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Review Article | Open Access
Jing Li, Qiuhua Duan, Enhe Zhang, Julian Wang, "Applications of Shape Memory Polymers in Kinetic Buildings", Advances in Materials Science and Engineering, vol. 2018, Article ID 7453698, 13 pages, 2018. https://doi.org/10.1155/2018/7453698
Applications of Shape Memory Polymers in Kinetic Buildings
Shape memory polymers (SMPs) have attracted significant attention from both industrial and academic researchers, due to their useful and fascinating functionality. One of the most common and studied external stimuli for SMPs is temperature; other stimuli include electric fields, light, magnetic fields, water, and irradiation. Solutions for SMPs have also been extensively studied in the past decade. In this research, we review, consolidate, and report the major efforts and findings documented in the SMP literature, according to different external stimuli. The corresponding mechanisms, constitutive models, and properties (i.e., mechanical, electrical, optical, shape, etc.) of the SMPs in response to different stimulus methods are then reviewed. Next, this research presents and categorizes up-to-date studies on the application of SMPs in dynamic building structures and components. Following this, we discuss the need for studying SMPs in terms of kinetic building applications, especially about building energy saving purposes, and review recent two-way SMPs and their potential for use in such applications. This review covers a number of current advances in SMPs, with a view towards applications in kinetic building engineering.
Shape memory polymers (SMPs) are an emerging class of intelligent polymers that can change their shapes in predefined ways, in response to appropriate stimulation . Vernon et al. fortuitously discovered “shape memory” in polymers in 1941 . In the 1960s, the utilization of covalently crosslinked polyethylenes (PEs) in heat-shrinkable tubing and film became another important milestone in the development of SMPs [3–6]. Significant efforts began in the 1980s to find additional applications, and this trend has continued in recent years (particularly in Japan and the US) [5, 6]. Compared with shape memory alloys (SMAs), SMPs possess the advantages of high elastic deformation, low cost, low density, and potential biocompatibility and biodegradability . They also have a wide range of tailorable application temperatures and tunable stiffnesses and are easily processed .
SMPs typically consist of crosslinked segments that determine the permanent shape and switching segments at transition temperatures that fix the temporary shape . Figure 1 shows the three-dimensional structure of an SMP. In Figure 1, a network-like architecture can be seen resulting from crosslinked net points (the black dots); the switch segment (the grey cube) connects them entropically to form a given macroscopic shape . The permanent shape of the SMP is determined either by physical or chemical crosslinks. Therefore, based on the nature of the crosslinks, conventional SMPs relying on thermal phase changes can be categorized into two types, those that are either chemically or physically crosslinked. According to the nature of the switching segments, SMPs can also be divided into those with either amorphous or crystalline switching segments [7–9].
Upon the reversibility of shape memory effect (SME), SMPs can also be classified into either one-way or two-way SMPs. “One-way” implies that the shape recovery is irreversible. That is, shape shifting during recovery can only proceed from a temporary to a permanent shape and not the reverse (Figure 2). “Two-way” means that the shape change is reversible; the initial and temporary shapes can be reversed with the appearance and termination of the stimulus. Thus, these two-way SMPs can achieve dual or even triple shape changes (Figures 2 and 3). Two-way SMPs have received considerable attention in recent years because of their ability to change shapes in response to the external stimuli to which they are exposed. Many researchers have proposed potential applications in areas such as artificial muscles, textiles, and actuators [10–12]. In Section 4, we will discuss two-way SMPs and their potentials in detail.
Based on the number of shapes involved in each shape memory cycle, SMPs can be classified as dual, triple, or multi-SMP . A typical SMP is dual (i.e., one temporary shape transformed into a permanent shape). In contrast, triple-SMPs feature two temporary shapes (A and B in Figure 3) in addition to their permanent one (C in Figure 3). First, the temporary shape B must be programmed, followed by the temporary shape A. The appropriate stimulus transforms the second temporary shape into the first (A→B). Subsequently, a second trigger initiates the regeneration of the permanent shape C. A multi-SMP (shown in Figure 3) is able to memorize more than two temporary shapes and subsequently recover in a highly controllable manner [14–16].
One of the most common external stimuli for SMPs is temperature. Many athermal stimulation methods (including electric fields, light, magnetic fields, water, irradiation, and solutions) for SMPs have been studied in the past decade. Based on such methods, SMPs can be classified into temperature-responsive, electric-responsive, magnetic-responsive, photo-responsive, or solution-responsive triple- or multi-SMPs. The corresponding mechanisms and properties (such as mechanical, electrical, optical, shape, constitutive model) of different stimulation methods will be discussed in Section 2.
SMPs are widely used in areas such as biomedical devices, aerospace engineering, textiles, energy, bionics engineering, electrical engineering, the development of household products, and civil and architectural engineering. Many extensive reviews have been conducted and published by various groups. These reviews have covered general aspects of SMPs [15, 16], multifunctional SMPs , SMP composites [18, 19], SMP foam [15–19], SMP fibers [20–23], and SMP characterization. However, from the perspective of possible applications, much of the discussion in these review studies has revolved around applications in the biomedical [17, 24, 25] and aerospace engineering [18, 26–28] fields. Given the trend in recent studies of investigating applications in civil and architectural engineering, it is worth reviewing the major efforts and developments there.
SMPs have been fabricated and used for critical civil infrastructure. Li et al. proposed that SMPs be employed as sealants such as SMP-based sealants , asphalt-based liquid sealants, two-way shape-changing polymer sealants, rutting resistance asphalt concrete materials, and self-healing materials for damaged structures [30–32]. Two types of SMP-based smart sealants have been successfully applied in compression-sealed joints in concrete pavement . Carbon fiber reinforced SMP composites have been analyzed with the potential for application as lightweight compactible structures . SMPs have also been investigated with regards to their use in repairing fatigue-sensitive steel elements  and as structural components (beams, rods, plates etc.) for vibration control and remote sensing actuators [33, 34]. Section 3 of this paper provides a brief overview of these applications in built environments.
Nevertheless, two-way SMPs are more intelligent; they can sense environmental changes and respond to them in an optimal manner . Applying two-way SMPs in built environments could offer real benefits, though there are still many difficulties with their proper engineering. Section 4 of this research concisely describes the mechanism of two-way SMPs, reviews certain popular areas of research, and lists particular challenges and opportunities related to their use in building and architecture applications.
2. Mechanisms of Different Stimulus-Responsive SMPs and Their Constitutive Models
2.1. Mechanisms of SMPs
2.1.1. Thermally Responsive SMPs
Most SMPs use heat as their stimulus . These thermally responsive SMPs can be regarded as thermoplastic elastomers, in which there is a hard phase with a high glass transition temperature () and a second, switching phase, with an intermediate or melting temperature () that enables the thermally responsive behavior . The temperature surpassing (or ) is symbolized as and the temperature being lower than (or ) is symbolized as . First, the SMPs can be processed into any shape desired as the permanent shape. Then, when the temperature is higher than (or ) and reaching , a temporary shape can be induced that can be then “frozen” by cooling the deformed state at the low temperature condition, . Consequently, when heated above (or ), the SMPs transform back to their permanent shape [13, 37]. The schematic drawing in Figure 4 shows this thermally responsive process.
