Abstract
Multiwelled energy landscapes arising in shells with nonzero Gaussian curvature typically fade away as their thickness becomes larger because of the increased bending energy required for inversion. Motivated by this limitation, we propose a strategy to realize doubly curved shells that are bistable for any thickness. We then study the nonlinear dynamic response of onedimensional (1D) arrays of our universally bistable shells when coupled by compressible fluid cavities. We find that the system supports the propagation of bidirectional transition waves whose characteristics can be tuned by varying both geometric parameters as well as the amount of energy supplied to initiate the waves. However, since our bistable shells have equal energy minima, the distance traveled by such waves is limited by dissipation. To overcome this limitation, we identify a strategy to realize thick bistable shells with tunable energy landscape and show that their strategic placement within the 1D array can extend the propagation distance of the supported bidirectional transition waves.
Introduction
Curved elastic shells have drawn significant interest, not only because of their outstanding structural performance but also for their extraordinarily rich nonlinear behavior^{1,2,3,4,5,6,7,8,9,10}. In particular, curved elastic shells with low thickness to radius ratio typically possess two stable configurations^{1,6,11,12}—a feature that has been exploited to realize tunable lenses^{13}, as well as valves for autonomous control of soft actuators^{14}. However, the low thickness to radius ratio of such shells makes them extremely sensitive to imperfections and, therefore, limits their possible range of applications. On the other hand, curved elastic shells with large thickness to radius ratio are structurally more robust, but typically lack bistability.
Multistable structures comprising arrays of interconnected bistable elements have recently emerged as a powerful platform to manipulate and control the propagation of mechanical signals, owing to their ability to support the propagation of transition waves—nonlinear waves similar to those of falling dominoes that sequentially switch all elements^{15}. Such transition waves have been recently exploited to enable unidirectional propagation^{16,17,18}, achieve complex shape reconfigurations^{19} and realize structures that can be quickly deployed^{20}, as well as mechanical logic gates^{21}. However, almost all previous studies have focused on bistable elements that possess two energy minima of different height^{16,17,18,19,20,21} and, therefore, support unidirectional wave propagation. By contrast, the advantages and challenges associated with the propagation of transition waves in systems whose constituents possess equal energy minima have received very limited attention^{22}.
In this work, we first identify a strategy to realize bistable doubly curved shells with arbitrary thickness. We then focus on arrays of such bistable shells and use a combination of experiments and numerical simulations to study their nonlinear dynamic response. Owing to their doubly–curved nature, the shells can be connected using rigid tubes, to form airtight cavities between neighboring elements. Importantly, such fluidic cavities introduce a coupling between the shells and enable the propagation of transition waves, which sequentially switch the shells from one stable configuration to the other. Here, we systematically study the propagation of transition waves in arrays of bistable shells with equal energy minima. We show that the velocity of the propagating transition waves in such systems is not a fixed system property, but can rather be tuned by controlling the energy supplied to initiate the pulses. Further, we find that the propagation of the transition waves is limited by dissipation. To overcome this limitation, we introduce curved elastic shells with tunable energy profile and demonstrate that, when few of such elements are embedded into our arrays, the waves can propagate for longer distances while maintaining bidirectionality.
