Derivation of a homogenized bending--torsion theory for rods with micro-heterogeneous prestrain
Robert Bauer, Stefan Neukamm, Mathias Sch\"affner

TL;DR
This paper derives a homogenized bending-torsion theory for micro-heterogeneous prestrained rods using $ ext{Gamma}$-convergence, revealing size-dependent effects and applications to advanced materials.
Contribution
It introduces a novel homogenized model capturing the macroscopic effects of micro-heterogeneous prestrain in rods, including a formula for spontaneous curvature-torsion tensor.
Findings
Size-effect: transition from flat to curved minimizers with changing $ extgamma$
Explicit formula for spontaneous curvature-torsion tensor
Application to nematic liquid-crystal-elastomer rods
Abstract
In this paper we investigate rods made of nonlinearly elastic, composite--materials that feature a micro-heterogeneous prestrain that oscillates (locally periodic) on a scale that is small compared to the length of the rod. As a main result we derive a homogenized bending-torsion theory for rods as -limit from 3D nonlinear elasticity by simultaneous homogenization and dimension reduction under the assumption that the prestrain is of the order of the diameter of the rod. The limit model features a spontaneous curvature-torsion tensor that captures the macroscopic effect of the micro-heterogeneous prestrain. We device a formula that allows to compute the spontaneous curvature-torsion tensor by means of a weighted average of the given prestrain. The weight in the average depends on the geometry of the composite and invokes correctors that are defined with help of boundary value…
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Derivation of a homogenized bending–torsion theory for rods with micro-heterogeneous prestrain
Robert Bauer [email protected] Faculty of Mathematics, Technische Universität Dresden
Stefan Neukamm [email protected] Faculty of Mathematics, Technische Universität Dresden
Mathias Schäffner [email protected] Mathematisches Institut, Universität Leipzig
Abstract
In this paper we investigate rods made of nonlinearly elastic, composite–materials that feature a micro-heterogeneous prestrain that oscillates (locally periodic) on a scale that is small compared to the length of the rod. As a main result we derive a homogenized bending–torsion theory for rods as -limit from 3D nonlinear elasticity by simultaneous homogenization and dimension reduction under the assumption that the prestrain is of the order of the diameter of the rod. The limit model features a spontaneous curvature–torsion tensor that captures the macroscopic effect of the micro-heterogeneous prestrain. We devise a formula that allows to compute the spontaneous curvature–torsion tensor by means of a weighted average of the given prestrain. The weight in the average depends on the geometry of the composite and invokes correctors that are defined with help of boundary value problems for the system of linear elasticity. The definition of the correctors depends on a relative scaling parameter , which monitors the ratio between the diameter of the rod and the period of the composite’s microstructure. We observe an interesting size-effect: For the same prestrain a transition from flat minimizers to curved minimizers occurs by just changing the value of . Moreover, in the paper we analytically investigate the microstructure-properties relation in the case of isotropic, layered composites, and consider applications to nematic liquid–crystal–elastomer rods and shape programming.
MSC2010: 74B20, 74K10, 35B27, 74Q05.
Keywords: homogenization, dimension reduction, elastic rods, prestrain, residual stress
Contents
1 Introduction
Motivation.
Residual stress can have a tremendous effect on the mechanical behavior of slender elastic structures: Equilibrium states of elastic thin films and rods with residual stresses often have a complex shape in equilibrium, and may feature wrinkling and symmetry breaking. Many natural and synthetic materials feature residual stresses due to different physical principles, e.g., growth of soft tissues [6, 12], swelling and de-swelling in polymer gels [22], thermo-mechanical coupling in nematic liquid crystal elastomers [49], and thermal expansion in production processes. These mechanisms may be triggered by different stimuli (such as temperature, light, and humidity), and are exploited in the design of active thin structures—elastic structures that are capable to change from an initially flat state into a 3D “programmed” configuration in response to external stimuli, see [23] and [45] for a recent review on shape shifting flat soft matter. Modeling of such structures, requires (next to a description of the stimuli process) a good understanding of the highly nonlinear relation between residual stresses and the geometry of the equilibrium shape. Although intensively studied, no satisfying understanding of this relation has been obtained so far. This is especially the case for composite materials, where material properties and residual stresses feature microstructure—a situation that is relevant for future applications, since “Shape-changing materials offer a powerful tool for the incorporation of sophisticated planar micro- and nano-fabrication techniques in 3D constructs” as pointed out in [45].
Overview of results.
In this paper we investigate rods made of nonlinearly elastic, composite–materials that feature a micro-heterogeneous prestrain (or residual stress) that oscillates (locally periodic) on a scale that is small compared to the length of the rod. Our starting point is the energy functional of -nonlinear elasticity with a cylindrical reference domain :
[TABLE]
It depends on two small parameters and (describing the thickness of the rod and the period of the composite), and describes prestrain with help of a tensor field , see Section 2.1 for the continuum–mechanical interpretation. We suppose to describe a non-degenerate, nonlinear material with stress–free reference state. Moreover, we assume that the amplitude of the prestrain is comparable to the diameter of the rod, i.e., so that with a tensor field that is uniformly bounded in and . We suppose that both, the prestrain tensor and the elasticity tensor (obtained by linearization of at the identity) converge in a two-scale sense, see Section 2.2 for the precise definition.