Molecular switches and net points are two major molecular-level components of thermally responsive SMPs. Molecular switches are segments with a thermal transition at that fixes the temporary shape by forming physical crosslinks. Net points that link these switching segments and determine the permanent shape of the polymer network can either be physical crosslinks through physical intermolecular interactions or chemical crosslinks through covalent bonds .
2.1.2. Photoresponsive SMPs
Photoresponsive SMPs can respond to light stimuli by undergoing reversible changes in their properties . There are two main mechanisms that operate in light-induced SMPs: photochemical reactions leading to deformation and the employment of particles that convert light to heat [38, 39]. In photochemical reactions, intrinsically photoresponsive SMPs are produced by incorporating reversible photoreactive molecular switches when a special wavelength of light strikes them; this alters the structure of their crosslinked polymer networks. For example, Lendlein et al. showed that SMPs containing cinnamic groups can be deformed and fixed into predetermined shapes when exposed to alternating wavelengths ( or ) (Figure 5). The accumulation of structural alterations leads to an evolution of the polymer network and even subsequent macroscopic deformation. Consequently, photochemical SMEs are produced [38–41]. This stimulation is considered unrelated to any temperature changes. Therefore, it should be differentiated from the indirect actuation of thermally responsive SMPs . Another photosensitive function is that molecular switches convert light to heat and then actuate thermally responsive SMPs . Therefore, illumination with the radiant thermal energy of infrared light possessing a wide range of spectra (500∼4000 cm−1) can serve as a heat source for photoresponsive SMPs; these can then be applied with noncontact nonmediums [7, 39].
2.1.3. Electrically Responsive SMPs
Electrically responsive SMPs are also intrinsically of the thermally responsive type . Thermally active SMPs are usually filled with electrically conductive ingredients that reach a certain level of electrical conductivity; this means that electricity, as a stimulus, enables their resistive actuation [7, 19]. Most SMPs have high levels of electrical and thermal resistance when the actuation is remotely controlled. They are heated via an electric current that passes through the conductive ingredient network within . If the internal temperature is above the transition temperature, , resulting in the permanent shape, then the SMP can be deformed into any shape. If the temperature is between and , a temporary shape can be induced and fixed by cooling the SMP to below . Consequently, heating above the melting temperature, , may trigger deformation recovery (Figure 4) . Compared to the direct external heating method, the internal resistive joule heating method by electricity presents certain advantages, such as convenience, uniform heating, and remote controllability .
2.1.4. Magnetically Responsive SMPs
Similar to electrically responsive SMPs, thermally active SMPs embedded with magnetic particles are magnetically responsive. An alternating magnetic field (AMF) produces inductive heating, which triggers the recovery process. The temperature can be increased rapidly since the heat is normally generated inside the polymer itself [42, 43]. N el relaxation (eddy current losses), Brownian motion relaxation (rotational losses), and hysteresis losses are the three main heating mechanisms that operate AMFs. In the N el relaxation mechanism, in response to an externally applied AMF, a particle’s magnetic dipole changes its orientation within the particle. The particle’s magnetic moment of resisting this orientation produces heat, which is also counted in the particle’s magnetism [43, 44]. In Brownian motion relaxation, in response to an externally applied AMF, a particle physically rotates to align with the magnetic field; the friction between the rotating particles (responding to the externally applied AMF) and the carrier fluid (due to the viscosity effect of resisting the particle rotation) results in heat [42–44]. In addition to relaxation losses in larger particles with a particle size > 20 nm, thermal energy can be stemmed from magnetic hysteresis losses . Hysteresis describes a path that depends on the magnetic response of magnetic materials to an applied magnetic field. Hysteresis losses mainly occur in domain wall motion, such as when multidomain ferro- or ferrimagnetic particles are exposed to an AMF. The generated heat is proportional to the area of the hysteresis loop and frequency of the AMF . Basically, the heating power associated with relaxation loss lower than that of the hysteresis losses .
2.1.5. Solution-Responsive SMPs
Solution-responsive SMPs present a significant decrease in the modulus during phase transition . Water-driven actuation of SMPs was first discussed in 2005 by Huang . In general, water or solvent molecules are able to infiltrate SMPs. Due to the plasticizing effect of water and solvent on SMPs and the increase in flexibility of macromolecules, the glass transition temperature, , can be decreased after the addition of a small amount of water. When the glass transition temperature, , approaches the ambient temperature, the recovery process of the water-induced SMP is triggered . The interaction between macro- and micropolymeric molecule of the solution is the main mechanism behind this phenomenon. Three major reasons causing it are as follows: (1) the flexibility of the polymeric chains is magnified by the hydrogen bonding; (2) based on the continuum theories of rubber elasticity, the Mooney–Rivlin equation, and volume change refinement theory, the polymer modulus is destroyed due to the volume change in the polymer caused by the interaction; (3) the solution makes the polymer tender until decreases to the temperature of the solution while of the polymer is higher than the temperature of the solution or the ambient temperature. Consequently, the solution continues affecting the polymer’s other aspects. can decrease significantly and reach to the temperature of the solution because the micromolecular of the solution can weaken the elasticity modulus of the SMP. Therefore, the solution can trigger off the actuation of SMPs by means of reducing of the material itself through immersing the SMPs into solution .
2.1.6. pH-Responsive SMPs
The pH-responsive SMPs have great potentials in medical applications. The physiological pH values vary in different sites of the body, which generally appears as a sharp gradient across biological systems on both the cellular and systemic levels in pathological states . A pH-responsive SMP reported by Han et al. can be processed into a temporary shape at pH 11.5 and recover to its initial shape at pH 7 . A pH-responsive SMP based on polyurethane and the pH-stimulated DNA hydrogels have been also proposed . The mechanism of pH-responsive SMP is mainly based on the polymer swelling at different pH values of the environment. The pH value of the environment can act as a switch to control the shape memory without temperature variations. If the pH-responsive SMP prepared with some chemical materials, the key for realizing the SME is the hydrogen bond interaction. For example, the pH-responsive SMP prepared with functionalized cellulose nanocrystals (CNCs), the hydrogen bond interaction between the modified CNCs percolation network, and matrix materials decides the SME ; for the pH-responsive SMP synthesized by introducing pyridine rings into the backbone of polyurethane, the hydrogen bond interactions between the N atom of the pyridine ring and H–N of urethane in neutral or alkaline environments are the main contributory cause of the SME .