Results
Design of thick bistable shells
We begin by considering doubly curved thick shells (i.e., shells with nonzero Gaussian curvature) obtained by the 360^{o} revolution of the height profile (see black dashed line in Fig. 1a)
where H is the maximum shell height, R is the shell radius and S denotes the length of the flat portion added at the base of the shell to facilitate the enforcement of boundary conditions in experiments and simulations. The final shell geometry, shown in Fig. 1a, is obtained by offsetting the height profile h by a distance equal to the shell thickness T. To investigate the quasistatic response of such shells upon pressurization, we conduct Finite Element (FE) analyses using the commercial package ABAQUS 2019/Standard. In the analyses we create half shell models, mesh them using 8node fully integrated hybrid linear brick elements (Abaqus Element code C3D8H) and use an incompressible hyperelastic NeoHookean material with initial shear modulus, μ, to capture the material’s response (see Supplementary Note 1.4 and Supplementary Figs. 9–12). Further, we impose symmetry boundary conditions and subject the models to inflation and deflation by controlling the enclosed volume through the fluid filled cavity interaction (see Fig. 1a). In Fig. 1b we report the evolution of the elastic strain energy, U, as a function of the pole displacement, u_{pole}, for two shells characterized by H/R = 0.59, but with T/R = 0.0787 (red line) and T/R = 0.1653 (blue line). We find that the thinner shell features an elastic strain energy landscape with two energy minima at u_{pole} = 0 and u_{pole} ≈ 2H and, therefore, is bistable. Importantly, due to finite thickness effects, the stable configuration at u_{pole} ≈ 2H is characterized by an energy state higher than that of the undeformed one. As a result, the shell releases energy U_{r} when transitioning from its inverted state to its initial one (see Fig. 1b). By contrast, the strain energy landscape of the thicker shell monotonically increases with the pole displacement u_{pole}, indicating that the particular shell is monostable. A more systematic analysis on the effect of shell height H and thickness T to the response of the shells reveals that those with T/R < 0.159 have two stable states, whereas those with T/R > 0.159 are monostable (see Fig. 1c).
Next, since the results of Fig. 1c indicate that our thick doubly curved shells with T/R > 0.159 are monostable for any choice of H/R, we identify a strategy to realize shells that possess two stable states for any set of geometric parameters. To obtain such shells, we combine two identical doubly curved shells with thickness T, height H and the profile given by Eq. (1). We first compress the two identical shells until they elastically deform into a flat configuration (see Fig. 1d) and then glue them together (see Fig. 1e). To assess the bistability of the resulting shells (see Fig. 1f), we use FE simulations in which we account for the entire gluing process (see Supplementary Note 1.4 and Supplementary Fig. 10). In Fig. 1g we report the strain energy landscape predicted by our FE analyses for shells with height H/R = 0.59 and total thickness T_{total}/R ∈ [0.078, 0.236] (with T_{total} = 2T). Remarkably, we find that all considered shells are bistable and characterized by two strain energy minima with identical height due to the engineered stress symmetry between the inverted and initial stable states. Joining the two single shells in a deformed configuration coinciding with the horizontal symmetry plane, induces a residual stress field (symmetric about the horizontal plane) in the joint double shell, which ensures that the resulting double shell will be bistable. Finally, in Fig. 1h we report the evolution of the energy release U_{r} as a function of both H/R and T_{total}/R for T_{total}/R ∈ [0.078, 0.236] and H/R ∈ [0.39, 0.78]. Our results indicate that the energy release U_{r} is zero for all the considered geometry combinations, suggesting that our double shells are bistable for any choice of height and thickness and always possess equal energy minima.
To quantify the validity of our numerical simulations we fabricate a double shell with a total thickness of T_{total} = 4 mm, out of silicone rubber (Elite Double 8, Zhermack–with an initial shear modulus μ = 83 kPa^{23}) and two identical shells with radius H/R = 0.59, T/R = 0.079, and R = 25.4 mm (see Supplementary Note 1.2 and Supplementary Figs. 4–5). We then characterize its quasistatic response by attaching its boundaries to an enclosed rigid cylinder and supplying water with a syringe pump (Pump 33DS, Harvard Apparatus) at a constant rate of 30 mL/min to inflate it and deflate it (see Fig. 2a). The pressurevolume curve of our shell is obtained by monitoring the pressure during the tests with a pressure sensor (MPXV7025DP by NXP USA), whereas to monitor the displacement of the shell’s pole we recorded videos which we processed to extract the displacement history of its center point (see Supplementary Note 1.3 and Supplementary Figs. 6–8). The experimental results shown in Fig. 2b,c do not only confirm bistability (see region of negative pressure in Fig. 2b), but also indicate that the engineered stress symmetry of our shells leads to pressurevolume and pole displacementvolume curves which are entirely symmetric between loading and unloading. Further, the good agreement between the experimental and numerical data, verifies the predictive ability of our FE simulations.