As a main result (see Theorem 2.7) we derive the -limit as of (1) in the bending regime. In this simultaneous homogenization and dimension reduction limit, we obtain a homogenized bending–torsion theory for rods that features a spontaneous curvature–torsion tensor . It captures the macroscopic effect of the micro-heterogeneous prestrain:
[TABLE]
where bending and torsion of the rod is described by the isometry and an attached orthonormal frame , . The elastic moduli of the rod are described by the quadratic form . It is positive definite on skew symmetric matrices and can be computed by a linear relaxation and homogenization formula from —the fourth order elasticity tensor obtained by linearizing at identity. While it is difficult to study energy minimizers of (1) directly, energy minimizers of (2) can easily be obtained by integrating the spontaneous curvature–torsion field . It turns out that depends on the two-scale limit of (nonlinearly) and on (linearly). In addition, we observe that both and depend on the relative–scaling parameter .
Next to the -convergence result, we introduce an effective scheme to evaluate and which invokes the definition of suitable correctors that are characterized by corrector equations that essentially come in form of boundary value problems for the system of linear elasticity, see Proposition 3.1. The spontaneous curvature–torsion tensor is obtained as weighted average of the prescribed prestrain tensor with weights given by the correctors. For isotropic composites with a laterally layered microstructure, we can solve the corrector equations by hand and we obtain explicit formulas for the and , see Lemma 4.1. We observe a significant qualitative and quantitative dependence of on the relative–scaling parameter . In particular, we device an example of a prestrain that yields a transition from a straight minimizer (i.e., ) to a curved minimizers (i.e., ) by only changing the value of , see Section 4.2. Moreover, we briefly discuss applications to nematic liquid crystal elastomers in Section 4.3, and shape programming in Section 4.4.
Survey of the literature.
The derivation of mechanical models for rods has a long history. For modeling based on equilibria of forces or conservation of momentum, and derivations via formal asymptotic expansions or based on the assumption of a kinematic ansatz we refer the reader to [4, 5, 9, 31]. In contrast to these works, we take the perspective of energy minimization, and our result is an ansatz-free derivation that is based on the -convergence methods developed by Friesecke, James & Müller in [16], in particular the geometric rigidity estimate. If we replace in (1) the prestrain tensor by the identity matrix, then we recover a standard 3D nonlinear elasticity model without prestrain, i.e., with a stress–free reference configuration. In that case the limit with fixed, corresponds to a dimension reduction problem (without homogenization) studied by Mora & Müller in [32] where for the first time a bending–torsion theory for inextensible rods has been derived via -convergence. On the other hand, the limit corresponds to simultaneous homogenization and dimension reduction and is studied by the second author in [34, 35], see also [36, 37, 19, 47] where the same problem for plates is considered. First results that combine dimension reduction in the presence of a prestrain are due to Schmidt: In [42, 43] prestrained bending plates are obtained from 3D nonlinear elasticity; see also [28] on the derivation of a model for prestrained von Kármán plates, and [1] where applications to models for nematic liquid crystal elastomers are studied. Our result can be viewed as a combination of Schmidt’s work with [34, 35]. We note that a simplified version of our main result is announced in the second author’s thesis [34] (together with a rough sketch of the proof). Recently, the derivation of prestrained bilayer rods has been investigated by Kohn & O’Brien [24] and Cicalese, Ruf & Solombrino [10]. In these interesting works not only energy minimizers are studied, but also the convergence of critical points is established and a comparison with experiments [44] is discussed. Another interesting direction of active research on related topics are the derivation and analysis of ribbons, e.g., [2, 15, 14].
In the results discussed so far the prestrain (if present) is assumed to be infinitesimally small. In the last decade, dimension reduction for finite prestrain (yet smoothly varying on a macroscopic scale) has been studied in the framework of non-Euclidean elasticity theory [13], e.g., [25, 28, 29, 8, 27] for the derivation of non-Euclidean theories for rods and plates. Rods and shells with nontrivially curved reference configuration lead to similar models when being pulled back to a flat reference configuration (cf. Remark 3 below), e.g., see [41, 46, 20, 21] for shells. We refer to [7] for a recent review on numerical simulation methods for rods and plate models.
Structure of the paper.
We introduce the general framework in Section 2. In particular, we explain the modeling of prestrained composites (based on a multiplicative decomposition of the strain) in Section 2.1. The 3D model and its limit are described in Sections 2.2 and 2.3. In Section 2.4 we present an abstract definition of the homogenization and averaging formulas that determine and . In Proposition 3.1 in Section 3 we describe the effective evaluation scheme for these formulas. It is based on the notion of suitable correctors. Eventually, in Section 4 we discuss various applications of the theory to isotropic material for which the correctors, homogenization-, and averaging formulas can be evaluated by hand. All proofs are contained in Section 5.
1.1 Notation
- •
denotes the standard basis of .
- •
Given we write to denote the unique matrix in given by for all .
- •
We write , , and for the space of symmetric, skew-symmetric, and rotation matrices in . We denote the identity matrix by .
- •
We decompose into the in-plane component and the out-of-plane components .
- •
For all we set . We tacitly drop the argument and simply write (instead of ).
2 General framework and statement of main results
In this section we state the general framework and our main result.
2.1 A model for prestrain in nonlinear elasticity.
We start by presenting a model for prestrained composites in nonlinear elasticity. We first introduce a class of stored energy functions:
Definition 2.1** (Nonlinear and linearized material law).**
Let , , and let denote a monotone function satisfying .
- •
The class consists of all measurable functions such that,
- (W1)
is frame indifferent: for all , .
- (W2)
is non degenerate:
[TABLE]
- (W3)
is minimal at : .
- (W4)
admits a quadratic expansion at :
[TABLE]
where is a quadratic form.