2.2. Properties of SMPs
2.2.1. Constitutive Model of SMPs
The constitutive model describes the relationship between stress and strain. The most important component is the viscoelastic constitutive model. Tobushi et al. developed a linear viscoelastic constitutive model of SMPs, and further established a one-dimensional nonlinear constitutive model [47, 48]. Liu et al. advanced a three-dimensional linear constitutive model in two phases: the active phase at high temperatures and frozen phase at low temperatures . Many researchers have developed different constitutive models of SMPs, based on Tobushi and Liu’s research. The overall small-strain constitutive equations are shown as follows :where is the storable inelastic strain; is the frozen fraction; is the temperature of the thermomechanical cycle starting; is Young’s modulus, ; is the modulus of the internal energetic deformation, usually ; is the modulus of the entropic deformation, usually ; is the crosslink density; is Boltzmann’s constant (); is the coefficient of thermal expansion, ; and is the thermal strain.
2.2.2. Shape Memory Effect
In order to explain the shape memory effect of SMPs, the shape fixity rate, , and shape recovery rate, , are normally used as characteristic factors. Shape fixing, or fixity, refers to the ability of an SMP to retain a temporary state, and thus store strain energy, by cooling below a transformation temperature. Shape fixing can be quantified by use of the measure:
The shape recovery rate can then be calculated as follows:where represents the strain of cycle after unloading, is the temporal strain of cycle that is achieved after deformation, and may depend on the shape memory cycle number, . Also, and are the extensions in the tension-free states while expanding the sample in two subsequent cycles, and . At the molecular level, fixing can be designed in an SMP by organizing the constituent chains to crystallize or vitrify at a targeted temperature or by otherwise immobilizing the chains.
3. A Brief Survey of Applications of SMPs in Civil and Architectural Engineering
This section presents a brief review of recent trends in the field of SMPs, with a particular focus on their applications in civil and architectural engineering. Compared with previous reviews of the field [5, 9, 18, 19, 51], this review summarizes information on civil and architectural engineering applications. In general, SMPs are mainly used as sealants and self-healing materials, vibration control systems, and actuators or sensors for structural health monitors. In addition, potential applications as smart materials for built environments are outlined in Figure 6.
3.1. Sealants and Self-Healing Materials
Li et al. presented an SMP-based smart sealant for compression-sealed joints in concrete pavement systems . They also developed an SMP-based syntactic foam that is cored with sandwich structures for the purpose of repeatedly self-healing the impact image . Additionally, they investigated the effects of various design parameters on the closing efficiencies of both pure SMPs and SMP-based syntactic foam . This SMP-based self-healing syntactic foam was successfully tested as a sealant for expansion joint bridges and concrete pavement systems [29, 31, 50, 52, 53]. It was noted that SMP-based foams possessing self-healing properties can also be used in the civil and architectural fields . Therefore, using SMPs as sealants (such as SMP-based, asphalt-based liquid, and two-way shape-changing polymer sealants) has become an important application direction in civil engineering. In addition to sealant applications, the self-healing abilities of SMPs have been also used to form SMP-based composite structures, another important application in civil engineering .
3.2. Vibration Control Applications
SMP-based structural components (beams, rods, plates, composites, etc.) allow for the tuning of a range of frequency bandwidths and damping properties for vibration control applications [54–56]. Brown et al. described the fabrication process and dynamic vibration testing of an electrically activated SMP . They demonstrated how SMP beams could achieve variable stiffnesses and damping with a reasonable thermal gradient triggered by electricity. The results showed an approximately 7% shift in the natural frequency and 100% change in the damping ratio of a rectangular SMP beam, which could enhance vibrational performance and expand the operational envelope of structures in the built environment. Another example related to applications of structural vibration control is the tunable hybrid SMP vibration absorbers proposed by Lee et al. . The mechanical and damping properties of SMPs show that SMPs can be used as damping materials, opening the door to vibration control applications in earthquake engineering .
3.3. Sensors and Actuators
SMPs have been proposed as a candidate for use in sensors and actuators [57–60]. In particular, SMPs with reversible temperature-sensing capabilities have the potential for structural health-sensing technology applications . DiOrio et al. developed such SMPs, which not only can serve in temperature-sensing applications but also provide a viable route for precisely controlling the shape recovery profile . The experiments conducted by Santo showed promising results for different sized actuator applications in structures where SMAs cannot be used for excesses in the actuation rate or low displacement rates . Yao et al. proposed a feasible method for fabricating SMP composites that could be used as flexible actuators . Catastrophic failure could be prevented by detecting deterioration and potential damage at the early stages, which has long been the main goal of structural health monitoring. SMP composites that could sense the stresses, loads, and other factors imposed upon them would enable the use of embedded sensor and actuator technologies in composite structures, providing structural health monitoring and control during service conditions.
3.4. Requirements and Expectations
From the above survey, it should be noted that the application of SMPs in civil and architectural engineering is still at the early stage, and most existing attempts are in the field of structural engineering. The application of SMPs in architecture requires a wide temperature range, desirable and controllable shape-recovery temperatures, and a large extension rate to fulfill the demands of different environments [35, 59, 61]. The high shape recovery temperatures, relatively low recovery stress, slow recovery rate, and one-way shape memory of most existing SMPs, however, present important and exciting challenges for the application of SMPs in built environments . Table 1 summarizes some SMPs with potential application in built environments. Due to a limited number of contributions to this field, only a few practical examples of potential applications have been given. Also, in Table 1, only a small number of applications have been studied at the experimental stage with in-depth testing and measurements [12, 62]. Conversely, others have so far only briefly been described or proposed in the discussion or conclusion sections of the literature, without actual experiments and measurements [12, 64–71, 75–81].
Possible applications using two-way SMPs have been proposed frequently in recent years. Compared to one-way SMPs, two-way SMPs offer the advantage of being reversible within a particular temperature range. Generally speaking, two-way SMPs have received considerable attention because of their ability to change shapes according to the external stimuli to which they are exposed, and the possibility that they could increase the extension rate via different additions, both of which offer possibilities in built environment applications. We discuss this potential in the following section.
