Homogenization for a nonlinear ferroelectric model Aida Timofte Institute of Mathematics “Simion Stoilow” of the Romanian Academy Bucharest, 29.10.2008

Modeling and existence result for ferroelectric materials Ferroelectrics: spontaneous polarization, which can be reoriented by the application of an electric field. Derived property: piezoelectricity (the ability to develop an electrical charge proportional to a mechanical stress). Applications: electronics and optics (piezoelectric materials for medical ultrasound imaging and actuators, electro-optic materials for data storage and displays).

Basic quantities in the theory: u : Ω → Rd, elastic displacement field, D : Rd → Rd, electric displacement field, q : Ω → Rdq , internal variables (for instance, remanent strain rem or remanent polarization Prem). Stored-energy functional: E E(t, u, D, q) =

Z





Z

1 W (x, e(u), D, q) + α(x, ∇q) dx + |D|2 dx Ω Rd \Ω 20

−h`(t), (u, D)i, W Helmholtz free energy and e(u) infinitesimal strain tensor o n 1 T d×d d×d T e(u) = (∇u + ∇u ) ∈ Rsym := σ ∈ R σ =σ . 2

The external loading `(t): h`(t), (u, D)i =

Z Rd

+

Eext (t, x)·D(x) dx +

Z ΓNeu

Z Ω

fvol (t, x)·u(x) dx

fsurf(t, x)·u(x) da(x),

Eext , fvol , and fsurf, are applied external fields. Dissipation functional: R R(q) ˙ =

Z Ω

R(x, q(x)) ˙ dx,

where R(x, ·) : Rdq → [0, ∞) convex function homogeneous of degree 1 ( ⇐⇒ rate-independence).

Energetic formulation: based on energies only. Advantage: avoids derivatives of E and of the solution (u, D, Q). Under suitable smoothness and convexity assumptions the energetic formulation is equivalent to the differential formulation. Mielke & Theil & Levitas ’99; Mielke, Theil & Levitas ’02; Mielke & Theil ’04; Mainik & Mielke ’05; Mielke ’05 ; Francfort & Mielke ’06; Mielke & Timofte ’06. We have shown: Existence: The energetic formulation (S) & (E) has solutions for suitable initial data, if the constitutive functions W and R satisfy reasonable continuity and convexity assumptions. Uniqueness: under much stronger conditions.

Functions spaces: (u, D, Q) ∈ Y := F × Q, (u, D) ∈ F := H1 Γ

Dir

d L2 div (R ) :=

n

d (Ω; Rd) × L2 div (R ),

o ψ ∈ L2(Rd; Rd) div ψ = 0 ,

q ∈ Q := H1(Ω; Rdq ).

Definition: We call (u, D, q) an energetic solution of the problem associated with E and R, if the stability condition (S) and the energy balance (E) hold for every t ∈ [0, T ]: c q) c qb ; b D, b + R(q−q(t)) b b D, (S): E(t, u(t), D(t), q(t)) ≤ E(t, u, for all u,

(E): E(t, u(t), {z D(t), q(t))} + | present energy

Z t

R(q(s)) ˙ ds

|0 {z } dissipatedZ energy t

= E(0, u(0), {z D(0), q(0))} − | initial energy

˙ h`(s), (u(s), D(s))i ds .

| 0 {z } reduced work of external forces

Existence theorem (A. Mielke, A.T. ’06) Suppose that the constitutive functions W and R satisfy reasonable continuity and convexity assumptions. Then for each stable initial data (u0, D0, q0) the energetic problem (S) & (E) has a solution (u, D, q) : [0, T ] → Y, with (u(0), D(0), q(0)) = (u0, D0 , q0). Moreover, we have (u, D, q) ∈ L∞([0, T ]; Y).

Assumptions (

R : Ω × Rdq → [0, ∞), R ∈ C0(Ω × Rdq ), cR |V | ≤ R(x, V ) ≤ CR |V | for all x ∈ Ω, V ∈ Rdq ,

for some fixed constants cR , CR > 0, R(x, ·) : Rdq → [0, ∞) is 1-homogeneous and convex for every x ∈ Ω. (

d dq W : Ω × Rd×d sym × R × R → [0, ∞] α : Ω × Rdq ×d → [0, ∞]

are Caratheodory functions.

Coercivity and convexity assumptions: W (x, ε, D, q) + α(x, V ) ≥ c(|ε|2 + |D|2 + |q|2 + |V |2) − C d dq dq ×d, for every (x, ε, D, q, V ) ∈ Ω × Rd×d sym × R × R × R for some fixed constants c, C > 0,   W (x, ·, ·, q) : Rd×d × Rd → [0, ∞] is convex for every (x, q) ∈ Ω × Rdq , sym  α(x, ·) : Rdq ×d → [0, ∞] is convex for every x ∈ Ω.  1 ` ∈ C [0, T ], (H1 Γ

Dir

 d ∗ 2 d ∗ (Ω; R )) × Ldiv (R ) .

ε problem Ω ⊂ Rd, connected open bounded set, with Lipschitz boundary Γ; Y ⊂ Rd, unit periodicity cell; ε > 0. Assume W, α, R, to be Y -periodic in the first argument. Energy functional: Eε (t, u, D, q) =

Z Ω





W ( xε , e(u), D, q) + α( xε , ∇q) dx +

−h`(t), (u, D)i, Dissipation functional: Z



 x ˙ = R ε , q(x) ˙ dx. Rε(q) Ω

Z

1 |D|2 dx Rd \Ω 20

Energetic formulation We call (uε, Dε, qε) an energetic solution of the problem associated with Eε and Rε, if for every t ∈ [0, T ] the stability condition (Sε) and the energy balance (Eε) hold: c q) b D, b + Rε(q−q b ε(t)) (Sε) : Eε(t, uε(t), Dε(t), qε(t)) ≤ Eε(t, u, c qb ; b , D, for all u

(Eε) : Eε (t, uε(t), Dε(t), qε(t)) +

Z t 0

Rε(q˙ε(s)) ds

= Eε(0, uε(0), Dε(0), qε(0)) −

Z t 0

˙ h`(s), (uε(s), Dε(s))i ds.

Existence for (Sε ) & (Eε ) 0 0 ε ε For all ε > 0 and stable (u0 ε , Dε , qε ), the energetic problem (S ) & (E ) has a solution (uε, Dε, qε) : [0, T ] → Y, with 0, q 0 ). , D (uε(0), Dε(0), qε(0)) = (u0 ε ε ε

Moreover, we have (uε, Dε, qε) ∈ L∞([0, T ]; Y).

Two-scale homogenized problem (ε → 0)

H := H1ΓDir (Ω)d × L2(Ω; H1av (Y ))d, Z o 1 1 f (y) dy = 0 , Hav(Y ) := f ∈ Hper (Y ) Y ( ) Z d × Y ) := ψ ∈ L2(Rd × Y )d div ψ = 0 , L2 ( R divx ψ(x, y) dy = 0 , y Div Y n

Q := H1(Ω)dq × L2(Ω; H1av (Y ))dq , Z := H × L2Div (Rd × Y ) × Q. d × Y ), Q = (q , Q ) ∈ Q, define ( R For U = (u0, U1) ∈ H, D ∈ L2 0 1 Div

E(t, U, D, Q) =

where D(x) :=

Z Z



Ω Y

Z Y



W (y, e ˆ(U ), D, q0) + α(y, ∇xq0 + ∇y Q1) dy dx Z

Z

1 + |D|2 dy dx − h`(t), (u0, D)i, Rd\Ω Y 20

D(x, y) dy ∀x ∈ Rd and eˆ(U ) := ex(u0) + ey (U1 ). ˙ = R(Q)

Z Z Ω Y

R(y, q˙0 (x)) dy dx.

Energetic formulation of the two-scale homogenized problem: (S)& (E) For all t ∈ [0, T ]: e , Q) e, D e + R (Q e − Q(t)) (S) : E(t, U (t), D(t), Q(t)) ≤ E(t, U e , Q) e,D e ∈ Z, for every (U

(E) : E(t, U (t), D(t), Q(t)) +

Z t 0

˙ R(Q(s)) ds = E(0, U (0), D(0), Q(0)) −

Z t 0

˙ h`(s), (u0(s), D(s))i ds.

Claim: (S)& (E) is the two-scale homogenized problem for (Sε )& (Eε).

Main Theorem Let (uε, Dε, qε) : [0, T ] → Y be a solution for (Sε ) & (Eε ). Assume Eε (0, uε(0), Dε(0), qε(0)) → E(0, U 0, D0, Q0). for some Z 0 = (U 0 , D0, Q0) ∈ Z. Then there exists a subsequence (uε0 , Dε0 , qε0 )ε0 such that w2c

∀t ∈ [0, T ] : (uε0 (t), Dε0 (t), qε0 (t)) * Z(t) = (U (t), D(t), Q(t)) in Z, where Z : [0, T ] → Z is a solution of (S)& (E), with the initial condition Z(0) = Z 0 .

Two-scale convergence method Nguetseng 1989 (SIAM J. Math. Anal.); Allaire 1992 (SIAM J. Math. Anal.); Cioranescu & Donato 1999 (Oxford Lecture Series Math. Appl., 17); Lukkassen, Nguetseng & Wall 2002 (Int. J. Pure and Appl. Math.). Ω ⊂ Rd, bounded open set; Y = [0, 1)d, reference cell; Cper (Y ): subspace of C(Rd) of Y -periodic functions; Definition (two-scale convergence) A sequence {vε} in L2(Ω) two-scale converges to V ∈ L2(Ω × Y ), if 

Z

x lim vε(x)ψ x, ε→0 Ω ε



dx =

Z Z Ω Y

V (x, y)ψ(x, y) dy dx.

for every ψ = ψ(x, y) from L2(Ω; Cper (Y )). ts

We then write vε * V .

Weak and strong two-scale convergence Periodic unfolding operator Tε Cioranescu, Damlamian & Griso 2002   



x Tε : L2(Ω) → L2(Rd × Y ); Tεv(x, y) = vex ε + εy . ε Relation with two-scale convergence Assume Ω has Lipschitz boundary. Let a bounded sequence (vε)ε in L2(Ω) and let V ∈ L2(Ω × Y ). Then ts

vε * V ⇐⇒ Tε vε|Ω×Y * V (weakly) in L2(Ω × Y ). Definition Let {vε} ⊂ L2(Ω) and V ∈ L2(Ω × Y ). We say that {vε} w2 (w2): weakly two-scale converges to V (write vε * V ), if Tεvε * V (weakly) in L2(Rd × Y ). s2

(s2): strongly two-scale converges to V (write vε −→ V ), if Tεvε → V (strongly) in L2(Rd × Y ).

Proposition If {vε} ⊂ L2(Ω) is bounded, then ts

w2

vε * V ⇐⇒ vε * V. Two-scale convergence of gradients ∞ 1 H1 per (Y ) is the closure of Cper (Y ) in H (Y ).

R o 1 f ∈ Hper (Y ) Y f (y) dy = 0 . Notation: For v ∈ L2(Ω) define Ev ∈ L2(Ω × Y ) by Ev(x, y) = v(x).

H1 av(Y ) :=

n

Theorem Assume |∂Ω| = 0. Let vε * v0 weakly in H1 (Ω). Then s2

vε −→ Ev0, and there is a subsequence {vε0 } and V1 = V1 (x, y) in L2(Ω; H1 av(Y )), such that w2

∇vε0 * E∇v0 + ∇y V1.