- •
The class consists of all quadratic forms on such that
[TABLE]
We associate with the fourth order tensor defined by the polarization identity \langle\mathbb{L}F,G\rangle:=\frac{1}{2}\big{(}Q(F+G)-Q(F)-Q(G)\big{)}.
Stored energy functions of class describe materials that have a stress-free reference state (cf. ), and that can be linearized at that state (e.g., in the sense of -convergence, see [11, 33, 17, 34]). The elastic moduli of the linearized model are given by the quadratic form in condition , and we have:
Lemma 2.2** (see Lemma 2.7 in [35]).**
Let and denote by the quadratic form in . Then .
We describe prestrained composites with help of a multiplicative decomposition of the strain. To motivate this decomposition, we consider for a moment a composite consisting of two materials. We suppose that each of the materials can be described w.r.t. their individual stress-free reference configurations by stored energy functions , respectively. Let denote a common reference configuration of the composite and suppose that material–one (resp. –two) occupies the subdomain (resp. ). We suppose that material–one is stress-free in the reference configuration , and thus the elastic energy coming from material–one is captured by . On the other hand, we suppose that material–two is prestrained in the following sense: If we separate an (infinitesimally small) test-volume from the rest of the body, then it relaxes to a stress-free (energy minimizing) state described by an affine deformation where is positive definite and independent of , see Figure 1 for illustration. Thus, defines an alternative, stress-free reference state for material–two, and the elastic energy of a deformation defined relative to is given by . Since the original deformation and are related by (for ), we deduce that the energy functional on the level of associated with material–two is given by
[TABLE]
Hence, the energy functional for the whole composite takes the form
[TABLE]
This corresponds to a multiplicative decomposition of the strain. Similar decompositions are used in models for finite strain elasto-plasticity [26] (where is called the plastic strain tensor and is given by a flow rule), or in biomechanical models for growth and remodeling of tissues and plants, e.g., see [40, 18].
If the prestrain is small, then we can simplify the decomposition: Suppose that with , , and . Then for , can be inverted by the Neumann Series A^{-1}=\Big{(}\sum_{k=0}^{\infty}(hB)^{k}\Big{)}R^{-1}=(\operatorname{Id}+hB)R^{-1}+O(h^{2}). Moreover, . Hence, we arrive at an energy functional of the form \int_{\Omega}W\Big{(}x,\nabla u(x)(\operatorname{Id}+hB(x))\Big{)}\,dx with and a tensor . The functional describes (up to an error of order smaller than ) a composite material with heterogeneous prestrain .
2.2 The three-dimensional model.
Let be a Lipschitz domain (open, bounded and connected)—the cross-section of the rod. We may assume without loss of generality that
[TABLE]
(this can always be achieved by applying a rigid motion). Set . We denote by the reference configuration of the rod with thickness . For our purpose it is convenient to describe the deformation w.r.t. the rescaled reference domain , and thus consider for the scaled deformation gradient,
[TABLE]
Rescaling (1) and assuming that the prestrain takes the form yields an energy functional of the form ,
[TABLE]
This parametrized energy functional is the starting point of our derivation. We make the following assumption on the material law:
Assumption 2.3** (Material law).**
Let be fixed (as in Definition 2.1). Let be a sequence of Borel-functions such that,
- (i)
for almost every and for every .
We suppose that there exists such that
- (ii)
is a quadratic form that is piecewise continuous in and periodic in . More precisely,
- (a)
for a.e. , , 2. (b)
is -measurable for all , 3. (c)
The fourth order tensor associated with (cf. Definition 2.1) satisfies
[TABLE] 4. (d)
is periodic for a.e. and . 2. (iii)
The quadratic expansion at identity of (cf. ) satisfies
[TABLE]
Regarding the prestrain, we suppose that is locally periodic. Our precise assumption on involves the notion of two-scale convergence in a variant for slender domains [34, 35] (see [38, 3] for the original definition of two-scale convergence). Since this variant of two-scale convergence is sensitive to the relative scaling between and , we introduce a parameter describing the relative scaling of and .
Assumption 2.4** (Relative scaling of and ).**
We suppose that there exists and a monotone function such that and .
Definition 2.5** (Two-scale convergence).**
Let and denote by the one-dimensional torus. We say a sequence , , weakly two-scale converges in to a function as , if is bounded in and
[TABLE]
where is as in Assumption 2.4. We say strongly two-scale converges to if additionally . We write in (resp. ) for weak (resp. strong) two-scale convergence in .
Remark 1*.*
Note that this notion of two-scale convergence changes if we change the parameter . A prototypical example of a strongly two-scale convergent sequence is as follows: Let , then strongly two-scale converges in to .
Assumption 2.6** (Prestrain).**
We suppose that there exists such that
[TABLE]
2.3 Limiting model and -convergence.
Under the assumptions above, we can pass to the -limit of as . We obtain as a limit a functional defined on the the set of all deformations of the rod that describe (length-preserving) bending- and twisting-deformations, and an infinitesimal stretch:
[TABLE]
The -limit is given by ,
[TABLE]
where (the homogenized elastic moduli), (the spontaneous curvature–torsion tensor), (the spontaneous infinitesimal stretch), and (the incompatibility of the prestrain) are quantities that only depend on the linearized material law , the prestrain , the geometry of the cross-section , and the scale ratio ; in particular,
- •
is a constant given in Definition 2.11 below,
- •
is a positive–definite quadratic form given by the homogenization formula of Definition 2.8 below,
- •
and are given by the averaging formula of Definition 2.11 below.
Our main result establishes -convergence of to :
Theorem 2.7** (-convergence).**
Suppose Assumptions 2.3 – 2.6 are satisfied. For denote by
[TABLE]
the (scaled) nonlinear strain tensor. Then:
- (a)
(Compactness). Let be a sequences with equibounded energy, i.e.
[TABLE]
Then there exists and a subsequence (not relabeled) such that
[TABLE]
- (b)
(Lower bound). Let be a sequence that converges to some in the sense of (10) and (11). Then
[TABLE]
- (c)
(Recovery sequence). For any there exists a sequence converging to in the sense of in the sense of (10) and (11) such that
[TABLE]
(For the proof see Section 5.1).
Remark 2*.*
Theorem 2.7 also yields a compactness and -convergence result towards a (more conventional) pure bending–torsion model. Indeed, by part (a) of Theorem 2.7 every sequence with equibounded energy satisfies (10) for some rod-deformation satisfying (6). Furthermore, by minimizing over the statements of the parts (b) and (c) in Theorem 2.7 hold with and replaced by and (see Remark 4 below for a more explicit characterization of ).
2.4 Homogenization- and averaging formulas.
The definitions of , , and rely on the two-scale structure of limiting strains. To motivate the upcoming formulas, we recall a two-scale compactness statement for the nonlinear strain, see [35, Theorem 3.5] (and also Proposition 5.1 below): Suppose is a sequence with equibounded energy (cf. (9)) with limit (cf. (10), (11)), then (up to a subsequence) the associated scaled nonlinear strain tensors weakly two-scale converge in to a limiting strain of the form
[TABLE]
Above, where is defined as follows:
[TABLE]
Note that on the right-hand side in (12) the first and second term are determined by the limiting deformation . Only the third term —the only term that involves the fast variable —depends on the chosen subsequence. We call it the strain corrector. For the following discussion it is convenient to define for the affine map
[TABLE]
and to introduce the two-scale strain space
[TABLE]
Since is skew-symmetric (almost surely) for , the limiting strain of (12) satisfies .
Formula for .
As in [35] the homogenized quadratic form is defined by minimizing out the energy contribution coming from :
Definition 2.8** (homogenization formula for ).**
We define by
[TABLE]
Remark 3*.*
We emphasize that the definition of depends on the small-scale coupling via the relaxation space .
Remark 4*.*
As already discussed in Remark 2, a pure bending–torsion model is obtained from by minimizing out the stretch variable . This can be made more explicit as follows:
[TABLE]
where
[TABLE]
The quadratic form coincides with the homogenized quadratic form given in [35] where the case without prestrain is studied.
Formulas for and .
We first present a “geometric” definition—an alternative “algorithmic” definition that is more practical for numerical investigations is presented in Section 3 below. The geometric definition invokes the following Hilbert-space structure on : Let denote the symmetric fourth-order tensor obtained from the quadratic form by polarization, and consider for ,
[TABLE]
Since is positive-definite and bounded on symmetric matrices, defines a scalar product on . We write for the associated norm and note that
[TABLE]
and (see (13) and (15)) are closed, linear subspaces of . We denote by (resp. ) the -orthogonal complement of in (resp. in ), and by and the associated -orthogonal projections. We thus have the orthogonal decomposition,
[TABLE]
A direct consequence is the following observation:
Lemma 2.9** (Pythagoras).**
For all and ,
[TABLE]
In particular, we obtain the following characterization of :
[TABLE]
It turns out that any admits a representation via a unique pair :
Lemma 2.10** (Representation).**
For all the map
[TABLE]
defines a linear isomorphism and there exists a constant such that
[TABLE]
(For the proof see Section 5.2).
We denote by the unique bounded operator on defined by the identity
[TABLE]
and define and analogously. We are now in position to define and :
Definition 2.11** (averaging formula for and ).**
We set
[TABLE]
and define as the unique field such that
[TABLE]
3 Evaluation of the homogenization formulas via BVPs
The definitions of , and (see Definitions 2.8 and 2.11) are rather abstract. In this section we present a characterization that replaces the “abstract” operator in these definitions by boundary value problems for the system of linear elasticity on the domain . To benefit from the linearity of the map , we set
[TABLE]
and note that this defines an orthonormal basis of . Moreover, we introduce the maps ,
[TABLE]
see (14) for the definition of . Note that spans the macroscopic strain space. In particular, corresponds to an infinitesimal stretch (in tangential direction); () corresponds to bending in direction , and corresponds to a twist.
We have the following scheme to evaluate the homogenized quantities:
Proposition 3.1**.**
For we define the following objects:
- (i)
The strain correctors () as the unique solution in to
[TABLE] 2. (ii)
The averaging matrix as the unique matrix with entries
[TABLE] 3. (iii)
The vector representation of the strain as the unique vector with entries
[TABLE]
where denotes the prestrain tensor of Assumption 2.6.
Then:
- (a)
* is symmetric positive definite and we have (in the sense of quadratic forms) for a constant .* 2. (b)
The map is piecewise continuous. 3. (c)
For all we have
[TABLE] 4. (d)
With we have the identities
[TABLE]
(For the proof see Section 5.2).
Remark 5* (Averaging and homogenization).*
The proposition shows that the spontaneous curvature–torsion tensor and the spontaneous infinitesimal stretch linearly depend on , and thus, the passage from to can be interpreted as a spatial average with a correction that takes the micro heterogeneity of the material, the cross-section , and the scale ratio into account. This is in contrast to the relation between and , which is nonlinear and given by a homogenization formula that has already been obtained in [35] where the case without prestrain is discussed. In [24, Theorem 2], a corresponding formula to (29) is derived in the case of a homogeneous material law and a non-oscillatory prestrain.
Next, we derive boundary value problems (BVP) that allow to compute (26), and to represent the strain correctors .