Propagation of transition waves in arrays of universally bistable shells
Having identified a strategy to realize doubly curved shells that are bistable for any combination of geometric parameters, we now arrange our universally bistable elements in 1D arrays and study their nonlinear dynamic behavior. Specifically, we focus on double shells with H/R = 0.59, T_{total}/R = 0.158 and R = 25.4 mm, and connect them using acrylic tube segments with length L_{t} and internal radius equal to the radius of the shells (see Fig. 3a). When the array is assembled, each tube segment encloses a finite volume of air V_{air} = πR^{2}L_{t}. Importantly, such finite air volumes act as nonlinear nearest neighbor springs, since any deformation of the adjacent shells causes a volume change, which generates a resistant force to the shells. As such, our system comprises a 1D array of nonlinear bistable elements (i.e., bistable shells) with nearest neighbor interactions. To study its nonlinear dynamic response, we apply a pressure pulse (i.e., a constant pressure Δp for 100 ms) to the first/last shell of the array (while keeping the other end at atmospheric pressure) and monitor the propagation of the initiated pulse.
In Fig. 3b, we report results for an array comprising N = 10 double shells connected via 11 acrylic tubes with length L_{t} = 28 mm. We first arrange all shells with the pole pointing to the left (i.e., u_{pole,i} = 0 mm with i = 1, 10) and apply a pressure pulse with magnitude Δp = 69 kPa to the first unit on the left. We find that the applied pressure initiates a transition wave that sequentially switches all shells to their inverted state corresponding to u_{pole,i} = 2H. We then apply an identical pressure pulse to the last shell in the array and observe the propagation of another transition wave that sequentially resets all shells back to their initial configuration (Fig. 3c). To better characterize these elastic waves, in Fig. 3d we report the evolution of their velocity (calculated by monitoring the time at which u_{pole,i} = H) during propagation. We then find that the two pulses considered in Fig. 3b and c propagate with similar velocities through the array (see red and pink markers in Fig. 3d), indicating that our system supports bidirectional transition waves. While the resetting of bistable systems typically requires application of external forces^{16,19,20,21}, such bidirectionality provides a simple mechanism to bring the system back to its initial configuration. Importantly, Fig. 3d also reveals that the wave velocity is not constant during propagation, but rather “vshaped” because of the combined effect of dissipation (introduced by both the fluid cavities and the elastomeric shells) and the free boundary. Damping progressively reduces the energy carried by the waves, thereby reducing the transition wave velocity. On the other hand, when the head of the pulse reaches the end of the array, the energy required to switch the last few units decreases, thereby leading to an increase of the transition wave velocity. It is important to note that propagation of the pulses through the entire array is only possible when dissipation and the size of the array (i.e., N) are carefully balanced. For instance, if in our structure N is increased to 12, we find that the pulse stops after switching 6 shells, since it loses all its energy before being sufficiently close to the free end so as to benefit from boundary effects (see blue markers in Fig. 3d). Finally, the results of Fig. 3d highlight two promising strategies to tune the wave speed. First, the wave velocity can be controlled by varying the length of the connected tube segments, as this alters the effective stiffness of the nearestneighbor springs provided by the air cavities. By reducing L_{t} to 22 mm we find that the pulse maintains a higher velocity for longer distance and is less affected by dissipation (see yellow markers in Fig. 3d). Second, the wave velocity in our array can be tuned by controlling the energy supplied to initiate the pulses. In an array with N = 10 shells, we find that an increase of the magnitude of the applied input pressure from Δp = 69 kPa to Δp = 172 kPa results in a substantially faster pulse (see green markers in Fig. 3d). Note that this feature marks an important difference between our system and bistable structures with energy minima of different height, since for the latter the wave velocity is governed by the energy difference between their two stable states and, therefore, is a fixed system property given a certain geometry^{16,19,20,21}.