Definition Let (U, D, Q) ∈ Z, with U = (u0, U1 ) and Q = (q0 , Q1). A sequence (uε, Dε, qε)ε in Y is called (w2c): weakly two-scale cross-convergent to (U, D, Q), if w2

w2

∇uε * ∇u0 + ∇y U1,

uε * Eu0, w2

qε * Eq0,

w2

D ε * D,

w2

∇qε * ∇q0 + ∇y Q1.

w2c

We write (uε, Dε, qε) * (U, D, Q). (s2c): strongly two-scale cross-convergent to (U, D, Q), if s2

uε −→ Eu0,

s2

∇uε −→ ∇u0 + ∇y U1 ,

s2

qε −→ Eq0, s2c

s2

∇qε −→ ∇q0 + ∇y Q1.

We write (uε, Dε, qε) −−→ (U, D, Q).

s2

Dε −→ D,

Theorem 1 (two-scale Γ-convergence of Rε) Let (qε)ε a bounded sequence in H1(Ω)dq and Q = (q0 , Q1) ∈ Q. w2

(i) If qε * Eq0 , then lim inf Rε(qε ) ≥ R(Q). ε→0

s2

(ii) If qε −→ Eq0, then lim Rε(qε) = R(Q). ε→0

Theorem 2 (two-scale Γ-convergence of Eε ) Let (uε, Dε, qε)ε a bounded sequence in Y and (U, D, Q) ∈ Z. w2c

(i) If (uε, Dε, qε) * (U, D, Q), then lim inf Eε(t, uε, Dε, qε) ≥ E(t, U, D, Q). ε→0

s2c

(ii) If (uε, Dε, qε) −−→ (U, D, Q), then lim Eε(t, uε, Dε, qε) = E(t, U, D, Q). ε→0

Proposition 1 (joint recovery sequence) w2c

Let a stable sequence (uε, Dε, qε)ε ⊂ Y, with (uε, Dε, qε)ε * (U, D, Q) ∈ e , Q) e ∈ Z, there is a joint recovery sequence Z. Assume for each (Ue , D f , qe ) ⊂ Y, such that e ε, D (u ε ε ε h

i f e ε, Dε, qeε) + Rε(qeε−qε) − Eε(t, uε, Dε, qε) lim sup Eε(t, u ε→0 e , Q) e,D e + R (Q e − Q) − E(t, U, D, Q). ≤ E(t, U

Then (U, D, Q) is stable (satisfies (S)). Proposition 2 For every (U, D, Q) ∈ Z, there exists a sequence (uε, Dε, qε)ε in Y, such that s2c

(uε, Dε, qε) −−→ (U, D, Q)

Lemma 1 Let (uε)ε and (vε)ε be bounded sequences in Lp(Ω), respectively Lq (Ω), where 1p + 1q = 1. Then  

w2



Z

Z

Z

uε * U ∈ Lp(Ω × Y )  ⇒ uε(x)vε(x) dx → U (x, y)V (x, y) dy dx. s2  v * q Ω Ω Y V ∈ L (Ω × Y ) ε Lemma 2 s2

Let (vε)ε be a bounded sequence in Lp(Ω), with vε * V ∈ Lp(Ω × Y ). x ) for x ∈ Rd. Then (Y ) and f (x) = f ( Consider f ∈ L∞ ε per ε s2

fεvε * f V, where f (x, y) := f (y) for every (x, y) ∈ Ω × Y .

Periodic unfolding and other related operators Periodic unfolding operator   



x Tεv(x, y) = v ε + εy . ε

Tε : Lp(Rd) → Lp(Rd × Y );

Z

1 U (ξ, y) dξ. PεU (x, y) = d ε ε([ xε ]+Y )

Pε : Lp(Rd × Y ) → Lp(Rd × Y ); Periodic folding operator p

d

p

d

Fε : L (R × Y ) → L (R );



n o FεU (x) = PεU x, xε .

