Abstract
Growing layers on elastic substrates are capable of creating a wide variety of surface morphologies. Moderate growth generates a regular pattern of sinusoidal wrinkles with a homogeneous energy distribution. While the critical conditions for periodic wrinkling have been extensively studied, the rich pattern formation beyond this first instability point remains poorly understood. Here we show that upon continuing growth, the energy progressively localizes and new complex morphologies emerge. Previous studies have often overlooked these secondary bifurcations; they have focused on large stiffness ratios between layer and substrate, where primary instabilities occur early, long before secondary instabilities emerge. We demonstrate that secondary bifurcations are particularly critical in the low stiffness ratio regime, where the critical conditions for primary and secondary instabilities move closer together. Amongst all possible secondary bifurcations, the mode of period-doubling plays a central role - it is energetically favorable over all other modes. Yet, we can numerically suppress period-doubling, by choosing boundary conditions, which favor alternative higher order modes. Our results suggest that in the low stiffness regime, pattern formation is highly sensitive to small imperfections: surface morphologies emerge rapidly, change spontaneously, and quickly become immensely complex. This is a common paradigm in developmental biology. Our results have significantly applications in the morphogenesis of living systems where growth is progressive and stiffness ratios are low.
Keywords: thin films, growth, instabilities, bifurcation, period-doubling, period-tripling
1. Motivation
Growth-induced wrinkling instabilities are an important mechanism in the evolution and morphogenesis of living systems [26]. Typical examples range from undesired folding in asthmatic airways [28], via wrinkling in skin [9], to desired cortical folding in mammalian brains [8, 31]. A growing layer, confined by a non-growing substrate with dissimilar material properties, eventually buckles into sinusoidal wrinkles with a well-defined wavelength [27]. Continued growth beyond the onset of primary wrinkling induces secondary bifurcations associated with advanced wrinkling modes of increasing complexity [2, 6]. This coordinated self-organizing mechanism creates a wide variety of surface patterns [20] and is an essential feature of life [14]. Understanding the critical conditions for these instabilities could allow us to control of surface pattern formation during organogenesis and manipulate congenital abnormalities.
Continuum approaches toward the formation of growth-induced instabilities in living systems typically adopt the concept of finite growth [32]. They couple growth and deformations at the kinematic level using the multiplicative decomposition of the deformation gradient into an elastic and a grown part [35]. In this description, confined growth induces residual stresses and triggers mechanical instabilities [17]. The resulting wrinkled state is permanent without any external impact [30]. Soft living materials are especially susceptible to surface buckling due to low elastic moduli and high stimulus-sensitivity [26]. However, studying instabilities in living systems is challenging from a conceptual point of view: it requires nonlinear constitutive equations and low moduli ratios between layer and substrate.
Several mechanical models have contributed to understanding the critical conditions of instabilities and the corresponding wrinkling patterns. While early analytical investigations were restricted to linear elastic materials and primary wrinkling modes [1, 3], more recent studies consider nonlinear elastic material behavior [13, 29] and explain secondary bifurcations in weakly nonlinear confined systems [5, 36]. However, those studies do not consider growing materials and fail to provide profound insight into the wrinkle-to-fold transition and multiple bifurcations in highly nonlinear confined layers [30]. Growth induces a non-conventional buckling problem, in which the critical load is not applied directly, but arises from the interplay between growth and geometric constraints. This mechanism is conceptually similar to manufacturing processes including cooling or consolidation, in which the critical load results from secondary effects [15]. Understanding the highly nonlinear postbuckling behaviour and advanced wrinkling modes requires the application of nonlinear elasticity [10, 33]. Finite element modeling proves practical to further explore growth-induced folding instabilities [22]. Motivated by the clinical problem of mucosal folding during chronic airway wall remodeling [16], researchers have observed secondary folding phenomena in double-layered hollow cylindrical tubes [25]. Those numerical studies investigate stiffness ratios of layer to substrate greater than one hundred. In soft materials such as living tissue, elastomers, and gels, however, the stiffness ratio between the different layers is typically only moderate. The objective of this manuscript is to analyze the critical conditions of growth-induced primary and secondary instabilities for small stiffness ratios between layer and substrate. We illustrate the corresponding failure modes using combined analytical bifurcation analyses and computational modeling.