In order to obtain a better understanding for the dynamic response of our system and ensure that the behaviors observed in the tests are not introduced by experimental artifacts, we develop a numerical model. To this end, we focus on the [i]th shell, which is connected to the [i − 1]th and [i + 1]th shell through tubes with radius R and length L_{t} (see Fig. 4a), and write its equation of motion as (see Supplementary 2.3)
where m is the mass of the shell, β is a viscous damping parameter whereas u_{pole,i} and U(u_{pole,i}) denote the pole displacement and the strain energy potential of the [i]th shell, respectively. Finally, f_{i−1} and f_{i} represent the interaction forces acting on the [i]th shell due to the changes in volume in tubes [i − 1] and [i], respectively. Such interaction forces can be determined using Boyle’s law as,
where p_{atm} is the atmospheric pressure, and ΔV_{j} is the volume change associated with the pole displacement of the [j]th shell (see Supplementary 1.3). For an array comprising N double shells, Eqs. (2) results in a system of N coupled differential equations, which we numerically solve (using a Python implementation of the Dormand Prince 8(5,3) method^{24}) to determine the pole displacement of the [i]th shell as a function of time t.
To test the relevance of our discrete model, we first compare its predictions to the experimental results shown in Fig. 3. In all our numerical analyses we use m = 30 g and β = 2.5 kg/s (note that β is determined by fitting the result from our discrete model to the experimental results of Fig. 3b and its then kept fixed for all other numerical simulations) and determine ΔV_{i} and U associated with u_{pole,i} by linearly interpolating the FE results shown in Fig. 1g–h (see Supplementary Fig. 11). Further, to ensure identical boundary conditions, we apply the experimentally extracted displacement signal to the shell from which the pulse is initiated and leave the opposite end at atmospheric pressure. We find that our numerical analyses can successfully reproduce all the experimental results reported in Fig. 3, confirming the validity of our discrete model.
Next, in an attempt to derive analytical expressions for the wave velocity, we neglect dissipative phenomena and approximate the interaction forces acting on the [i]th shell as
where k is a linear approximation for the effective stiffness of the nonlinear nearest neighbor springs provided by the air cavities (see Supplementary Note 2.4 and Supplementary Fig. 23). By substituting Eq. (4) into Eq. (2) and setting β = 0, we obtain
Then, we introduce a continuous function \(u(\tilde{x},t)\) that interpolates the pole displacement of [i]th shell located at \(\tilde{x}={x}_{i}/{L}_{t}=i\) as \(u(\tilde{x}=i,t)={u}_{\text{pole},i}\). We also assume that the width of the propagating pulses is much larger than the shell to shell distance and express u_{pole,i±1} using Taylor expansion as
Substitution of Eq. (6) into Eq. (5) yields
where \(\zeta =\tilde{x}c\,t\) is the traveling wave coordinate, c is the wave velocity and \({c}_{0}^{2}=k/m\) (see Supplementary Note 2.4). Finally, to analytically solve Eq. (7) we assume that the bistable energy potential for the double shells can be approximated as
where C denotes the height of the two energy minima located at u = 0 and 2H and 0.25k_{s}H^{2} is the height of the energy barrier that has to be overcome to switch the shells from one stable state to the other. By introducing Eq. (8), Eq. (7) simplifies to
where \({c}_{s}^{2}={k}_{s}/m\). Eq. (9) has the form of a Klein–Gordon equation with quadratic and cubic nonlinearities (see Supplementary Note 2.4). Importantly, such equation admits solitary wave solutions of the form^{25}
where w is the width of the propagating pulses.
Next, we determine c and w as a function of the geometry of the system and the energy supplied to the first shell to initiate the pulse. To begin with, we substitute the solution Eq. (10) into Eq. (7) and find that the latter is identically satisfied only if
Then, we calculate the total energy carried by the transition wave defined by Eq. (10)
Since in the absence of dissipation E is equal to the energy supplied to the first unit to initiate the pulse, E_{in}, we find that
which we can numerically solve to obtain c for a given E_{in}. Further, to obtain an explicit expression for c as a function of E_{in}, we take a Taylor’s series expansion of Eq. (13) around c/c_{0} = 0 (since in our system c/c_{0} ~ 0.2), while retaining terms up to the third order. This yields
where
represents the minimum amount of input energy required to initiate the transition wave. Eq. (14) confirms that the speed of the propagating transition waves can be tuned by modifying the amount of energy supplied to the system.