4. Potential of SMPs for Building Energy Saving Purposes
4.1. Kinetic Building Envelopes for Building Energy Efficiency
Highly conditioned buildings via mechanical devices may make such buildings insensitive to the environment and uncouple the building envelope from its role as an environmental moderator. However, this ignores the nature of sustainable buildings and their ability to acclimate (or climatically respond) to the environment, taking full advantage of the positive influences found in nature. In the field of building “acclimation,” we found many studies from around the world that addressed building envelopes and their impacts on building energy usage and indoor environment issues. Building envelopes are one of the most important design parameters determining the indoor physical environment, thermal and visual comfort, and even occupant work efficiency; thus, the effect on energy usage is substantial. In particular, the thermophysical and optical properties of building envelopes are factors that should be defined by the materials and geometry of building envelope components. Interest is increasing in net-zero energy buildings, but even current high-performance envelopes can rarely achieve that goal. Most available envelope designs function either as heating or cooling in the dominant climate, but not both. In short, such envelope designs provide less-than-optimal building performance during certain times of year. One way to improve building energy efficiency is to develop kinetic building envelope systems that can alter their thermal and optical properties according to seasonal/daily climatic variations . As more research works related to kinetic buildings have emerged, kinetic building envelope systems have become increasingly likely as a means of defining the optimal climatic responses and heightening indoor comfort. For instance, the developed envelopes with kinetic thermal insulation properties may achieve ∼42.6–47.2% cooling and heating energy use savings, relative to the conventional envelopes with static insulation properties in compliance with ASHRAE 90.1-2013 Energy Standard .
Importantly, incorporating the shape memory effect into a building envelope component may substantially change its optical and thermal behavior from the point of view of building energy savings. According to the building energy savings mechanism, the behaviors of envelope assemblies including windows, window attachments (i.e., blinds, overhangs, coatings, etc.), wall surfaces, wall insulations, and roof structures are considered an important strategy for responding to external stimuli such as different sun positions, solar radiation levels, wind speeds, temperatures, humidity levels, etc. In order to ensure the significance of such behaviors in a specific envelope component, the stimulus (e.g., temperature, magnetic field, etc.) and application of the SMP must both be considered.
For instance, when it comes to movable window blinds that respond to a variety of solar angles in different seasons (i.e., winter and summer) to potentially utilize or mitigate solar heat gain, a type of thermally responsive SMP can potentially be used in the hinges of the blind structures. The different external air temperatures in winter and summer would then actuate the shape change in the SMP and adjust the angles of the blind slats, as seen in the schematic in Figure 7. Similarly, different SMP layers in a single unit with different values could form various shapes in response to external air temperature changes, which in turn might act as a daylighting control system for potential lighting energy savings, as seen in the schematic in Figure 8. Ideally, these envelope components’ changes would be reversible as external stimuli (i.e., temperature, humidity, wind, etc.) are normally periodical. To that end, two-way SMPs show great promise for applications in the fields of dynamic building facades and energy savings. Next, we discuss the mechanisms, properties, and associated possibilities/challenges with two-way SMPs.
4.2. Mechanisms and Properties of Two-Way SMPs
4.2.1. Mechanisms of Two-Way SMPs
Not only nematic liquid crystalline elastomers but also single crosslinked (physical or chemical) semicrystalline polymers and their composites can present as two-way SMPs under constant external loads . The mechanism for the nematic liquid crystalline elastomers is that the ordering of mesogenic moieties and elastic properties of liquid crystalline elastomers enable a two-way SME in the liquid crystal elastomer. Heating a nematic liquid crystalline elastomer through the nematic-isotropic transition results in the constituent prolate network chain characteristic of the nematic state, contracting it to the spherical configuration of the isotropic phase. A large macroscopic contraction of more than 100% occurs simultaneously. This contraction is reversed upon cooling back to the nematic phase .
However, it is necessary for a polydomain nematic liquid crystalline elastomer leading to a two-way SME to apply a finite (∼50 kPa) stress . Thermal-responsive semicrystalline polymers must be subjected to a constant stress to yield a two-way SME. Similarly, the mechanism behind this for thermally responsive SMPs is the transition between the amorphous and crystalline phases. While cooling elongates the crystallization of a semicrystalline polymer under a tensile load, the crosslinked entropy elastic modulus of the amorphous phase decreases, as does the capability of the bearing force of the semicrystalline (amorphous + crystalline phase) polymer, which results in elongation. The shape recovery will be achieved by heating to melt the network subsequently [18, 74, 82].
Nonetheless, the external load greatly limits wider application of two-way SMPs. Some polymer laminates, two-way SMPs, and their composites can achieve driving force due to an internal force or the anisotropic network. Therefore, they do not need an external force while in operation . A two-way SMP can produce a two-way SME without an external load when it combines chemical and physical crosslinked networks during the synthesizing process, and this is called a dual network. The chemical crosslinks secure the memory of the original shape while heating, and the physical crosslinks restore the temporary shape during cooling . Polymer laminates completely combine ordinary polymers, elastomers, or SMP composites into a thin film, layer by layer. Different properties of composite materials such as the elastic modulus may cause different recovery stresses, resulting in a driving force bending the shape of recovery . Similarly, two-way shape memory polymer composites (SMPCs) synthesize SMPs together so that they form a long molecular chain polymer. The mechanism is the ordering of the crystalline segment and elastomeric network, which enables the two-way SME of SMPCs. The preprogramed crystalline segment melts into the amorphous phase through a glass-rubbery transition. The movement of the crystalline segment is balanced with the crosslinked network to present a simultaneous shrinkage. During the crystallization, the balance is broken by the stored energy in the elastomeric network, providing the driving force for shape recovery .
4.2.2. Properties of Two-Way SMPs
Many properties (including thermal, mechanical, and shape memory) of two-way SMPs have been studied [70, 83–85]. Properties are important factors impacting the performance of two-way SMPs in different fields. This review focused on thermally responsive SMPs in built environment applications. Therefore, the temperature range was our first concern, because that built environment temperature decides the feasibility of a two-way SMP. The extension rate was another important consideration, due to the maximizing flexibility of applications for two-way SMPs.
Temperature range is an important thermal property of two-way SMPs. Different materials involved with SMPs present different temperature ranges. Figure 10 lists thermally responsive two-way SMPs, temperature ranges for their reversible shapes, and their transition temperatures. The SMPs listed in Figure 10 include six-arm polyethylene glycol-polycaprolactone (6A PEG-PCL), polyethylene-co-vinyl acetate (cEVA), semicrystalline poly ε-caprolactone (cPCL), crosslinked polyethylene (cPE), 1,6-hexamethylene diisocyanate (HMDI) + PCL + 1,4-butanediol (BD) (HPL), oligo ε-caprolactone (OCL), polycaprolactone (PCL)-gelatin, PCL-poly tetra-methylene ether glycol (PCL-PTMEG), poly cyclooctene-dicumyl peroxide (PCO-DCP), polydopamine-poly ε-caprolactone (PDA-PCL), poly ester urethane (PEU), poly octylene adipate (POA), poly pentadecalactone-poly ε-caprolactone (PPD-PCL), and preelongated shape memory polyurethane with unelongated elastic polyurethane (SMPU-PU). All SMPs shown in Figure 10 had a temperature range minimum to maximum from −20 to 100°C. Among the thermal properties of each material, transition points or were the critical features influencing this temperature range. Figure 10 clearly indicates that the temperature range of the poly ester urethane (PEU) was widest among all of the considered materials. PEUs can detect a two-way SME between +60 and −20°C while under a tensile load . Meanwhile, a trained PEU specimen can display a two-way SME cycle between +60 and −10°C under zero external load . Therefore, the temperature range of a PEU covers the built environment temperature. Zhou et al. presented a semicrystalline elastomers—poly octylene adipate (POA) with a temperature between 5 and 38°C, which was close to the built environment temperature . The temperature range of a POA is narrower than that of a PEU, so that a POA may not be usable in some complicated environments. Thus, PEUs are regarded as the best candidate polymer type for the application of two-way SMPs in built environments, because they have a wide temperature range and are stress-free.