In Section 2, we establish an exact finite strain bifurcation analysis to establish the critical wrinkling condition for a bilayered system with a growing Neo-Hookean layer bonded to a non-growing infinitely deep Neo-Hookean substrate. In Section 3, we illustrate the corresponding continuum model based on the theory of finite growth. In Section 4, we perform computational simulations to study the critical conditions for primary and secondary instabilities. We explore advanced post-bifurcation modes including period-doubling and period-tripling. We illustrate how appropriate boundary conditions can drive the solution into different bifurcation modes and demonstrate that period-doubling is energetically favorable over period-tripling. Although our study focuses exclusively on growth-induced instabilities, we expect our results to be generally applicable to any compressed bilayered system with moderate stiffness ratios between layer and substrate.
2. Analytical Model
In this section, we discuss the general condition for the onset of wrinkling in a constrained bilayered system in which uniform growth occurs in the layer and no growth occurs in the infinitely deep substrate. We will later see that our results easily generalize to growing substrates. Both layer and substrate are Neo-Hookean elastic with ground state shear moduli μl and μs. We assume a Cartesian coordinate system {x1, x2, x3}, where x1 is the direction parallel to the layer-substrate interface, x2 is the thickness direction perpendicular to the interface, and x3 is the out-of-plane direction in which no variation occurs under plane strain conditions.
Initially, the layer grows under homogeneous conditions and introduces stretches λI in all I = 1, 2, 3 directions. We assume a multiplicative decomposition of these total stretches λI into elastic contributions and grown contributions ,
(1) |
where the Jacobian J denotes the total volume change. Here, we have used the lateral boundary condition λ1 ≐ 1 and the plain strain condition λ3 ≐ 1, such that the total volume change is entirely attributed to changes in layer thickness J ≐ λ2. Figure 1 suggests that we can picture the growth stretches as the stretches, which would occur if the growing layer was not attached to the elastic substrate. For example, we could consider two-dimensional in-plane growth in line with the plane strain condition,
(2) |
or three-dimensional isotropic growth,
(3) |
For now, we will consider general, arbitrary growth with the only constraint that to ensure that the onset of wrinkling does not occur in the out-of-plane direction. We assume that the elastic deformation is incompressible, Je ≐ 1, and derive the elastic stretches , which give rise to the stresses in the growing layer,
(4) |
This implies that the total volume change is entirely caused by growth, J ≐ Jg = λ2. We denote the thickness of the layer prior to growth by T. If the layer were detached from substrate, its thickness would be . According to Figure 1, in the attached state, the grown layer thickness is
(5) |
The analysis in the Appendix reveals that, for any combination of growth stretches, the critical growth condition for the onset wrinkling depends on only two characteristics: the elastic stretch ratio between thickness and wrinkle direction, , and the stiffness ratio between layer and substrate, μl/μs.
Figure 2 illustrates the critical elastic stretch ratios rw at the onset of wrinkling for varying stiffness ratios μl/μs. Associated with this critical growth condition is the wavelength of the critical sinusoidal mode. Figure 3 illustrates the critical condition (ntg)w, which defines the wavelength,λ/t = 2π/[rw(ntg)w], scaled by the current layer thickness t at the onset of wrinkling.
Included in Figures 2 and 3, as dashed curves, are the asymptotic results for layers satisfying μl/μs ≫ 1. The critical conditions for wrinkling of a growing, relatively stiff layer are
(6) |
The comparison between solid curves of the exact solution and the dashed curves of the asymptotic solution suggests that the asymptotic solution generates significant errors in the low stiffness ratio regime for μl/μs < 10.
In Figures 2 and 3, we have not analyzed stiffness ratios below μl/μs = 2 since wrinkling of the type analyzed here may not be the dominant mode in that regime. The wrinkles analyzed here have long wavelengths, which are significantly larger than the layer thickness. Included in Figure 2 are markers showing the condition for the onset of arbitrarily short-wavelength Biot surface wrinkles and arbitrarily small surface creases. The conditions for the onset of these modes can also be expressed as a critical conditions in terms of the elastic stretch ratio r. The Biot surface wrinkling condition is [4], and the surface creasing condition is [18, 19, 23].