Lemma 3.2** (Characterization of the strain corrector via BVP).**
Fix and . Set , and let be the solution to
[TABLE]
- (a)
Let . Set and . Then , where denotes the unique solution to
[TABLE]
subject to
[TABLE] 2. (b)
Let . Consider the Hilbert space
[TABLE]
Then the map
[TABLE]
defines an isomorphism, and we have , where denotes the unique solution to
[TABLE] 3. (c)
Let . Consider the Hilbert space
[TABLE]
Then the map
[TABLE]
defines an isomorphism, and we have , where denotes the unique solution to
[TABLE]
(For the proof see Section 5.2).
4 Examples and explicit formulas for isotropic materials
In this section we restrict our analysis to isotropic materials and the extreme regimes and , i.e., . In that case the homogenized quantities—the matrix from Proposition 3.1—can be computed by hand, see Lemma 4.1 below. We further specify the findings of Lemma 4.1 in the case of a bilayer material which was studied in the homogeneous case in [10, 24]. We observe a dramatic size effect: We give an explicit example of a prestrain that produces zero spontaneous bending in the case but non-zero bending in the case . Moreover, we apply Lemma 4.1 to prestrain tensors that originate from models for nematic liquid crystal elastomers and compare the results with the findings of [1, 2] in the context of ribbons. Finally, we address shape programming.
4.1 Isotropic, laterally periodic composites.
Throughout this section we suppose that the composite is isotropic, periodically oscillating in longitudinal direction, and constant in cross-sectional direction, i.e., we suppose that (cf. Assumption 2.3) is of the form
[TABLE]
with (periodic) Lamé-constants that are (essentially) non-negative, and . We recall the definition of some standard moduli for isotropic elastic materials:
[TABLE]
The formulas for the elastic moduli of the effective model involve the arithmetic and harmonic mean. To shorten notation, for we set
[TABLE]
Furthermore, we define the effective moduli
[TABLE]
and note that and for homogeneous, isotropic materials. Next to the elastic moduli, the homogenized model depends on the geometry of the cross–section . To capture this effect, we denote by the unique minimizer to
[TABLE]
satisfying . Following [32, Remark 3.5], we refer to the function and the parameter as the torsion function and the torsional rigidity.
The following lemma yields an explicit expression for the averaging matrix of Proposition 3.1 in terms of averages of the Lamé-constants, the torsional rigidity and the torsion function. It can be seen as an extension of the analysis in [32] and [24, Theorem 3] to periodic composites and periodic prestrain.
Lemma 4.1** (Effective properties in the isotropic case).**
Let . Let be non-negative and satisfy . Suppose that (cf. Assumption 2.3) is of the form (31). Then:
- (i)
the strain correctors , defined via (26) satisfy
[TABLE] 2. (ii)
The matrix of Proposition 3.1 satisfies
[TABLE] 3. (iii)
The vector of Proposition 3.1 satisfies
[TABLE]
where
[TABLE] 4. (iv)
The vector of Proposition 3.1 is given by for , and it holds
[TABLE]
where and .
(For the proof see Section 5.3).
Remark 6* (General observations).*
The qualitative dependency of the spontaneous curvature–torsion tensor
[TABLE]
on the geometry of , the prestrain and the material law can be summarized in the following diagram.
[TABLE]
In [24, Theorem 3] the statement of Lemma 4.1 is given in the case of a homogeneous material and non-oscillatory prestrain. The values for the induced torsion in the case and for the induced stretching and bending in the case coincides with the findings of [24] applied to the averaged prestrain . In the case the values of differ substantially from the homogeneous case. Finally, we note that given in (35) satisfies . In particular, for homogeneous isotropic materials, i.e. and are constant, the vector coincides in the cases and .
4.2 Example 1: Isotropic bilayer with isotropic prestrain.
Set and choose for some . Then, it is easy to check that and thus and
[TABLE]
Next, we consider an isotropic two-phase composite where the first Lamé constant is constant and the shear moduli oscillates. More precisely, for given we set
[TABLE]
and for all .
Note that in the case the map induced infinitesimal stretch and bending are affine in the volume fraction and (i.e. ) implies . In the case the map is in general non-linear and non-monotone (see Figure 2). Indeed, we have
[TABLE]
Recall that for , we have , but for and ,
[TABLE]
4.3 Example 2: Nematic rods.
Liquid crystal elastomers are solids made of liquid crystals (rod–like molecules) incorporated into a polymer network. In a nematic phase (at low temperature) the liquid crystals show an orientational order and the material features a coupling between the entropic elasticity of the polymer network and the LC-orientation. The latter leads to a thermo-mechanical coupling that can be used in the design of active thin sheets that show a complex change of shape upon thermo-mechanical (or photo-mechanical) actuation, see [50]. Following [49, 39] we describe the elastic energy of a nematic elastomer by the functional
[TABLE]
where the so-called step-length tensor is given by
[TABLE]
Above is a director field that describes the local orientation of the liquid crystals, and is a scalar order parameter. In [8] a non-Euclidean bending plate model is derived via -convergence from (36) under the assumption that the director field is sufficiently smooth and satisfies additional structural assumptions (in particular it is assumed to be constant in the thickness direction). In [1], the authors derive a plate model from the energy (36) with director fields that are allowed to have large variations across the thickness but with the simplifying assumption that in (37) is replaced by with , where denotes the thickness of the plate. Under this assumption, we have
[TABLE]
Two specific choices for the director field were studied in [1, 2] in detail for the case of plates and ribbons:
[TABLE]
In the following, we present the spontaneous curvature–torsion vector for prestrains defined via (38) with director fields corresponding to splay bend- and twist configurations. To be precise, set and consider for simplicity the case of an isotropic and homogeneous material law, that is (cf. Assumption 2.3) is of the form with and .