In addition to the temperature features, the extension rates of two-way SMPs and SMPCs are another important feature that indicates the shape-changing possibilities. Bothe found the extension rate of a PEU to be σ = 1.5 MPa (external load) up to 37% . The researcher also explained that the maximum extension rate of a trained PEU with zero external load could reach 36% . Ma et al. found that pure crosslinked polyethylene (cPE) has a 21.3% extension rate . SMPCs and polymer laminates usually have smaller extension rates. For example, poly -caprolactone- (PCL-) based materials can achieve elongation (extension) up to 25% . Stoganov et al. described a PCL-gelatin polymer laminate with a ∼10% extension rate . It was determined that the extension rates of two-way SMPs and SMPCs can range from ∼10% to 37% [65, 75, 80, 86]. PEUs under external loads have the largest extension rates of all, which makes it possible that PEUs as two-way SMPs could be flexibly applied in built environments.
4.3. Challenges to Using Two-Way SMPs in Dynamic Building Envelopes
Two-way SMPs have excellent properties such as lightweight and reversible shape changing abilities, but there are also challenges to their application in built environments, among which the following three aspects are worth mentioning for future research [66, 77].
4.3.1. Tradeoff between Extension Rate and Transparency
A 100% extension rate with a high level of transparency is desirable so that two-way SMPs can be applied to dynamic building envelopes. However, it is extremely difficult to achieve this goal. Bothe found that an external load affected the elongation of a PEU; the largest was 37% under a certain tensile load, but the researcher did not develop a numerical model to simulate the relationship between the external load and extension rate . Ma et al. concluded that the addition of carbon black (CB) would greatly decrease elongation. Adding 20% vol. CB to pure cPE, the extension rate decreased from 21.3% to 15.7% . Kolesov et al. studied crosslinked polyethylene (PE)/PCL, and concluded that an increased crosslink density and crystallinity in the polymer network could enhance a two-way SME, as well as the selection of optimal loads . Nevertheless, several studies have examined the relationship between the extension rate and transparency of two-way SMPs, and the impact factors (such as external load, additions, crosslink density, and crystallinity) most affecting them. Better transparency provides improved natural lighting. However, additions to two-way SMPs to increase the extension rate may cause a lower level of transparency. Balancing addition and transparency means a tradeoff. Thus, understanding the relationship between external load and extension rate in two-way SMPs, as well as the key impact factors, are challenges to the broader application of two-way SMPs in built environments.
4.3.2. Methods and Designs for Ideal Temperature Ranges
It is appropriate in the application of two-way SMPs and SMPCs in built environments for the accurate temperature to range from −15 to 40°C. Two-way SMPs will not respond below the lower temperature range, , and they become irreversible at a temperature point just a little bit higher than the upper temperature range, . Some researchers have studied different methods of changing the temperature ranges of two-way SMPs. Tunable actuation temperatures with two-way SMPs via a photo-crosslinking (UV) method have served to increase the by about 25°C because of the addition of photo-crosslinks [88, 89]. Adding CB to two-way SMPs is also an available approach to affect the operation temperature . Another approach is using polymer laminates such as shape memory polyurethane (SMPU)/PU and PCL-gelatin to change the temperature range [66, 75]. However, none of this research has provided a numerical model to illustrate the impact factors (such as UV, CB, and the composite layer) on the temperature range of reversible cycles. Even though it was determined that the temperature range of a PEU covers the built environment temperature, it is still a challenge to find a PEU with a precise temperature range from −15 to 40°C.
4.3.3. Fabrication Methods for Microstructure Design
A two-way SMP with a reasonable microstructure, such as composing different SMPs into one device, could possibly change their original properties, thus applying in dynamic building envelopes. However, fabricating appropriate two-way SMPs can be difficult. A novel polymer fabrication process using 3D printing has recently emerged [77, 87, 90–92]. 3D printing is capable of producing advantageous complex structures. With the help of SMPs, 3D printed materials are able to respond to and change shape with a stimulus and this is called 4D printing (self-enveloping/self-folding) [77, 87, 90, 91]. This 4D printing technique was first presented in a water solution but was nonreversible . Ge et al. introduced their design for 4D printing laminates producing a one-way SME in air . Naficy et al. investigated polyether-based polyurethane with hydrogel structure using 3D printing, resulting in a two-way SME in water . Therefore, this novel 3D/4D technique makes possible the fabrication of desirable two-way SMPs with multiple layers or specific microstructures. Nonetheless, it is still a challenge to determine the fabrication process for two-way SMPs in built environments because 3D printed two-way SMPs have thus far only been used in water environments.
Smart materials have been applied in building structures and envelopes for various purposes that require specific combinations of optical, thermal, and mechanical properties. In the current work, the general principles of SMPs were described, and previous research with selected application examples in built environments were categorized and reviewed. Special emphasis was given to the potential use of two-way SMPs as adjustable structures for building energy efficiency. Two-way SMPs used in buildings must meet weather and/or room temperature ranges. In addition, properties such as extension rate, transparency, design characteristics, and compatibility with envelope assemblies also need to be considered. From both experiments and simulations, it is clear that incorporating SMPs into building structures offers the potential to improve building envelope structures and environmental performance. However further investigations are needed into the development of particular two-way SMPs by material scientists and engineers working collaboratively with architectural and structural researchers. Once that work is completed, building designers and engineers can focus on methods for incorporating SMPs, embedding them into existing building structures and envelope assemblies, long-term stability, and any other problems affecting the safety, reliability, and practicability of the thermal energy storage used in buildings.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
Jing Li, Qiuhua Duan, and Enhe Zhang have equally contributed to this paper.
This project was funded by the National Natural Science Foundation of China (51708002).
- M. Behl and A. Lendlein, “Shape-memory polymers,” Materials Today, vol. 10, no. 4, pp. 20–28, 2007.
- L. B. Vernon and H. M. Vernon, “Process of manufacturing articles of thermoplastic synthetic resins,” Google Patents, vol. 18, no. 7, p. 348, 1941.
- J. J. Hitov, W. C. Rainer, E. M. Redding, A. W. Sloan, and W. D. Stewart, “Polyethylene product and process,” Google Patents, 1964.