Figure 2 confirms that the Biot condition is not met within the range of stiffness ratios considered here. However, the surface creasing condition is met prior to the condition for long-wavelength wrinkling for stiffness ratios μl/μs < 2.7. This implies that in this regime, small, finite strain creases are likely to form prior to wrinkling. Another possibility, however, is that long-wavelength folds may be unstable and imperfection-sensitive in this regime, and thereby likely to appear at lower growth strains than predicted by the bifurcation analysis.
For growing layers, the stability and imperfection-sensitivity of the long-wavelength mode has not been analyzed, but such an analysis has been carried out for the closely related Neo-Hookean bilayer problem where wrinkling is driven by the simultaneous compression of layer and substrate [21]. In that case, the long-wavelength mode becomes unstable and imperfection-sensitive in the range of μl/μs < 2.7. The above discussion suggests that modest stiffness contrasts in the range of μl/μs < 3, which are relevant for surface pattern formation due to differential growth in living systems [31], are likely to be complex and rich in phenomena.
Figure 4 illustrates two special cases of growth: two-dimensional in-plane growth with r = ϑ2 according to equations (2) and three-dimensional isotropic growth with r = ϑ3 according to equations (3). We can infer the corresponding wavelengths from Figure 3 using λ/t = 2π/[rw(ntg)w]. Cases with generate equibiaxial compression in the layer. Sinusoidal modes with the same critical wave-length exist at rw with wrinkle variations in any direction parallel to the interface. Any superposition of these modes is also a bifurcation mode.
The results in Figures 2 and 3 for a uniformly growing layer on a Neo-Hookean elastic substrate also apply for growing substrates as long as growth in the layer is greater. Specifically, with now denoting uniform growth stretches in the layer and denoting growth stretches in the substrate, let , and , such that . Figure 2 provides the critical value of r assuming . The critical wavelength is λ/t = 2π/[rw(ntg)w] where now and (ntg)w follows from Figure 3. The current study is limited to wrinkling phenomena on flat substrates; on curved substrates, the analysis is conceptually similar but includes higher order correction terms. We have recently shown that curvature delays the onset of wrinkling and that flat regions tend to fold earlier than curved regions [16].
3. Continuum Model
To explore pattern evolution beyond the onset of folding, we model growth using the nonlinear field theories of mechanics supplemented by the theory of finite growth. This results in a set of five equations, which are the three-dimensional, finite deformation generalizations of the kinematic equation, the constitutive equation, the mechanical equilibrium equation, and the growth kinematics, and the growth kinetics, which define the evolution of growth. To characterize the kinematics of finite deformation, we introduce the deformation map φ, which maps points X from the ungrown configuration to their new positions x = φ (X, t) in the grown configuration. As the three-dimensional generalization of equations (1), we introduce the deformation gradient F = ∇Xφ, which we multiplicatively decompose into an elastic part Fe and a growth part Fg,
(7) |
A similar multiplicative decomposition holds for the Jacobian J = det (F), which we decompose into an elastic part Je and a growth part Jg. In analogy to equation (3), to define the growth kinematics, we assume that growth is purely isotropic, parameterized in terms of a single scalar-valued growth multiplier ϑ,
(8) |
This implies that the grown volume Jg is identical to the growth multiplier to the power of the number of spatial dimensions ndim with ndim= 2 in the case of two-dimensional in-plane growth according to equations (2) and ndim= 3 in the case of three-dimensional isotropic growth according to equations (3). In analogy to equations (4), the elastic tensor Fe and its Jacobian Je simply follow by scaling the total deformation gradient F and its Jacobian J by the amount of growth ϑ,
(9) |
We introduce a Neo-Hookean free energy function parameterized exclusively in terms of the elastic tensor Fe and its Jacobian Je,
(10) |
where λ and μ are the Lamé constants. This implies that only the elastic part of the deformation generates stress. Following standard arguments of thermodynamics, the Piola stress P follows as energetically conjugate to the deformation gradient F,
(11) |
The Piola stress enters the standard balance of linear momentum, the equation of mechanical equilibrium. In the absence of inertia terms and volume forces, the balance of linear momentum reduces to the vanishing divergence of the Piola stress,
(12) |
In contrast to the analytical model, now we are not only interested in the critical condition at which growth occurs. Rather, we want to explore the evolution of surface patterns beyond the onset of folding for ϑ > ϑcrit. It thus remains to define the kinetics of growth, the equation that characterizes the evolution of growth in time. For simplicity, we assume that growth is purely morphogenetic, independent of mechanical stress or strain, characterized exclusively by the linear growth rate g,
(13) |
In the following examples, we consider a growing layer, gl > 0, on a Neo-Hookean elastic substrate, gs = 0. We solve the nonlinear set of equations within a finite element framework implemented in Matlab [29], and represent growth as a scalar-valued internal variable ϑ at the integration point level [7].