To assess the validity of the analytical solution, in Fig. 4c–f we compare the evolution of the transition wave velocity c and width w as predicted by our continuum model (lines) and discrete model (triangular markers). In particular, in Fig. 4c and d we consider three arrays all with L_{t} = 28 mm, but made out of shells with (H, T_{total}) = (12.5, 3.0) mm (red), (15.0, 4.0) mm (purple) and (17.5, 5.0) mm (yellow) and report the evolution of c and w as a function of E_{in}. Differently, in Fig. 4d and f we investigate the evolution of c and w as a function of E_{in} for arrays realized using shells with (H, T_{total}) = (15, 4.0) mm when we vary L_{t}. Note that in each plot we report two analytical solutions: one in which c is obtained by solving Eq. (13) (solid lines) and one in which c is given by Eq. (14) (dashed lines). As for the numerical results, these are obtained by conducting simulations with N = 500 and β = 0, using Eq. (10) (with x = 10 and c varied to tune E_{in}) to prescribe the pole displacement of the first shell and initiate the pulse and numerically evaluating the integral in Eq. (12) to calculate E_{in} (which is equal to the total energy carried by the pulse). We observe good agreement between the predictions of the discrete model and corresponding results from the continuum model with c obtained by solving Eq. (13) for all considered levels of input energy. Differently, when using Eq. (14) to determine c in the continuum model, the analytical solution matches the experimental results only for low input energies, since the assumption c/c_{0} → 0 is violated for large enough values of E_{in}. Finally, in full agreement with our experimental observations, both our numerical and analytical results indicate that c increases with E_{in} for all considered double shell arrays, whereas the width w decreases.
While Eq. (14) enables us to calculate c as a function of the input energy and geometric parameters, it does not capture its experimentally observed reduction during propagation caused by dissipation (see Fig. 3d). To overcome this limitation, we assume linear viscous dissipation with damping coefficient β and compute the energy dissipated by each shell in the array upon its inversion as (see Supplementary Note 2.4),
By introducing Eq. (11), Eq. (16) can be rewritten as
which, by taking a Taylor’s series expansion around c/c_{0} = 0 and retaining terms up to the second order, can be further simplified to
Finally, introduction of Eq. (14) into Eq. (18) yields
where E_{i} denotes the energy carried by the transition wave when propagating through the ith unit.
Note that Eq. (19) can be used to adjust the velocity and account for the effect of damping in our continuum model. Specifically, focusing on the [i]th shell we calculate E_{i} by subtracting the energy dissipated in the inversion of the previous i − 1 shells from the energy supplied to initiate the pulse and subsequently calculate the adjusted velocity using Eq. (14). In Fig. 5a we focus on an array with N = 10 double shells identical to those considered in Fig. 3b, with c and report the evolution of c during propagation for different values of input energy, assuming β = 2.5 kg/s. Notably, we find that the prediction of the continuum model (dashed lines in Fig. 5) nicely agree with the numerical results (continuum lines) up to the fifth shell for moderate and large values of the input energy. Beyond the fifth shell, the free boundary starts to play an important role and this cannot be captured with our continuum model (since we assume the array to be infinitely long). Once again, we observe that by increasing the amount of energy supplied to the first unit, pulses with higher velocity are initiated. However, irrespectively of E_{in}, for the level of dissipation present in our structure all transition waves are found to stop after the inversion of the first few units in the absence of favorable end effects.