Notations o d Ωε := int ε(λ + y) λ ∈ Z , y ∈ Y, ε(λ + int(Y )) ∩ Ω 6= ∅ , n o p p d d Lex(Ω) := v ∈ L (R ) v ≡ 0 a.e. on R \Ω , n o p p d d Lex(Ω × Y ) := U ∈ L (R × Y ) U ≡ 0 a.e. on (R \Ω) × Y . n

Properties: p

p

(i) Tε is an isometry and Tε (Lex(Ω)) ⊂ Lex(Ωε × Y ). p

p

(ii) kPεk ≤ 1 and Pε(Lex(Ω × Y )) ⊂ Lex(Ωε × Y ). For every U ∈ Lp(Rd × Y ), we have lim kPε U − U kLp(Rd ×Y ) = 0.

ε→0 p

p

(iii) Fε(Lex (Ω × Y )) ⊂ Lex (Ωε). (iv) We have TεFε = Pε, FεTε = idLp(Rd) , and PεTε = Tε . (v) The adjoint of Tε : Lp(Rd) → Lp(Rd × Y ) is the operator Fε : Lq (Rd × Y ) → Lq (Rd), where 1p + 1q = 1.

Proposition Let (uε)ε be a bounded family in Lp(Ω) with p ∈ (1, ∞), and U ∈ Lp(Ω × Y ). Then the following statements are equivalent: (ii) Tεuε * U in Lp(Ω×Y ), Ω×Y

ts

(i) uε * U,

w2

(iii) uε * U in Lp(Ω×Y ).

Proposition Let ρ : Rd × Rm → [0, ∞) be measurable and Y -periodic in the first argument. Then Z





Z

x , v(x) dx = ρ ρ(y, Tε v(x, y)) dx dy, d d ε R R ×Y p

for every v ∈ Lp(Rd). If ρ(·, 0) ≡ 0 and v ∈ Lex(Ω), then Z





Z

x , v(x) dx = ρ ρ(y, Tε v(x, y)) dx dy. ε Ω Ωε ×Y The integrals are finite if |ρ(y, z)| ≤ C(1 + |z|p ). In particular, we have Z Ω

v(x) dx =

Z Ωε ×Y

Tεv(x, y) dx dy

for every v ∈ Lpex(Ω).

References [1] A. Mielke. Evolution in rate-independent systems. In Handbook of Differential Equations II, Evolutionary Equations. Elsevier B.V., 2, 461–559, 2005. [2] A. Mielke and A. M. Timofte. An energetic material model for time-dependent ferroelectric behaviour: Existence and uniqueness. Math. Meth. Appl. Sci., 29 (2006), 1393–1410. [3] A. Mielke and A. M. Timofte. Two-scale homogenization for evolutionary variational inequalities via the energetic formulation. SIAM J. Math. Anal., 39 (2007), 462–668. [4] A. Timofte. Homogenization for a nonlinear ferroelectric model. Asymptotic Analysis, in press.

Homogenization for a nonlinear ferroelectric model

We call (u, D, q) an energetic solution of the problem associated with E and R, if the stability condition (S) and the energy balance. (E) hold for every t ∈ [0,T]:.

628KB Sizes 0 Downloads 262 Views

Recommend Documents

HOMOGENIZATION FOR STOCHASTIC PARTIAL ...
(hk(x, z)) and f = (fk(z)) are assumed to be periodic with period 1 in all components. 2000 Mathematics Subject Classification. Primary 60H15; Secondary 35R60, 93E11. Short title. Homogenization for stochastic PDEs. Key words and phrases. homogenizat

HOMOGENIZATION PROBLEM FOR STOCHASTIC ...
partial differential equations (SPDEs) with small parameter ϵ > 0 :... duϵ(t, x) = Aϵuϵ(t, x)dt + Mϵ(uϵ(t,·))(x)dWt ,. uϵ(0,x) = u0(x) ∈ L2(Rd),. (1.1) where W = (Wt)t∈[0,T] is an n-dimensional standard Brownian motion, and Aϵ, Mϵ are t

A Behavioural Model for Client Reputation - A client reputation model ...
The problem: unauthorised or malicious activities performed by clients on servers while clients consume services (e.g. email spam) without behavioural history ...

Ferroelectric Polymer Langmuir–Blodgett Films for ... - IEEE Xplore
FERROELECTRIC POLYMER LB FILMS FOR NONVOLATILE MEMORY APPLICATIONS. 721 is long enough for many applications, where data can be.

Nonlinear State–Space Model of Semiconductor ...
Aug 29, 2008 - The authors are with the Department of Electrical and Computer Engi- neering, University of Toronto, Toronto, ON M5S 3G4, Canada (e-mail:.

Evaluation of 1D nonlinear total-stress site response model ...
It is well-known that nonlinear soil behavior exhibits a strong influence on surficial ... predictions, statistically significant conclusions are drawn on the predictive ...

Nonlinear State–Space Model of Semiconductor Optical ... - IEEE Xplore
Aug 29, 2008 - Page 1 ... then apply the model to design an optical feedback controller ... we use the compressed model to design and demonstrate a con-.

A Non-Expansive Convolution for Nonlinear-Phase ...
In this case, the matrix. (A11J + A12) has to be nonsingular. In the next section, we make consideration of this condition to design the NLPPUFB. 2) K = 3: The problem is to calculate ˆa1 in Fig. 3(b). In this case, we have a0 = B11Jx1 + B12Jx0 = [.

A nonlinear elastic deformable template for soft ...
Modern medical imaging systems can provide a lot of data explaining the anatomy and function of a .... applications in medical image analysis. ... model is a summary representation of the manual segmentation of a (large, as big as possible).

and PD-PID Controllers for a Nonlinear Inverted Pendulum System
nonlinear problem with two degrees of freedom (i.e. the angle of the inverted pendulum ..... IEEE Region 10 Conf. on Computers, Communications, Control and.

A Study of Nonlinear Forward Models for Dynamic ...
644727) and FP7 European project WALK-MAN (ICT 2013-10). .... placement control for bipedal walking on uneven terrain: An online linear regression analysis.

A nonlinear elastic deformable template for soft ...
motion) are such that no generic method has truly emerged yet for routine practice. ...... registration approach for the pet, mr and mcg cardiac data fusion Med.

The subspace Gaussian mixture model – a structured model for ...
Aug 7, 2010 - We call this a ... In HMM-GMM based speech recognition (see [11] for review), we turn the .... of the work described here has been published in conference .... ize the SGMM system; we do this in such a way that all the states' ...

Conductive gels for field homogenization in ...
Oct 31, 2008 - in Biophysics, University of California at Berkeley, Berkeley, CA 94720 ... 4 Center for Bioengineering in the Service of Humanity and Society, School of Computer Science ..... Such ideal distribution is best approximated for gel.

Homogenization of locally resonant interface for wave ...
homogenization, we end up with interface parameters entering in jump ... Depending on the frequency, a perfect transmission (Left) or a perfect reflection.

A stochastic representation for fully nonlinear PDEs and ...
where u(t, x) is a solution of PDE (0.1)-(0.2) and (Ys,Zs)s∈[t,T] is a unique pair of adapted .... enization by analytic approaches is also an interesting subject.

A two-grid approximation scheme for nonlinear ...
analysis of the Fourier symbol shows that this occurs because the two-grid algorithm (consisting in projecting slowly oscillating data into a fine grid) acts, to some ...

singularly perturbed loads for a nonlinear traction ...
define a problem on a domain with a cavity. We fix once for all n ∈ N \ {0,1}, α ∈]0,1[, ω ∈]1 − (2/n),+∞[, where N denotes the set of natural numbers including 0.