4. Computational Model
For the following examples, we consider a periodic, two-dimensional plane strain domain, which consists of a growing layer on a Neo-Hookean elastic substrate. The domain width W is constant; the domain height H and layer thickness T evolve as growth progresses. For the growing layer, we assume Lamé constants of λl = 34.2 kPa and μl = 3.3 kPa [8] and allow it to grow linearly in time. For the elastic substrate, we assume Lamé constants of λs = μs/μl λl and μs where μl/μs denotes the stiffness contrast between layer and substrate. Here we focus on the range of stiffness contrasts between 2 ≤ μl/μs ≤ 12 to mimic instability phenomena in living matter.
We adopt plain strain conditions and apply periodic boundary conditions on the left and right boundaries. We constrain the bottom nodes orthogonal to the boundary, but allow them to slide freely along the edge. To mimic an infinitely thick substrate, we select a specimen height that is significantly larger than the expected wavelength, H ≫ λ. We estimate the wavelength λ numerically in a preliminary simulation with a large domain width, W ≫ λ. For all following simulations, we explore two different domain widths, W = 2 λ and W = 3 λ. We discretize the growing layer with 4 and the Neo-Hookean elastic substrate with 48 bi-linear quadrilateral elements along the height H and with 64 to 128 elements along the width W depending on the estimated wavelength λ. To trigger instabilities in this homogeneous setup, we apply a small kinematic imperfection inside a vertical band in the center of the substrate and confirm numerically that both the wavelength λ and the amplitude A are insensitive to this imperfection. To accurately capture the onset of the bifurcation, we adopt an adaptive time stepping scheme, in which we adjust the time step size based on convergence of the global Newton Raphson iteration [24].
4.1. Emerging instability patterns of primary and secondary bifurcations
To explore the morphogenesis of primary and secondary bifurcations, we analyze the instability pattern of a progressively growing layer on a Neo-Hookean elastic substrate. We compare two different widths, W = 2 λ and W = 3 λ, of the periodic simulation domain to drive the solution into two distinct instability patterns: period-doubling and period-tripling.
Figure 5 illustrates the instability patterns of primary and secondary bifurcations, which emerge for domain widths of W = 2 λ and W = 3 λ at a stiffness contrast of μl/μs = 3. The color code reflects the normal compressive stress in the growing layer, with blue indicating low and red indicating high levels of compression. Once the compressive stress reaches a critical primary bifurcation point, the layer wrinkles into a periodic sinusoidal pattern to release the growth-induced residual stress, first row. Further growth triggers symmetry breaking into a non-symmetric wrinkling mode with sharper valleys and smoother ridges, second row. With continuing growth, the stresses in the growing layer reach a critical secondary bifurcation point and advanced wrinkling modes emerge, third row. These secondary instability patterns are sensitive to the domain width: A width of W = 2 λ favors period-doubling, left column; a width of W = 3 λ favors period-tripling, occurring slightly later, right column. Secondary instability patterns alternate between growing and decaying valleys with progressively increasing and decreasing amplitudes. As growth continues, contact zones emerge along the neighboring edges of a growing valley, while decaying valleys have almost entirely flattened out, fourth row. As the left and right close-ups of growing and decaying valleys indicate, amplitude growth increases the stress in the layer, while amplitude decay decreases the stress. In summary, this example suggests that instabilities emerge according to a distinct time line with a primary bifurcation point of periodic wrinkling followed by a secondary bifurcation point of period-doubling. With the choice of appropriate boundary conditions, we can suppress the mode of period-doubling and drive the solution into a later secondary bifurcation of period-tripling [34].