- •
(splay bend). For given , set . Then,
[TABLE]
- •
(twist). For given , set . Then,
[TABLE]
(For details on the calculations, we refer to Appendix A.1)
Let us now compare the above findings with the results in [1, 2]: In [1] the authors derive a -plate model from the energy (36) with . Starting from the resulting plate model a -ribbon model is derived in [2] by cutting out a thin strip from the plate (in a certain angle ) and perform a dimension reduction limit similar to [14]. The limit model is based on a non-quadratic non strictly-convex function of bending and torsion. Hence, we cannot compare the results directly but at least, up to a non-vanishing prefactor, the preferred bending-torsion derived above lies in the set of preferred bending-torsion given by the model in [2].
4.4 Application: Shape programming via isotropic prestrain.
In view of applications it is desirable to recover a given “target” spontaneous curvature–torsion tensor (cf. Definition 2.11) by mixing simple microscopic building blocks that come in the form of parametrized microstructures. Recall that determines (up to an additive constant) the minimizer of the functional (17) (and of (7) up to the infinitesimal stretch). Next, we show that a simple isotropic prestrain suffices to prescribe the bending part of . To simplify the computations, we consider the following specific situation:
- •
The material is isotropic and homogeneous, i.e., we assume that (cf. Assumption 2.3) is of the form with and being fixed from now on,
- •
The cross-section of the rod is circular, i.e. .
- •
The prestrain tensor of Assumption (2.6) either vanishes or is equal to , and the local prestrain microstructure is captured by the 2-parameter family
[TABLE]
with angle and volume-fraction , see Figure 4 for illustration. More precisely, we assume that for a.e. we have for suitable parameters and .
- •
The relative scaling parameter satisfies .
The upcoming result implies that any isometric curve with can be recovered as a minimizer of a rod with a microstructured prestrain of the form
[TABLE]
where and are suitable “designs”. Since any isometric is characterized (up to a rigid motion) by the first column of an associated , we only need to establish the following statement:
Lemma 4.2**.**
To any satisfying
[TABLE]
we can find “designs” and such that the spontaneous curvature–torsion tensor of Theorem 2.7 associated with the prestrain tensor defined in (39) satisfies
[TABLE]
Proof.
[TABLE]
and thus
[TABLE]
where and are defined in (25). The claim follows. ∎
5 Proofs
5.1 Main result – Proof of Theorem 2.7
We first state a compactness and approximation result which is a simple consequence of [35, Proposition 3.2] and [35, Theorem 3.5].
Proposition 5.1**.**
- (a)
(Compactness and identification). Suppose that satisfies
[TABLE]
Then there exist , and a subsequence (not relabeled) satisfying (10), (11), and
[TABLE]
where and are defined in (8) and (14), respectively. 2. (b)
(Approximation). For all and there exists a sequence satisfying (10), (11), and
[TABLE]
Proof of Proposition 5.1.
**Step 1. ** Proof of (a).
By [35, Proposition 3.2] there exist and a subsequence (not relabeled) satisfying (10). Moreover, by [35, Theorem 3.5] there exists and such that, up to extracting a further subsequence (not relabeled), we have
[TABLE]
(By the argument in [35, Proof of Theorem 3.5 (a), Step 4] it a posteriori follows that the rotation field in (10) and (43) are the same). Hence, it is left to show (11). By two-scale convergence, for every we have
[TABLE]
By (3) and the definition of , we have for almost every ,
[TABLE]
Combining (44) and (45), we obtain (11).
**Step 2. ** Proof of (b).
Let be given. By part (b) of [35, Theorem 3.5], we find satisfying (10) and (42). The same argument as in Step 1 yields that also satisfies (11).
∎
We recall the following (lower semi-)continuity result with respect to two-scale convergence:
Lemma 5.2** ([35], Lemma 4.8).**
Fix . Let and be as in Assumption 2.3, and let be a sequence in .
- (a)
If weakly two-scale in , then
[TABLE]
- (b)
If strongly two-scale in , then
[TABLE]
Notice that in [35] the statement of Lemma 5.2 is proven, following arguments of [48], under the assumption that is continuous for almost every . Evidently, this extends to the piecewise continuous case considered here.
Now, we are in position to prove Theorem 2.7. We follow the argument in [35].
Proof of Theorem 2.7.
**Step 1. ** Compactness.
In view of Proposition 5.1 it suffices to show that for every sequence
[TABLE]
By the triangle inequality,
[TABLE]
Since (by assumption), there exists such that for . Hence, for ,
[TABLE]
Now, (41) follows by non-degeneracy of , cf. (W2), and the equiboundedness of in .
**Step 2. ** Lower bound.
Let be such that (10) and (11) are valid for some . Without loss of generality, we may assume that
[TABLE]
By Proposition 5.1 (a), there exists such that (42) holds (up to possibly extracting a further subsequence). To shorten notation, we set
[TABLE]
*Substep 2.1. * We claim that
[TABLE]
The bound follows by a careful Taylor expansion. To that end, set
[TABLE]
By construction there exists such that for all we have on . Thus, by polar-factorization, for all and there exists such that . Thanks to the non-negativity of , frame-indifference (W1), the quadratic expansion (W4), and minimality at identity (W3), we get
[TABLE]
where in the last line we used that . Since and are bounded in and since (by assumption), we get
[TABLE]
From , and , and since (boundedly in measure), we get
[TABLE]
and thus (46) follows with help of Lemma 5.2.