Next, we use our analytical model to predict the finite propagation distance in systems with a nonzero dissipation. Towards this end, we impose conservation of energy
To solve Eq. (20) and determine the number of units that the wave switches before stopping, N_{stop}, we take the continuum limit of Eq. (20),
where \(E(\tilde{x})\) is a continuum function that interpolates E_{i} as
By integrating both sides of Eq. (21) we obtain
Since E_{0} = E_{in} and \({E}_{{N}_{\text{stop}}}={E}_{\min }\), N_{stop} can be solved from Eq. (23) as (see Supplementary Note 2.4)
In Fig. 5b we consider an array comprising 500 double shells with R = 25.4 mm, H = 15 mm, T_{total} = 4 mm and report the evolution of N_{stop} as predicted by Eq. (24) and by our discrete model for different values of β. We find excellent agreement between analytical and numerical results, with N_{stop} that monotonically increases as either the damping coefficient and the energy input become larger.
Shells with tunable strain energy landscape
So far we have shown via a combination of experiments and analyses that a system comprising an array of universally bistable shells separated by air cavities supports the propagation of bidirectional transition waves with characteristics that can be tuned by varying both geometric parameters and the amount of energy supplied to initiate them. However, our results also indicate that the propagation of these pulses in real systems is heavily obstructed by unavoidable dissipation. Motivated by this limitation, we design shells with tunable strain energy landscape and demonstrate that their strategic placement within the array can successfully extend the propagation distance of the waves in dissipative systems. Even though several strategies have been proposed to bias the strain energy landscape of bistable structures^{21,26}, the approach presented here results in bistable shells with energy landscape that can be easily and actively tuned without the need for further assembly or fabrication. Our tunable shells comprise a double bistable shell (shown in green in Fig. 6a) encapsulated between two single shells (shown in purple in Fig. 6a, see Supplementary Note 1.5 and Supplementary Figs. 13–15). Note that this fabrication process results in the formation of two inflatable cavities (see Fig. 6b). Importantly, the control of their volume enables us to modify on the fly the strain energy landscape of the shell. To demonstrate the concept, in Fig. 6c we consider a tunable shell realized using two shells with H/R = 0.59, T/R = 0.0395, and R = 25.4 mm as caps and a double shell with H/R = 0.59, T_{total}/R = 0.158 and R = 25.4 mm made out of a stiffer silicone rubber (Elite Double 32, Zhermack—see Supplementary Note 1.5). To characterize the static behavior of this shell, we conduct inflation and deflation at different levels of preinflation for the two internal cavities. Specifically, in our first test both internal cavities are empty (ΔV_{p,1} = ΔV_{p,2} = 0), whereas in the second one we preinflate one cavity with 10 ml of water (ΔV_{p,1} = 0, ΔV_{p,2} = 10 ml) and in the third one we further add another 10 ml of water to the preinflated cavity (ΔV_{p,1} = 0, ΔV_{p,2} = 20 ml). We find that for ΔV_{p,1} = ΔV_{p,2} = 0 the pressurevolume curve of our tunable shell (see Fig. 6c) is qualitatively identical to the one of the double shell (see Fig. 2g). Differently, when one of the internal cavities is preinflated (i.e., ΔV_{p,2} ≠ 0) the maximum pressure required to invert the tunable shell during inflation drops, whereas the magnitude of the negative pressure required to bring it back to its original state increases. This indicates that the preinflation of an internal cavity increases the elastic strain energy stored in the initial state, but simultaneously decreases that associated to the inverted configuration. As a result, only a small input pressure is required to invert a tunable shell with a preinflated internal cavity and such inversion leads to the release of a large amount of energy. Finally, we note that, by preinflating the other internal cavity (i.e., ΔV_{p,1} ≠ 0, ΔV_{p,2} = 0) we can decrease the elastic energy stored in the initial state and increase that associated to the inverted configuration, thus realizing a shell that release a large amount of energy when snapping back to the initial state.
To test the capability of such tunable shells to extend the propagation distance of transition waves in dissipative systems, we consider an array with N = 12 double shells identical to the ones used in the experiments of Fig. 3. Since dissipation prevents the transition waves to switch all elements in the array when those are simple double shells (see blue markers in Fig. 3d), we place our tunable shell in between the 6th and 7th shell of the array, as shown in Fig. 7a–b. First, we charge the tunable shell by preinflating the cavity that faces the end to which the pressure pulse is applied with 20 ml of water (see Fig. 7a,b). Then, we initiate a pulse by applying an input pressure Δp = 69 kPa to either the first or last unit in the array. Remarkably, we find that the charged tunable shell enables the transition wave to propagate through the entire array of 12 double shells (see Fig. 7c,d), since the energy that it releases when snapping to its inverted state compensates for the energy lost by the pulse because of dissipation. Furthermore, we emphasize that the introduction of the tunable shell in the array does not inhibit the bidirectionality of the supported transition waves (see Fig. 7c,d). This is because by simply changing the polarity of the tunable shell (i.e., preinflating the opposite cavity), we can reverse the direction in which energy will be released. Finally, we note that the control of the tunable shell by adding or removing volume to one of its internal cavities is extremely simple, and does not require reassembly of the array.
Discussion
In summary, we have demonstrated a robust strategy for the design of doubly curved thick shells which are bistable for any combination of geometric parameters. Further, we have studied the propagation of transition waves in 1D arrays of such shells coupled by compressible fluid cavities and demonstrated that the supported pulses are bidirectional. Our combined experimental, numerical and analytical results reveal that the characteristics of the supported nonlinear waves can be tuned not only by altering the geometry of the system but also by controlling the amount of energy supplied to initiate them. However, since our universally bistable shells do not release energy when transitioning between their two stable states, the distance traveled by the supported transition waves is limited by unavoidable dissipative phenomena. To compensate for this without sacrificing bidirectionality, we designed thick bistable shells with tunable energy landscape. We then demonstrated that their strategic placement in 1D shell arrays can extend the propagation distance of transition waves, since they can be easily set to release the energy required to compensate for dissipation. As such, by combining universally bistable and tunable shells we realized 1D arrays that support the bidirectional propagation of transition waves over finite distances while being easy to reset and tune.
Even though in this study we used rigid chambers to connect adjacent shells, we envision the proposed strategy to provide a new route for soft robotic locomotion. By making the chambers unidirectionally stretchable, they would sequentially extend during the propagation of transition waves and emulate the rectilinear locomotion of snakes. In addition, our system’s unique property, namely the dependence of transition wave velocity to the input energy, could enable the design of smart energy absorption devices which effectively transfer energy but are able to avoid energy concentrations through dissipation. Further, systems based on our strategy could also serve as energy sensors, as the energy input can be determined by monitoring the effective transition wave velocity.
Finally, we believe that the proposed strategies to design bistable doubly curved shells have the potential to impact applications that extend beyond transition waves, including soft mechanical logic gates and reconfigurable structures.
Methods
Details on the geometry, design, fabrication, testing, and Finite Element modeling of the doubly curved shells, universally bistable shells and shells with tunable energy landscape are provided in Supplementary Note 1. The full details for the experimental setup, as well as for the testing and modeling of transition waves in 1D arrays of bistable doubly curved shells are provided in Supplementary Note 2.
Data availability
The experimental and numerical data in support of the findings in this study are available from the corresponding author upon request.
Code availability
All numerical codes used to computationally study the propagation of transition waves and all Abaqus Python scripts used to create the FE models are available from the corresponding author upon request.
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Acknowledgements
K.B. acknowledges support from NSF under grants DMR1420570 and DMR1922321 and Army Research Office under grant W911NF1710147. The authors acknowledge Dr. James Weaver for 3D printing the molds used to cast all shells.
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N.V., B.D, B.G., and K.B. designed research; N.V. and B.D. analyzed data; N.V., B.D., and B.G. performed experiments; B.G. designed 3D printed molds used to cast the shells. B.D. developed the continuum model; N.V. and K.B. wrote the paper.
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Vasios, N., Deng, B., Gorissen, B. et al. Universally bistable shells with nonzero Gaussian curvature for twoway transition waves. Nat Commun 12, 695 (2021). https://doi.org/10.1038/s41467020206989
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DOI: https://doi.org/10.1038/s41467020206989
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