Figure 6 summarizes the final configurations at the formation of contact between two neighboring edges of a growing valley for period-doubling, period-tripling, period-quadrupling, period-quintrupling. Increasing the width of the simulation domain by multiples of the wavelength, W = 2λ, 3λ, 4λ, 5λ drives the numerical solution into different secondary bifurcation modes, from row 3 to row 6. While the modes of period-doubling in row 3 and period-tripling in row 4 display two distinct amplitudes, one increasing and one decreasing, the modes of period-quadrupling in row 5 and period-quintupling in row 6 display three distinct amplitudes, one increasing, one decreasing, and one in between.
4.2. Pitchfork bifurcations of period-doubling and period-tripling
The previous analysis suggests a characteristic time line for emerging instabilities of primary and secondary bifurcations. To investigate this time line more closely, we monitor the temporal evolution of the folding amplitude for two different stiffness contrasts, μl/μs = 5 and μl/μs = 8.
Figure 7 illustrates the emerging folding amplitudes for progressive growth. At the first instability point ϑw, the initially flat growing layer wrinkles into a sinusoidal pattern to partially release residual stresses and the amplitudes begin to grow uniformly. Once growth reaches the second instability point ϑpd, a second instability mode of period-doubling occurs. Every second amplitude accelerates to grow, while those in between decay. Choosing the domain width to W = 3 λ instead of W = 2 λ suppresses the period-doubling mode and triggers a different secondary instability pattern, period-tripling. The solution passes the point of period-doubling ϑpd without undergoing a bifurcation. Further growth triggers the advanced mode of period-tripling at a later secondary bifurcation point ϑpt. This indicates that period-doubling is energetically favorable over period-tripling. Yet, we can suppress the period-doubling mode numerically by choosing the domain size such that periodicity favors the mode of period-tripling. The direct comparison of the pitchfork bifurcations for two different stiffness contrasts, μ1/μs = 5 and μ1/μs = 8, suggests that the distance between primary and secondary bifurcations increases with increasing stiffness contrast.
4.3. Stiffness sensitivity of primary and secondary bifurcations
The previous example suggests that the evolution of primary and secondary bifurcations is highly sensitive to the stiffness contrast between layer and substrate. To explore this sensitivity further, we systematically vary the stiffness contrast between 3 ≤ μ1/μs ≤12. For each stiffness contrast, we numerically identify the critical growth multiplier at the onset of periodic wrinkling ϑw, at the onset of period-doubling ϑpd, and the onset of period-tripling ϑpt using an accompanying eigenvalue analysis: The smallest eigenvalue of the system decreases progressively until it reaches a first minimum close to zero, which we define as the primary instability point; then, the smallest eigenvalue increases, but soon decreases again towards a second minimum, which we define as second instability point.
Figure 8 illustrates the critical growth of periodic wrinkling ϑw, period-doubling ϑpd, and period-tripling ϑpt for varying stiffness contrasts μ1/μs. In analogy to the analytical estimates in Figure 4, the primary critical condition for periodic wrinkling ϑw decreases asymptotically as the stiffness contrast μ1/μs increases. The secondary critical condition for both period-doubling ϑpd and period-tripling ϑpt seems only marginally sensitive to the stiffness contrast. This implies that for increasing stiffness contrasts, the secondary bifurcation points ϑpd and ϑpt move further away from the primary bifurcation point ϑw. Critical growth for period-doubling ϑpd, with a mean of 1.56 ± 0.03, is consistently lower than critical growth for for period-tripling ϑpt, with a mean of 1.64 ± 0.03. This supports the findings from our previous example that period-doubling occurs earlier than period-tripling and seems to be the energetically favorable mode.
4.4. Stiffness sensitivity of folding amplitude during period-doubling
Our previous examples suggest that the growing and decaying amplitudes during secondary bifurcation are highly sensitive to the stiffness contrast between layer and substrate. To explore this sensitivity further, we systematically vary the stiffness contrast between 4 ≤ μ1/μs ≤ 12 in increments of Δμ1/μs = 2. For each stiffness contrast, we illustrate the emerging secondary instability mode and analyze the evolution of the amplitude ratio, the relation between growing and decaying amplitudes A1/A2, beyond the secondary bifurcation point Δϑ = ϑ − ϑpd.
