Abstract
Inspired by the body movement of the kangaroo, a multi-degree-of-freedom vibration isolation platform containing three units, that is, a protected object, a nonlinear energy sink, and an X-shaped structure, has been modeled, and the differential equations of the system have been given in the form of uniform relative coordinates. Furthermore, the displacement transmissibility analysis and numerical calculation are supported by the method of harmonic balance and Runge–Kutta algorithm, which shows that (a) there are nonlinear behaviors and resonant phenomenon in the time–frequency response and (b) quasi-periodic motion may be a predictor of periodic steady-state response or strong resonance, and the displacement evolution before quasi-periodic motion may be used to distinguish the two phenomena. In addition, based on the numerical method, the system energy changes in a selected frequency are discussed. Finally, the correctness of the theoretical analysis is verified by simulation data in Adams. Taken together, these results demonstrate that the dynamic characteristics are adjustable and designable of structural parameters in a specific frequency band and can provide a useful way to reduce the amplitude of resonant peaks and improve the vibration isolation performance for practical engineering applications.
Keywords
1. Introduction
The dynamical features and the vibration reduction of nonlinear engineering structure, as is well known, are widespread problems [Kamesh et al., 2012; Thanh and Kyoung, 2011; Robertson et al., 2009]. Great efforts, from various perspectives, were made to improve the performance of vibration isolation structure, such as installing metal rubber [Yu et al., 2017] to achieve vibration isolation, using a versatile n-layer scissorlike structure [Sun et al., 2014], attaching a mass to provide an inertial force [Chen et al., 2019], and using active components matching various control strategies (a disturbance feedforward control strategy, PID control, and an active tuned inerter damper with
In recent years, bionic vibration isolation design has attracted a lot of attention [Feng and Jing, 2019; Feng et al., 2019; Jing et al., 2019; Zang et al., 2018]. Inspired by the vibration isolation idea of the bird skeleton, Wu Z-J [Wu et al., 2015] designed a nonlinear mechanism to realize the zero stiffness and negative stiffness. Feng X [Feng et al., 2019] proposed an anti-vibration structure considering the swing of the human arm (abstracting the swing of the human arm as an inertial mass). In his subsequent research [Feng and Jing, 2019], he changed the arrangement of a spring–damper element and continued to discuss the dynamic characteristics of bionic human structure. Inspired by a bird limb skeleton, Jing X-J [Jing et al., 2019 ] proposed a bio-inspired anti-vibration exoskeleton, and the dynamic analysis and experiments demonstrate that the novel structure has significant engineering application. These works show that the bionic structure can provide satisfactory performance to the vibration isolation application.
Kangaroo, an ancient creature, can jump in various ground conditions and even cliffs. Except for the movement of its legs, the swing of the tail is always found during movement. Based on these behavioral characteristics, after an overall observation of kangaroo body, it can be inferred that its movement and body structure are consistent with requirements of vibration reduction. Furthermore, from the kangaroo anatomy diagram, it can be seen that the length ratio of thigh bone, calf bone, and foot bone is 1:2:1 as shown in Figure 1(a), which is consistent with the results obtained by dissecting 52 kangaroos [Hopwood and Butterfield, 1990]. Therefore, inspired by bionic thinking and the existing bionic vibration isolation mechanism [Wu et al., 2015; Jing et al., 2019; