) and Hypothesis 3.1 (iii), (iv). Note also that for all . Thus, integrating (5.11) in time for some and neglecting some other positive terms on the left-hand side we obtain
| 5.12 |
thanks to estimates (5.7), (5.8). Now, owing to estimate (5.9), we can apply the Gagliardo–Nirenberg inequality (3.18) with the choices , and obtaining, for ,
with and for every . In particular, since , this and (5.12) yield
| 5.13 |
Let us now choose , which is admissible in the sense that thanks to Hypothesis 3.1. Since , we can apply Young’s inequality on the right-hand side getting
Substituting in (5.13) entails
| 5.14 |
Coming back to (5.13) again and choosing , we also get
| 5.15 |
Mechanical energy estimate
In order to estimate the capillary pressure in a suitable anisotropic Lebesgue space, we first need to find a bound for in , independently of R. To this purpose, we test (4.8) by , (4.9) by and sum up to obtain, with the notation of the previous subsection,
Note that some terms cancel out. Owing to (5.2) and exploiting also the energy identity (3.10), what we eventually get is
Now, (4.11) yields
| 5.16 |
where in the last line we used Young’s inequality and (4.7), and where the constant C is independent of R. Moreover, from the pointwise inequality (4.32) and arguing as for (4.30) we get
Hence we obtain, exploiting also Hypothesis 3.1 (i) to absorb the terms coming from the two estimates above,
where the boundary term was handled as in (5.6). We now integrate in time for some . The right-hand side is bounded thanks to estimate (5.15), whereas the initial conditions are kept under control thanks to (2.18), (3.7), (3.9), (4.6) and Hypothesis 3.1 (v). Hence, neglecting some already estimated positive terms, we finally obtain
| 5.17 |
independently of R. This, together with (5.8) and Poincaré’s inequality (3.17), yields
| 5.18 |
Estimate for the capillary pressure
We choose an even function such that for and . Then we test (4.8) by . We obtain
| 5.19 |
The term under the time derivative has the form
| 5.20 |
We now define
so that
and introduce the modified Preisach potential as a counterpart to (2.20)
which satisfies
according to (2.19). Note that and for all . Then (5.20) can be rewritten as
| 5.21 |
Defining
we see that from () and (4.11) it holds
Now, using Young’s inequality as in (5.16) we obtain
and similarly
so that (5.21) entails
| 5.22 |
Note that
for all , hence
independently of R. From (5.22) we conclude
so that (5.19) and a time integration for some yields
| 5.23 |
Now that we got rid of and derived a manageable estimate, we choose with which will be specified later. Here is as in Hypothesis 3.1. Note that this is an admissible choice, that is, . Indeed, by estimates (4.45), (4.59) and by the anisotropic embedding formulas, see [3], we have
| 5.24 |
for any . The bound also depends on R, but for a fixed R and each the function belongs to X for a. e. .
With this choice (5.23) takes the form
where, from Hypothesis 3.1 (vi),
Note also that, from Hypothesis 3.1 (vi) and an analogous version of (2.3),
Moreover
Finally, by Young’s inequality with conjugate exponents , we see that the boundary term is such that
Hence, using also Hypothesis 3.1 (vii), we obtain
From Hypothesis 3.1 (iv) and (v) it follows that the above inequality is of the form
| 5.25 |
with a constant independent of R and k and with
| 5.26 |
We have and
independently of R by virtue of the estimates (4.32) and (5.17) for , (5.15) for and (5.18) for p.
Since we deal with anisotropic spaces , , it is convenient to introduce for the norm of a function the symbol
![]() |
5.27 |
For the function
| 5.28 |
we obtain from (5.25) using Hölder’s inequality and Poincaré’s inequality (3.17) that
| 5.29 |
for all , with
and with a constant C independent of , R and k. We now show that for a suitably chosen k, the right-hand side of (5.29) is dominated by the left-hand side, which will imply a bound for the left-hand side. By the Gagliardo–Nirenberg inequality (3.18) with , , and we have
| 5.30 |
We now choose k in such a way that , that is, , which yields
By Hypothesis 3.1 we have . Hence, by (5.30),
Since , we conclude from (5.29) that there exists a constant C independent of R such that, in particular,
Invoking (5.28), we obtain for p the estimates
| 5.31 |
We now distinguish two cases: and . For (that is, ) we have
| 5.32 |
For (that is, ) we use again the Gagliardo–Nirenberg inequality (3.18) with , , and , obtaining
so that for
we have
Hence by virtue of (5.18), (5.27), and (5.31) we obtain
| 5.33 |
with a constant independent of R, according to the notation (5.27). Note that thanks to Hypothesis 3.1 with .
Further estimates
Now that we have obtained a suitable estimate for the capillary pressure in (5.33), we derive an analogous estimate for . To this aim we test (4.9) by , which yields
By (3.8), Hypothesis 3.1 (v) and (5.17) we have
hence using Hypothesis 3.1 (i) and Young’s inequality as in Sect. 5.4 we conclude that the estimate
| 5.34 |
holds for a. e. with a constant independent of R. We want to find and estimate for in the norm of for a suitable q. To this aim we apply the Gagliardo–Nirenberg inequality (3.18) to with the choices , (with b from Hypothesis 3.1) and . We obtain that, for ,
so that for
we have
Hence by virtue of (5.9) and (5.14) we get
| 5.35 |
independently of R. Note that our hypotheses on b imply . Thus, coming back to (5.34) we have obtained that there exists such that, thanks to (5.32) or (5.33) and (5.35),
| 5.36 |
independently of R, according to the notation (5.27).
We continue our analysis with the inequality (5.25) again. Unlike in Sect. 5.5, we do not keep the exponent k bounded, but we let in a controlled way. As in (5.28), we define auxiliary functions and rewrite (5.25) for as
| 5.37 |
with a constant independent of k, with given by (5.26), and with
It follows from (5.32) or (5.33), (5.35), and (5.36) that and
Repeating exactly the argument of the proof of [8, Proposition 6.2] we obtain the following result.
Proposition 5.1
Let Hypothesis 3.1 hold and let be a solution of (4.8)–(4.11) with the regularity from Proposition 4.1. Then the function p admits an -bound independent of R, more precisely,
| 5.38 |
for a. e. with ,
, and with positive constants depending only on the data.
The main consequence of Proposition 5.1 is that, since we aim at taking the limit as in (4.8)–(4.11), we can restrict ourselves to parameter values , with from (5.38), so that the cut-off (4.2), (), (4.34.4) is never active and . Hence we can rewrite (4.8)–(4.11) in the form
| 5.39 |
| 5.40 |
| 5.41 |
| 5.42 |
for all test functions , , with and with initial conditions (1.6). In order to pass to the limit as , we still need to derive some higher order estimates.
Higher order estimates for the capillary pressure
Let us define
| 5.43 |
for , so that . We would like to test (5.39) by which, however, is not an admissible test function since . Hence we choose a small and test by , where
with the intention to let . We obtain
| 5.44 |
Concerning the second summand on the left-hand side of (5.44), note that
We now deal with the boundary term. It holds
To handle the term , we use the inequality which holds for every convex function F and every y, z. We interpret M(p)(t) as y, as z and . The function is increasing, hence its antiderivative F is convex. Thus
Defining
for , we obtain
Thus (5.44) and the above estimates entail
We are now ready to integrate in time from h to some and then let . Note that estimate (4.45) entails that the function is in , so that the convergence is strong in . We obtain
Combining (2.8) with the identity (2.7) for the play, we see that it holds , thus
thanks to Hypothesis 3.1 (vi), (vii) and estimate (5.38). Hence there exists a constant such that for every we have
thanks to Hypothesis 3.1 (v), (vi) and (vii), where we handled the boundary term on the left-hand side as in (4.42). Arguing as for estimate (4.34), we obtain
| 5.45 |
for a. e. , this time independently of R thanks to (5.38). Thus, employing also Young’s inequality, estimates (5.7), (5.8), (5.17) and Hypothesis 3.1 (iii) and (iv), we conclude that
| 5.46 |
| 5.47 |
By (5.7), (5.17), (5.18), (5.47) and by comparison in equation (5.39), we see that the term is bounded in independently of R. In terms of the new variable , the boundary condition in (1.7) is nonlinear, and from considerations similar to those used in the proof of [14, Theorem 4.1] it follows
| 5.48 |
We thus may employ the Gagliardo–Nirenberg inequality (3.18) with , obtaining
which holds for all . Elevating to some power s such that and integrating in time yield
thanks to estimates (5.46), (5.48) and Hypothesis 3.1 (vii). In particular, for and we obtain, respectively,
| 5.49 |
according to the notation (5.27).
Higher order estimates for the displacement
Let us consider Eq. (5.40). Setting
and arguing as for (4.50) we deduce
| 5.50 |
Thus, by choosing (with from Hypothesis 3.1) in the above inequality we obtain from (5.15), (5.38), Hypothesis 3.1 (ii), (v) and Grönwall’s lemma
| 5.51 |
We now derive an estimate for in a suitable anisotropic Lebesgue space. To this aim we need to derive first an additional estimate for . We use Gagliardo–Nirenberg inequality (3.18) with the choices , and obtaining, for ,
which holds for all . This yields, elevating to some power s such that and integrating in time,
thanks to estimates (5.9), (5.14). In particular, for and we obtain
| 5.52 |
Note that
which is certainly true under our hypotheses. Therefore, choosing in (5.50) we obtain, thanks to (5.51) and Hypothesis 3.1 (v),
for a. e. . Hypothesis 3.1 (ii) and estimates (5.38), (5.52) then yield
| 5.53 |
independently of R.
Higher order estimates for the temperature
Note that (5.40) with and (5.42) entail, respectively,
Plugging these identities into (5.41) we obtain
| 5.54 |
for every , where has the regularity of the worst term. Estimates (5.38), (5.45), (3.16), (3.8), (3.11), (2.18) yield
which from (5.47), (5.49), (5.51), (5.53) implies
| 5.55 |
independently of R, with b as in Hypothesis 3.1.
Assume now that for some we have proved
| 5.56 |
We know that this is true for by virtue of (5.15). Set
| 5.57 |
and set in (5.54). We obtain
| 5.58 |
It holds
where
Observe that
by Hypothesis 3.1 (viii). Moreover, Hypothesis 3.1 (ix) entails
Concerning the boundary term, we use Young’s inequality with exponents , and obtain
by Hypothesis 3.1 (iii) and (iv). We now integrate (5.58) in time for some . Thanks to the choice (5.57) and Hölder’s inequality with exponents , the right-hand side is such that
by estimates (5.55), (5.56). Hence we have obtained
| 5.59 |
We now denote
and rewrite (5.59) as
| 5.60 |
We now apply Gagliardo–Nirenberg inequality (3.18) to v(t), , with and . Choosing q in such a way that , that is, , and integrating in time from 0 to T we obtain
Estimate (5.60) yields
so that . Coming back to the variable , we have proved that
We now proceed by induction according to the rule
We have the implication
Hence, the sequence is increasing and . It follows that choosing for some j sufficiently large we obtain
| 5.61 |
with from Hypothesis 3.1 (ix), and using also (5.59) we obtain
| 5.62 |
with arbitrarily close to . We now come back to (5.54), which we test by (note that this is an admissible choice by Proposition 4.1). It holds
hence from Hypothesis 3.1 (ix) and (5.55) we obtain, after a time integration,
| 5.63 |
Using the Gagliardo–Nirenberg inequality (3.18) again with , (note that under our hypotheses), and we have that, for each fixed ,
with and where we used estimate (5.9). Raising to the power and integrating we get
Plugging this back into (5.63) and using Young’s inequality we deduce
| 5.64 |
This enables us to derive an upper bound for the integral , which we need for getting an estimate for from equation (5.54). By Hölder’s inequality and Hypothesis 3.1 (ix) we have that
| 5.65 |
Let us now choose such that , where is defined in (5.61). Note that such a exists since . Defining
| 5.66 |
we get from Hölder’s inequality with conjugate exponents that
by virtue of (5.62). Inequality (5.65) then yields the bound
Hence, by (5.64),
From (5.55) it follows that testing with is admissible, in the sense that the term is integrable. This is obvious if . For the space is embedded in with
so that . We thus obtain from (5.54) that
| 5.67 |
Passage to the limit as
In this section we conclude the proof of Theorem 3.3 by passing to the limit in (5.39)–(5.42) as . Most of the convergences can be handled as at the end of Sect. 4.3, hence we focus here on the main differences.
Let be a sequence such that , with as in (5.38), and let be solutions of (5.39)–(5.42) corresponding to , with and test functions , . Our aim is to check that at least a subsequence converges as to a solution of (3.2)–(3.5) with test functions , and .
First, for the capillary pressure we have the estimates (5.38), (5.46), (5.47), (5.48) and (5.49), which imply that, passing to a subsequence if necessary,
by compact embedding. We easily show that
| 6.1 |
Indeed, let be the set of all such that . By (5.49) we have
hence . For we use Hölder’s inequality to get the estimate
and (6.1) follows.
For the temperature we proceed in a similar way. By estimates (5.64) and (5.67) we obtain
where for the last convergence we exploited [18, Theorem 5.1] and the embedding (recall that ). Furthermore, estimate (5.62) entails that are uniformly bounded in for every . Hence a similar argument as above yields that
Estimate (5.48) and the Sobolev embeddings yield an inequality similar to (4.55), but with a constant independent of both and R. This is enough to obtain that , strongly in and in , respectively. The strong convergences , then follow as at the end of Sect. 4.2, as well as the convergence of the hysteresis terms.
Therefore the limit as yields a solution to (3.2)–(3.5), and the proof of Theorem 3.3 is completed.
Funding Information
Open access funding provided by Austrian Science Fund (FWF).
Declarations
Conflict of interest
The authors declare that they have no conflicts of interests.
Footnotes
The support from the Austrian Science Fund (FWF) projects V662 and F65, from the GAČR Grant No. 20-14736S, and from the European Regional Development Fund, Project No. CZ.02.1.01/0.0/0.0/16_019/0000778 is gratefully acknowledged.
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Contributor Information
Chiara Gavioli, Email: chiara.gavioli@tuwien.ac.at.
Pavel Krejčí, Email: Pavel.Krejci@cvut.cz.
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