Figure 9 illustrates the stiffness sensitivity of the folding amplitude for period-doubling. With increasing stiffness contrast of μ1/μs = 4, 6, 8, 10, 12, the amplitude ratio of growing and decaying amplitudes decreases, from top to bottom. For μ1/μs = 4, the decaying amplitude has almost entirely flattened out while for μ1/μs = 12, it is still markedly present. With increasing stiffness contrast, both the maximum amplitude and the wavelength increase.
Figure 10 shows the evolution of the amplitude ratio A1/A2 for progressive growth after the onset of period-doubling for the range of stiffness contrasts 4 ≤ μ1/μs ≤ 12. With increasing stiffness contrast, the slope of the curves decreases. This implies that the amplitudes grow and decay slower and the pitchfork narrows.
5. Concluding Remarks
Growing layers on elastic substrates can create a rich set of surface morphologies beyond the commonly studied primary instability: moderate growth creates symmetric, sinusoidal wrinkling patterns; further growth triggers symmetry breaking into non-symmetric patterns with sharp valleys and smooth ridges; and continuing growth initiates secondary bifurcations with alternating increasing and decreasing amplitudes. Here we have studied the emergence of surface morphologies upon progressive growth for low stiffness ratios between layer and substrate. Our simulations reveal that the critical amount of growth required for primary surface wrinkling increases exponentially as the stiffness ratio decreases, while the critical growth for secondary instabilities remains almost constant. This suggests that in the low stiffness ratio regime, the conditions for primary and secondary bifurcations move closer together and secondary folding becomes progressively more common. Most existing studies focus on large stiffness ratios and naturally overlook these secondary phenomena because they occur significantly later than classical periodic wrinkling. Yet, in living systems, in particular during organogenesis when new systems form, stiffness contrasts are low and these phenomena are critical. Our results suggest that for low stiffness ratios, emergent morphologies are highly sensitive to small imperfections: surface morphologies emerge rapidly, change spontaneously, and quickly become immensely complex. This is a common paradigm in developmental biology. Understanding emerging higher order bifurcations in layered structures could have significantly applications in the morphogenesis of living systems where growth is progressive and stiffness ratios are low.
Acknowledgments
This study was supported by the German National Science Foundation grant STE 544/50-1 to Silvia Budday, by the Stanford Bio-X Interdisciplinary Initiatives Program, by the National Science Foundation CAREER award CMMI 0952021, and by the National Institutes of Health Grant U01 HL119578 to Ellen Kuhl.
A. Appendix: Analytical Model
In what follows, we summarize the bifurcation analysis of a Neo-Hookean bilayer with uniform growth in the layer and no growth in the infinitely deep substrate. We construct the governing equations of the bifurcation problem from exact solutions for increments of displacements and stresses in a uniformly stretched layer [11]. Imagine the two layers are detached from one another. The Cartesian coordinates {x1, x2, x3} label material points in the unstressed layer at the current state of growth with x1 parallel to the interface in the direction of the wrinkle variation, x2 perpendicular to the interface, and x3 in the out-of-plane direction, for which we assume a plane strain state. The displacement increments associated with the bifurcation mode are u1 and u2, while u3 ≐ 0. The layer grows uniformly denoted by the growth stretches , and . There is no growth in the infinitely deep substrate. In the unattached state the layer is grown but stress free. Reattaching the grown layer to the ungrown substrate requires stress-generating elastic stretches in the layer,
(A.1) |
where follows from the elastic incompressibility condition, . The thickness of the growing layer in the fictitious, unattached state is and the current thickness in the grown, attached state is tg = λ2 T, where T is the initial thickness prior to growth. In the Neo-Hookean layer with ground state shear modulus μl, separated solutions to the field equations for the incremental problem exist with displacement increments,
(A.2) |
with coefficients
(A.3) |
Here, , denotes the ratio between the elastic stretches in thickness and wrinkle direction under the assumption that r ≠ 1. The current stretch state enters (A.3) only through this ratio r. The solution holds for any wave number n. We can express the associated nominal stress increments,
(A.4) |
with the following coefficients, defined as force per undeformed area,
(A.5) |
This Lagrangian formulation, which employs the components of the second Piola-Kirchhoff stress, is similar to the stability analysis of wrinkling of a homogeneous half-space [4, 11, 12]. To express the coefficients [c3, c4] in terms of [ c1, c2 ] we enforce the traction free condition, [N21, N22] = [0,0] on x2 = tg, in the layer with 0 ≤ x2 ≤ tg, in the unstressed state at the current state of growth,
(A.6) |
with
(A.7) |
We can then solve for the interface tractions [N21, N22] on x2 = 0+ in terms of the coefficients [c1, c2],
(A.8) |
with
(A.9) |
Next, solve for the interface displacements [U1, U2] on x2 = 0+ in terms of the coefficients [c1, c2] using equations (A.3) and (A.6) with (A.7),
(A.10) |
with
(A.11) |
By equations (A.8) to (A.11), the increments of nominal tractions and displacements on the bottom of the layer, x2 = 0+, which has a traction-free top surface, are related by
(A.12) |
Now we consider the semi-infinite substrate which is unstressed in the reference state with no growth. We denote all substrate quantities by an overbar and introduce its Cartesian coordinates as {x̄1, x̄2, x̄3}. In analogy to equations (A.2) and (A.4), substrate displacements and nominal tractions associated with the bifurcation solution have the form,
(A.13) |
and
(A.14) |
The solution for the unstressed infinitely deep substrate provides the following connection between its variables on its top surface,
(A.15) |
where μs denotes the ground state shear modulus of the substrate. Continuity of displacement increments and nominal tractions across the layer-substrate interface requires that
(A.16) |
and
(A.17) |
The factor in equation (A.17) accounts for the fact that the nominal stress increments in the two layers are defined relative to different interface areas. Displacement continuity (A.16) across the interface requires that
(A.18) |
such that and . Traction continuity (A.17) across the interface together with equations (A.12) and (A.15) requires that
(A.19) |
where I is the identity matrix. The eigenvalue problem, which governs the bifurcation is |M | ≐ 0. Significantly, M depends only on the stretch ratio , the stiffness ratio μ1/μs, and the thickness-scaled wave number ntg.
We interpret r as the eigenvalue associated with growth, and denote the critical eigenvalue, i.e., the smallest value associated with the onset of wrinkling, by rw. This critical value follows from minimizing r over all values of ntg. Consequently, rw, and with it the associated minimizing value of (ntg)w, depend only on the stiffness ratio between layer and substrate μ1/μs. This implies that the curves in Figures 2 and 3 apply to all uniform growth conditions in the layer governed by , and , as long as . To generate the solid curves in Figures 2 and 3, we solved the eigenvalue problem (A.19) numerically. The critical wavelength with respect to the current state is
(A.20) |
where λ/tg denotes the dimensionless wavelength normalized by the thickness of the fictitious unattached grown layer, , and λ/t denotes the dimensionless wavelength normalized by the current thickness of the grown layer at the onset of the bifurcation, .
References
- 1.Allen GH. Analysis and Design of Structural Sandwich Panels. Pergamon Press; Oxford: 1969. [Google Scholar]
- 2.Auguste A, Jin L, Suo Z, Hayward RC. Soft Matter. 2014;10:6520. doi: 10.1039/c4sm01038h. [DOI] [PubMed] [Google Scholar]
- 3.Biot MA. Proc Royal Soc London A. 1937;242:444. [Google Scholar]
- 4.Biot MA. Mechanics of incremental deformation. New York, US: Wiley; 1965. [Google Scholar]
- 5.Brau F, Vandeparre H, Sabbah A, Poulard C, Boudaoud A, Damman P. Nat Phys. 2011;7:56. [Google Scholar]
- 6.Brau F, Damman P, Diamant H, Witten TA. Soft Matter. 2013;9:8177. [Google Scholar]
- 7.Budday S, Steinmann P, Kuhl E. J Mech Phys Solids. 2014;72:75. doi: 10.1016/j.jmps.2014.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Budday S, Raybaud C, Kuhl E. Sci Rep. 2014;4 doi: 10.1038/srep05644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Buganza Tepole A, Ploch CJ, Wong J, Gosain AK, Kuhl E. J Mech Phys Solids. 2011;59:2177. doi: 10.1016/j.jmps.2011.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cai S, Breid D, Crosby AJ, Suo Z, Hutchinson JW. J Mech Phys Solids. 2011;59:1094. [Google Scholar]
- 11.Cao Y, Hutchinson JW. J Appl Mech. 2012;79:031019. [Google Scholar]
- 12.Cao Y, Hutchinson JW. Proc R Soc A. 2012;468:94. [Google Scholar]
- 13.Chen X, Hutchinson JW. J Appl Mech. 2004;71:597. [Google Scholar]
- 14.Ciarletta P, Balbi V, Kuhl E. Phys Rev Lett. 2014;113:248101. doi: 10.1103/PhysRevLett.113.248101. [DOI] [PubMed] [Google Scholar]
- 15.Dodwell TJ, Butler R, Hunt GW. Comp Sci Technol. 2014;105:151. [Google Scholar]
- 16.Eskandari M, Pfaller MR, Kuhl E. Materials. 2013;6:5639. doi: 10.3390/ma6125639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Goriely A, BenAmar M. Phys Rev Letters. 2005;94:198103. doi: 10.1103/PhysRevLett.94.198103. [DOI] [PubMed] [Google Scholar]
- 18.Hohlfeld EB, Mahadevan L. Phys Rev Letters. 2011;106:105702. doi: 10.1103/PhysRevLett.106.105702. [DOI] [PubMed] [Google Scholar]
- 19.Hong W, Zhao X, Suo Z. Appl Phys Letters. 2009;95:111901. [Google Scholar]
- 20.Hunt GW, Wadee MK. Proc Roy Soc A. 1991;434:485. [Google Scholar]
- 21.Hutchinson JW. Phil Trans R Soc A. 2013;371:20120422.j. doi: 10.1098/rsta.2012.0422. [DOI] [PubMed] [Google Scholar]
- 22.Javili A, Steinmann P, Kuhl E. J Mech Behavior Biomed Mat. 2014;29:20. doi: 10.1016/j.jmbbm.2013.08.017. [DOI] [PubMed] [Google Scholar]
- 23.Jin L, Cai S, Suo Z. EPL. 2011;95:64002. [Google Scholar]
- 24.Kuhl E, Schmid DW. Comp Mech. 2007;39:439. [Google Scholar]
- 25.Li B, Cao YP, Feng X-Q, Gao H. J Mech Phys Solids. 2011;59:758. [Google Scholar]
- 26.Li B, Cao YP, Feng XQ, Gao H. Soft Matter. 2012;8:5728. [Google Scholar]
- 27.Moulton DE, Goriely A. J Mech Phys Solids. 2011;59:525. doi: 10.1016/j.jmps.2010.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Moulton DE, Goriely A. J Appl Physiology. 2011;110:1003. doi: 10.1152/japplphysiol.00991.2010. [DOI] [PubMed] [Google Scholar]
- 29.Papastavrou A, Steinmann P, Kuhl E. J Mech Phys Solids. 2013;61:1446. doi: 10.1016/j.jmps.2013.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pocivavsek L, Dellsy R, Kern A, Johnson S, Lin B, Lee KYC, Cerda E. Science. 2008;320:912–916. doi: 10.1126/science.1154069. [DOI] [PubMed] [Google Scholar]
- 31.Richman DP, Stewart RM, Hutchinson JW, Caviness VS. Science. 1975;189:18. doi: 10.1126/science.1135626. [DOI] [PubMed] [Google Scholar]
- 32.Rodriguez EK, Hoger A, McCulloch AD. J Biomech. 1994;27:455. doi: 10.1016/0021-9290(94)90021-3. [DOI] [PubMed] [Google Scholar]
- 33.Schmalholz SM, Schmid DW. Phil Trans R Soc A. 2012;370:1798. doi: 10.1098/rsta.2011.0421. [DOI] [PubMed] [Google Scholar]
- 34.Sun JY, Xia S, Moon MW, Oh KH, Kim KS. Proc R Soc A. 2012;468:932. [Google Scholar]
- 35.Taber LA. Appl Mech Rev. 1995;48:487. [Google Scholar]
- 36.Zhao Y, Cao Y, Hong W, Wadee MK, Feng XQ. Proc Roy Soc A. 2014;471:20140695. doi: 10.1098/rspa.2014.0695. [DOI] [PMC free article] [PubMed] [Google Scholar]