- R. J. Perrone, “Silicone-rubber, polyethylene composition; heat shrinkable articles made therefrom and process therefor,” Google Patents, 1967.
- C. Liu, H. Qin, and P. T. Mather, “Review of progress in shape-memory polymers,” Journal of Materials Chemistry, vol. 17, no. 16, p. 1543, 2007.
- M. D. Hager, S. Bode, C. Weber, and U. S. Schubert, “Shape memory polymer: Past, present and future.pdf,” Progress in Polymer Science, vol. 49-50, pp. 3–33, 2015.
- J. Leng, X. Lan, Y. Liu, and S. Du, “Shape-memory polymers and their composites: Stimulus methods and applications,” Progress in Materials Science, vol. 56, no. 7, pp. 1077–1135, 2011.
- H.-Y. Jiang and A. M. Schmidt, “The structural variety of shape-memory polymers,” in Shape-Memory Polymers and Multifunctional Composites, J. S. Leng and S. Y. Du, Eds., pp. 21–63, CRC Press, Baco Raton, FL, USA, May 2010.
- D. Ratna and J. Karger-Kocsis, “Recent advances in shape memory polymers and composites: a review,” Journal of Materials Science, vol. 43, no. 1, pp. 254–269, 2008.
- D. L. Thomsen, P. Keller, J. Naciri et al., “Liquid crystal elastomers with mechanical properties of a muscle,” Macromolecules, vol. 34, no. 17, pp. 5868–5875, 2001.
- J. Hu and S. Chen, “A review of actively moving polymers in textile applications,” Journal of Materials Chemistry, vol. 20, no. 17, p. 3346, 2010.
- M. Behl, K. Kratz, U. Noechel, T. Sauter, and A. Lendlein, “Temperature-memory polymer actuators,” Proceedings of the National Academy of Sciences, vol. 110, no. 31, pp. 12555–12559, 2013.
- T. Xie, “Recent advances in polymer shape memory,” Polymer, vol. 52, no. 22, pp. 4985–5000, 2011.
- M. Behl and A. Lendlein, “Triple-shape polymers,” Journal of Materials Chemistry, vol. 20, pp. 3335–3345, 2010.
- Q. Zhao, H. J. Qi, and T. Xie, “Recent progress in shape memory polymer: New behavior, enabling materials, and mechanistic understanding,” Progress in Polymer Science, vol. 49-50, pp. 79–120, 2015.
- J. Hu, Y. Zhu, H. Huang, and J. Lu, “Recent advances in shape-memory polymers: Structure, mechanism, functionality, modeling and applications,” Progress in Polymer Science, vol. 37, no. 12, pp. 1720–1763, 2012.
- M. Behl, M. Y. Razzaq, and A. Lendlein, “Multifunctional shape-memory polymers,” Advanced Materials, vol. 22, no. 31, pp. 3388–3410, 2010.
- H. Meng and G. Li, “A review of stimuli-responsive shape memory polymer composites,” Polymer, vol. 54, no. 9, pp. 2199–2221, 2013.
- Q. Meng and J. Hu, “A review of shape memory polymer composites and blends,” Composites Part A: Applied Science and Manufacturing, vol. 40, no. 11, pp. 1661–1672, 2009.
- M. Zheng and B. Dawood, “Fatigue strengthening of metallic structures with a thermally-activated shape memory alloy (SMA) fiber-reinforced polymer (FRP) patch,” Journal of Composites for Construction, no. 4, pp. 1–11, 2016, In press.
- J. Hu, J. Lu, and Y. Zhu, “New developments in elastic fibers,” Polymer Reviews, vol. 48, no. 2, pp. 275–301, 2008.
- K. Gall, M. Mikulas, N. A. Munshi, F. Beavers, and M. Tupper, “Carbon fiber reinforced shape memory polymer composites,” Journal of Intelligent Material Systems and Structures, vol. 11, no. 11, pp. 877–886, 2000.
- R. Kotek, “Recent advances in polymer fibers,” Polymer Reviews, vol. 48, no. 2, pp. 221–229, 2008.
- Y. Mao, K. Yu, M. S. Isakov, J. Wu, M. L. Dunn, and H. Jerry Qi, “Sequential self-folding structures by 3D printed digital shape memory polymers,” Scientific Reports, vol. 5, no. 1, p. 13616, 2015.
- J. Leng, D. Zhang, Y. Liu, K. Yu, and X. Lan, “Study on the activation of styrene-based shape memory polymer by medium-infrared laser light,” Applied Physics Letters, vol. 96, no. 11, pp. 2008–2011, 2010.
- J. Leng, H. Lu, Y. Liu, W. M. Huang, and S. Du, ““Shape-memory polymers—a class of novel smart materials,” MRS Bulletin, vol. 34, no. 11, pp. 848–855, 2009.
- S. A. Madbouly and A. Lendlein, “Shape-memory polymer composites,” Advance Polymer Science, vol. 226, pp. 41–95, 2010.
- G. L. Jiang and K. Peters, “Intelligent FRP retrofits for critical civil infrastructures,” in Proceedings of SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring 2007, vol. 6530, San Diego, CA, USA, March 2007.
- G. Li and T. Xu, “A shape memory polymer based self-healing syntactic foam sealant for expansion joint,” Structures Congress, vol. 137, no. 11, pp. 805–814, 2011.
- G. Li and M. John, “A self-healing smart syntactic foam under multiple impacts,” Composites Science and Technology, vol. 68, no. 15-16, pp. 3337–3343, 2008.
- G. Li, A. King, T. Xu, and X. Huang, “Behavior of thermoset shape memory polymer based syntactic foam sealant trained by hybrid two‐stage programming,” Journal of Materials in Civil Engineering, vol. 25, p. 479, 2012.
- G. Li, M. Asce, G. Ji, and H. Meng, “Shape memory polymer-based sealant for a compression sealed joint,” Journal of Materials in Civil Engineering, vol. 27, no. 6, Article ID 04014196, 2013.
- C.-Y. Lee, C.-C. Chen, T.-H. Yang, and C.-J. Lin, “Structural vibration control using a tunable hybrid shape memory material vibration absorber,” Journal of Intelligent Material Systems and Structures, vol. 23, no. 15, pp. 1725–1734, 2012.
- K.-T. Lau, “Structural health monitoring for smart composites using embedded FBG sensor technology,” Materials Science and Technology, vol. 30, no. 13, pp. 1642–1654, 2014.
- B. Konarzewska, “Smart materials in architecture: useful tools with practical applications or fascinating inventions for experimental design?” IOP Conference Series: Materials Science and Engineering, vol. 245, no. 5, Article ID 052098, 2017.
- A. Lendlein and S. Kelch, “Shape-memory effect from permanent shape,” Angewandte Chemie International Edition, vol. 41, no. 12, pp. 2034–2057, 2002.
- M. R. Aguilar and J. San Román, “Introduction to smart polymers and their applications,” in Smart Polymers and their Applications, pp. 1–11, Elsevier, New York, NY, USA, 2014.
- K. N. Long, T. F. Scott, H. Jerry Qi, C. N. Bowman, and M. L. Dunn, “Photomechanics of light-activated polymers,” Journal of the Mechanics and Physics of Solids, vol. 57, no. 7, pp. 1103–1121, 2009.
- T. Liu, T. Zhou, Y. Yao et al., “Stimulus methods of multi-functional shape memory polymer nanocomposites: a review,” Composites Part A: Applied Science and Manufacturing, vol. 100, pp. 20–30, 2017.
- Y. Yu, M. Nakano, and T. Ikeda, “Directed bending of a polymer film by light,” Nature, vol. 425, no. 6954, p. 145, 2003.
- A. Lendlein, H. Jiang, O. Jünger, and R. Langer, “Light-induced shape-memory polymers,” Nature, vol. 434, no. 7035, pp. 879–882, 2005.
- R. Mohr, K. Kratz, T. Weigel, M. Lucka-Gabor, M. Moneke, and A. Lendlein, “Initiation of shape-memory effect by inductive heating of magnetic nanoparticles in thermoplastic polymers,” Proceedings of the National Academy of Sciences, vol. 103, no. 10, pp. 3540–3545, 2006.
- M. Heuchel, M. Y. Razzaq, K. Kratz, M. Behl, and A. Lendlein, “Modeling the heat transfer in magneto-sensitive shape-memory polymer nanocomposites with dynamically changing surface area to volume ratios,” Polymer, vol. 65, pp. 215–222, 2015.
- M. Y. Razzaq, M. Behl, and A. Lendlein, “Memory-effects of magnetic nanocomposites,” Nanoscale, vol. 4, no. 20, p. 6181, 2012.
- H. B. Lv, Y. J. Liu, D. X. Zhang, J. S. Leng, and S. Y. Du, “Solution-responsive shape-memory polymer driven by forming hydrogen bonding,” Advanced Materials Research, vol. 47–50, pp. 258–261, 2008.
- W. M. Huang, B. Yang, L. An, C. Li, and Y. S. Chan, “Water-driven programmable polyurethane shape memory polymer: demonstration and mechanism,” Applied Physics Letters, vol. 86, no. 11, pp. 1–3, 2005.
- H. Chen, Y. Li, Y. Liu, T. Gong, L. Wang, and S. Zhou, “Highly pH-sensitive polyurethane exhibiting shape memory and drug release,” Polymer Chemistry, vol. 5, no. 17, pp. 5168–5174, 2014.
- X. J. Han, Z. Q. Dong, M. M. Fan et al., “PH-induced shape-memory polymers,” Macromolecular Rapid Communications, vol. 33, no. 12, pp. 1055–1060, 2012.
- Y. Li, H. Chen, D. Liu, W. Wang, Y. Liu, and S. Zhou, “PH-responsive shape memory poly(ethylene glycol)-poly(ε-caprolactone)-based polyurethane/cellulose nanocrystals nanocomposite,” ACS Applied Materials and Interfaces, vol. 7, no. 23, pp. 12988–12999, 2015.
- Y. Liu, K. Gall, M. L. Dunn, A. R. Greenberg, and J. Diani, “Thermomechanics of shape memory polymers: uniaxial experiments and constitutive modeling,” International Journal of Plasticity, vol. 22, no. 2, pp. 279–313, 2006.
- F. Liu and M. W. Urban, “Recent advances and challenges in designing stimuli-responsive polymers,” Progress in Polymer Science, vol. 35, no. 1-2, pp. 3–23, 2010.
- H. Tobushi, K. Okumura, S. Hayashi, and N. Ito, “Thermomechanical constitutive model of shape memory polymer,” Mechanics of Materials, vol. 33, no. 10, pp. 545–554, 2001.
- H. Tobushi and T. Hashimoto, “Thermomechanical constitutive modeling in shape memory polymer of polyurethane series,” Journal of Intelligent Material Systems and Structures, vol. 8, no. 8, pp. 711–718, 1997.
- M. Irie, “Shape memory polymer,” in Shape Memory Materials, K. Otsuka and C. M. Wayman, Eds., Cambridge University Press, Cambridge, UK, October 1999.
- Y. Liu, A. Rajadas, and A. Chattopadhyay, Self-Healing Nanocomposite Using Shape Memory Polymer and Carbon Nanotubes, vol. 8692, SPIE, Bellingham, WA, USA, 2013.
- G. Li and W. Xu, “Thermomechanical behavior of thermoset shape memory polymer programmed by cold-compression: testing and constitutive modeling,” Journal of the Mechanics and Physics of Solids, vol. 59, no. 6, pp. 1231–1250, 2011.
- R. Brown, K. Singh, and F. Khan, “Fabrication and vibration characterization of electrically triggered shape memory polymer beams,” Polymer Testing, vol. 61, pp. 74–82, 2017.
- C. Meiorin, M. I. Aranguren, and M. A. Mosiewicki, “Vegetable oil/styrene thermoset copolymers with shape memory behavior and damping capacity,” Polymer International, vol. 61, no. 5, pp. 735–742, 2012.
- G. Li and D. Nettles, “Thermomechanical characterization of a shape memory polymer based self-repairing syntactic foam,” Polymer, vol. 51, no. 3, pp. 755–762, 2010.
- S. J. Dyke, B. F. Spencer Jr., M. K. Sain, and J. D. Carlson, “An experimental study of MR dampers for seismic protection,” Smart Materials and Structures, vol. 7, no. 5, pp. 693–703, 1998.
- J. Kunzelman, T. Chung, P. T. Mather, and C. Weder, “Shape memory polymers with built-in threshold temperature sensors,” Journal of Materials Chemistry, vol. 18, no. 10, p. 1082, 2008.
- A. M. DiOrio, X. Luo, K. M. Lee, and P. T. Mather, “A functionally graded shape memory polymer,” Soft Matter, vol. 7, no. 1, pp. 68–74, 2011.
- Y. Yao, T. Zhou, J. Wang et al., “‘Two way’ shape memory composites based on electroactive polymer and thermoplastic membrane,” Composites Part A: Applied Science and Manufacturing, vol. 90, pp. 502–509, 2016.
- J. Xu and J. Song, “Thermal responsive shape memory polymers for biomedical applications,” Biomedical Engineering—Frontiers and Challenges, InTech, Rijeka, Croatia, 2011.
- D. T. Clifford, R. J. Zupan, J. C. Brigham, R. V. Beblow, M. Whittock, and N. Davis, “Application of the dynamic characteristics of shape-memory polymers to climate adaptive building facades,” in Proceedings of 12th Conference of Advanced Building Skins, pp. 171–178, Bern, Switzerland, October 2017.
- J. Zhou, S. A. Turner, S. M. Brosnan et al., “Reversible shape memory in semicrystalline elastomers,” Macromolecules, vol. 47, no. 5, pp. 1768–1776, 2014.
- T. Chung, A. Romo-Uribe, and P. T. Mather, “Two-way reversible shape memory in a semicrystalline network,” Macromolecules, vol. 41, no. 1, pp. 184–192, 2008.
- M. Bothe and T. Pretsch, “Two‐way shape changes of a shape‐memory poly(ester urethane),” Macromolecular Chemistry and Physics, vol. 213, no. 22, pp. 2378–2385, 2012.
- S. Chen, J. Hu, H. Zhuo, and Y. Zhu, “Two-way shape memory effect in polymer laminates,” Materials Letters, vol. 62, no. 25, pp. 4088–4090, 2008.
- V. Stroganov, M. Al-Hussein, J. U. Sommer, A. Janke, S. Zakharchenko, and L. Ionov, “Reversible thermosensitive biodegradable polymeric actuators based on confined crystallization,” Nano Letters, vol. 15, no. 3, pp. 1786–1790, 2015.
- M. Behl, K. Kratz, J. Zotzmann, U. Nöchel, and A. Lendlein, “Reversible bidirectional shape-memory polymers,” Advanced Materials, vol. 25, no. 32, pp. 4466–4469, 2013.
- T. Gong, K. Zhao, W. Wang, H. Chen, L. Wang, and S. Zhou, “Thermally activated reversible shape switch of polymer particles,” Journal of Materials Chemistry B, vol. 2, no. 39, pp. 6855–6866, 2014.
- M. Saatchi, M. Behl, U. Nöchel, and A. Lendlein, “Copolymer networks from oligo (ε -caprolactone) and n -butyl acrylate enable a reversible bidirectional shape-memory effect at human body temperature,” Macromolecular Rapid Communications, vol. 36, no. 10, pp. 880–884, 2015.
- K. K. Westbrook, P. T. Mather, V. Parakh et al., “Two-way reversible shape memory effects in a free-standing polymer composite,” Smart Materials and Structures, vol. 20, no. 6, 2011.
- S. Pandini, S. Passera, M. Messori et al., “Two-way reversible shape memory behaviour of crosslinked poly(ε-caprolactone),” Polymer, vol. 53, no. 9, pp. 1915–1924, 2012.
- M. Messori, M. Degli Esposti, K. Paderni et al., “Chemical and thermomechanical tailoring of the shape memory effect in poly(ε-caprolactone)-based systems,” Journal of Materials Science, vol. 48, no. 1, pp. 424–440, 2013.
- I. Kolesov, O. Dolynchuk, S. Borreck, and H. J. Radusch, “Morphology-controlled multiple one- and two-way shape-memory behavior of cross-linked polyethylene/poly(ε-caprolactone) blends,” Polymers for Advanced Technologies, vol. 25, no. 11, pp. 1315–1322, 2014.
- Y. Wu, J. Hu, J. Han et al., “Two-way shape memory polymer with ‘switch–spring’ composition by interpenetrating polymer network,” Journal of Materials Chemistry A, vol. 2, no. 44, pp. 18816–18822, 2014.
- J. Li, W. R. Rodgers, and T. Xie, “Semi-crystalline two-way shape memory elastomer,” Polymer, vol. 52, no. 23, pp. 5320–5325, 2011.
- L. Ma, J. Zhao, X. Wang et al., “Effects of carbon black nanoparticles on two-way reversible shape memory in crosslinked polyethylene,” Polymer (United Kingdom), vol. 56, pp. 490–497, 2015.
- R. Bogue, “Smart materials: a review of recent developments,” Assembly Automation, vol. 32, no. 1, pp. 3–7, 2012.
- S. Naficy, R. Gately, R. Gorkin, H. Xin, and G. M. Spinks, “4D Printing of Reversible Shape Morphing Hydrogel Structures,” Macromolecular Materials and Engineering, vol. 302, no. 1, 2017.
- J. Wang and L. Beltran, “A method of energy simulation for dynamic building envelopes,” in Proceedings of ASHRAE and IBPSA-USA SimBuild 2016, Building Performance Modeling Conference, pp. 298–303, Salt Lake City, UT, USA, August 2016.
- M. ming Huang, X. Dong, W. Liu, X. Gao, and D. Wang, “Recent progress in two-way shape memory crystalline polymer and its composites,” Acta Polymerica Sinica, vol. 4, pp. 563–579, 2017.
- H. Qin and P. T. Mather, “Combined one-way and two-way shape memory in a glass-forming nematic network,” Macromolecules, vol. 42, no. 1, pp. 273–280, 2009.
- G. Barot and I. J. Rao, “Constitutive modeling of the mechanics associated with crystallizable shape memory polymers,” Zeitschrift fur Angewandte Mathematik und Physik, vol. 57, no. 4, pp. 652–681, 2006.
- M. Bothe and T. Pretsch, “Bidirectional actuation of a thermoplastic polyurethane elastomer,” Journal of Materials Chemistry A, vol. 1, no. 46, pp. 14491–14497, 2013.
- V. Srivastava, S. A. Chester, and L. Anand, “Thermally actuated shape-memory polymers: experiments, theory, and numerical simulations,” Journal of the Mechanics and Physics of Solids, vol. 58, no. 8, pp. 1100–1124, 2010.
- Z. Wang, J. Liu, J. Guo, X. Sun, and L. Xu, “The study of thermal, mechanical and shape memory properties of chopped carbon fiber-reinforced TPI shape memory polymer composites,” Polymers, vol. 9, no. 11, p. 594, 2017.
- M. Danvenport and C. Risleyis, “Information visualization the state of the art for maritime domain awareness,” Conract Report, Defence R&D, Atlantic, QC, Canada, August 2006.
- H. Xie, C. Y. Cheng, X. Y. Deng et al., “Creating poly(tetramethylene oxide) glycol-based networks with tunable two-way shape memory effects via temperature-switched netpoints,” Macromolecules, vol. 50, no. 13, pp. 5155–5164, 2017.
- K. Wang, Y. G. Jia, and X. X. Zhu, “Two-way reversible shape memory polymers made of cross-linked cocrystallizable random copolymers with tunable actuation temperatures,” Macromolecules, vol. 50, no. 21, pp. 8570–8579, 2017.
- S. Tibbits, “4D printing: multi-material shape change,” Architectural Design, vol. 84, no. 1, pp. 116–121, 2014.
- Q. Ge, H. J. Qi, and M. L. Dunn, “Active materials by four-dimension printing,” Applied Physics Letters, vol. 103, no. 13, Article ID 131901, 2013.
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