*Substep 2.2. * Conclusion
Recall that for a.e. . Hence,
[TABLE]
By Definition 2.11 we have for a.e. , and thus with (46) we get
[TABLE]
**Step 3. ** Limsup inequality.
Let be given. For convenience set . By Lemma 2.9, (21), and Definition 2.11 we have
[TABLE]
In view of (19) we have , where denotes the identity operator on . Since , we get the decomposition
[TABLE]
Combined with (47) we arrive at
[TABLE]
By construction we have , and thus by Proposition 5.1 there exists a sequence satisfying (10), (11), and
[TABLE]
(50) implies for all sufficiently small. Hence, combining the polar-factorization of , frame indifference of , and (W4), we get
[TABLE]
Since and are uniformly bounded in , and by (5) and (50), we obtain that in . Moreover, (49), Assumption 2.6 and (5) imply
[TABLE]
Hence, Lemma 5.2 and (48) yield
[TABLE]
∎
5.2 Homogenization formulas via BVPs – Proofs of Lemma 2.10, Proposition 3.1 and Lemma 3.2
Proof of Lemma 2.10.
Throughout the proof we denote by a positive constant that can be chosen only depending on and . By construction is linear and bounded. A standard argument from functional analysis implies that is an isomorphism, if is surjective and satisfies (22). Surjectivitiy follows from the fact that , which implies that for every . The upper bound in (22) is a consequence of (18). We prove the lower bound. Since , for any there exists such that . By the properties of the orthogonal projection,
[TABLE]
This variational problem has a unique solution, and the associated solution operator , is linear and bounded. By the lower bound in (18), we thus obtain
[TABLE]
where and \big{(}\cdot,\cdot\big{)} denote the standard norm and scalar product in (i.e. ). It is easy to see that is -orthogonal to and . Thus,
[TABLE]
Moreover, by the short argument in [35, Step 3, Proof of Proposition 2.13], we have
[TABLE]
This completes the argument for the lower bound in (18). ∎
Proof of Proposition 3.1.
**Step 1. ** Argument for (c).
The definition of and (26) yield for the identity
[TABLE]
Hence, by (21)
[TABLE]
which proves the claim.
**Step 2. ** Argument for (a).
The symmetry of is obvious (see (27)). Since for almost every (see Assumption 2.3), the identities (21) and (28) yield
[TABLE]
for every . Hence, (22) implies that is positive definite.
**Step 3. ** Argument for (b).
By the definition of it suffices to show that the map is piecewise continuous. For every and , we have
[TABLE]
Hence, the piecewise continuity of yields the piecewise continuity of .
**Step 4. ** Argument for (d).
Let be defined via the identity (29). For every and almost every , we have
[TABLE]
which proves the claim.
∎
Proof of Lemma 3.2.
**Step 1. ** The case . It is easy to see that the map
[TABLE]
defines a linear and bounded surjection. Thanks to Korn’s inequality in form of [35, Proposition 6.12], is also injective, and thus an isomorphism. Thus, is characterized by the equation
[TABLE]
By the definition of , and thanks to the fact that , the above equation can be written in the form
[TABLE]
**Step 2. ** The case . Similarly to the previous step, we only need to show that is an isomorphism. By construction is linear, bounded and by the following observation surjective:
[TABLE]
We argue that the kernel of , denoted by , is trivial. By orthogonality we have
[TABLE]
where , and . Hence, (thanks to Poincare’s inequality)
[TABLE]
Let denote the components of . By orthogonality, we have
[TABLE]
Thus, . To see that and vanish as well, note that is equivalent to
[TABLE]
Since is not a gradient in , we deduce that and , i.e. .
**Step 3. ** The case . As in the previous step, it suffices to argue that the kernel of is trivial. By orthogonality,
[TABLE]
and thus implies (thanks to Poincaré’s inequality) and .
∎
5.3 Isotropic case – Proof of Lemma 4.1
Proof of Lemma 4.1.
We only need to prove (33a)–(33c) (which will done in Step 1 and Step 2 below). The remaining claims then follow from the observation that , and given by (33a)–(33c) are mutually orthogonal with respect to the inner product . The latter implies that is diagonal and thus a straightforward calculation yields the precise formulas for the entries of , and . For the argument of (33a)–(33c) we first note that defined by the variational problem (26) can be equivalently characterized as the minimizer of an associated quadratic–convex energy functional. We exploit this fact in the proof below.
**Step 1. ** The case .
- •
Argument for (33a). In view of Lemma 3.2, we have , where is a minimizer of the functional . Set
[TABLE]
where , is the basis of given in (25). Note that
[TABLE]
where . By appealing to the specific structure of we directly see that the minimizer satisfies , and that the remaining degrees of freedom , , and minimize the expression
[TABLE]
The Euler-Lagrange equation reads
[TABLE]
for all , and . With the Ansatz , with , we have and , and the above turns into
[TABLE]
where we used that is orthogonal to . From the variation in , we get , which we plug into the Euler-Lagrange equation:
[TABLE]
Thus, , and the claim follows.
- •
Argument for (33b). We only consider , the case follows in the same way. As above, we have , where is a minimizer of the functional . Analogous considerations as in the argument for (33a) yield , and that the remaining degrees of freedom , , and minimize the expression
[TABLE]
The Euler-Lagrange equation reads
[TABLE]
for all , and . With the Ansatz , , with , we have and and the above turns into
[TABLE]
where we used that is orthogonal to . Similar as in the argument for (33a), we get and and thus the claim follows.
- •
Argument for (33c). We have , where is a minimizer of the functional . Note that
[TABLE]
It is easy to see that the minimizer satisfies and , and that the remaining degrees of freedom and minimize the expression
[TABLE]
It is straightforward to see that the minimizing pair and are uniquely determined by and which proves the claim.
**Step 2. ** The case .
- •
Argument for (33a). As in Step 1, we have , where is a minimizer of the functional . By appealing to the specific structure of we directly see that the minimizer satisfies , and that the remaining degrees of freedom , and minimize the expression
[TABLE]
The Euler-Lagrange equation reads
[TABLE]
for all and . The Ansatz , yields
[TABLE]
From the variation in , we obtain (recall ) and the variation in yields
[TABLE]
and thus the claim follows.
- •
Arguments for (33b). As is Step 1, we only consider the case . We have , where is such that and the remaining degrees of freedom and minimize the expression
[TABLE]
The Euler-Lagrange equation reads
[TABLE]
for all and . We make the Ansatz with and with . Then, , and the above expression turns into
[TABLE]
From the variation in , we obtain and the variation in yields . Hence, the claim follows.
- •
Argument for (33c). We have , where is a minimizer of the functional . Analogous to the case , we obtain that and , and that the remaining degrees of freedom , and minimize the expression
[TABLE]
Appealing to the corresponding Euler-Lagrange equation, we see that the minimizer is given by , , where is uniquely characterized by \mathchoice{{\vbox{\hbox{\textstyle-}}\kern-4.86108pt}}{{\vbox{\hbox{\scriptstyle-}}\kern-3.25pt}}{{\vbox{\hbox{\scriptscriptstyle-}}\kern-2.29166pt}}{{\vbox{\hbox{\scriptscriptstyle-}}\kern-1.875pt}}\!\int_{Y}\hat{\varphi}=0 and . From this, the claim follows.
∎
6 Acknowledgments
The authors are grateful for the support by the DFG in the context of TU Dresden’s Institutional Strategy “The Synergetic University”.
Appendix A Appendix
This appendix contains some supplementary calculations for Section 4.3. The main problem is to obtain a semi-explicit characterization of the torsion function , see (32), where is the unit cube. We provide this characterization in Section A.2.
A.1 Supplementary calculations for Section 4.3
- •
Calculations for , , i.e. the preferred infinitesimal stretch and bending. Set where and a.e. By Lemma 4.1,
[TABLE]
Using , and , we easily deduce the claimed values for and with .
- •
Calculations for , i.e. the preferred twist. Here we have to distinguish between splay bend and twist.
’Splay bend’: We claim . Note that for all . Hence, , and Lemma 4.1 yield
[TABLE]
where the last equality follows from the Euler-Lagrange equation for tested with .
’Twist’: We show that
[TABLE]
For this, we use an explicit expression of the torsion function in case of the square, see Section A.2. We claim that,
[TABLE]
where is given as in (52). Before proving the identity (53), we observe that (53) implies (52). Indeed, , and Lemma 4.1 yield
[TABLE]
Next, we provide the argument for (53). We observe that, by Lemma A.1 below,
[TABLE]
where A_{n}=\frac{-16}{n^{3}\pi^{3}\sinh(n\pi)}\begin{cases}1&\mbox{if nis odd}\\ 0&\mbox{ifn is even}\end{cases}. The identity , (• ‣ A.1) and for even values of imply
[TABLE]
Straightforward calculations yield for every
[TABLE]
Next, we plug the above two identities into (• ‣ A.1) and obtain
[TABLE]
Combining the last equality with , we obtain (53).
A.2 The torsion function for the square
In this section, in contrast to all other parts of the paper, we use the notation .
Lemma A.1**.**
Set . The unique function satisfying
[TABLE]
and \mathchoice{{\vbox{\hbox{\textstyle-}}\kern-4.86108pt}}{{\vbox{\hbox{\scriptstyle-}}\kern-3.25pt}}{{\vbox{\hbox{\scriptscriptstyle-}}\kern-2.29166pt}}{{\vbox{\hbox{\scriptscriptstyle-}}\kern-1.875pt}}\!\int_{Q}\varphi_{Q}=0 can be written as
[TABLE]
where and
[TABLE]
with
[TABLE]
and the series in (58) should be interpreted as a strong limit of the partial sums.
Proof.
**Step 1. ** For , we define as
[TABLE]
where is given as in (59). We claim that strongly in , where is the unique weak solution of the Neumann boundary value problem
[TABLE]
with zero mean, i.e. and where denotes the outer normal to .
Indeed, by construction we have for every . To show that is a Cauchy sequence in , we observe that for with
[TABLE]
Appealing to and the Poincaré inequality, we obtain that is a Cauchy sequence in and thus there exists such that . Moreover, by construction is harmonic on for each and it holds on for every and for all
[TABLE]
Altogether, we have for all
[TABLE]
Hence, the using in and with in , we obtain
[TABLE]
which is precisely the weak formulation of (60).
**Step 2. ** Conclusion.
In view of Step 1, given as in (57) satisfy \mathchoice{{\vbox{\hbox{\textstyle-}}\kern-4.86108pt}}{{\vbox{\hbox{\scriptstyle-}}\kern-3.25pt}}{{\vbox{\hbox{\scriptscriptstyle-}}\kern-2.29166pt}}{{\vbox{\hbox{\scriptscriptstyle-}}\kern-1.875pt}}\!\int_{Q}\varphi_{Q}=0 and (in the weak sense)
[TABLE]
where denotes the outer normal to . Since (61) is the Euler-Lagrange equation for (56) the claim follows.
∎
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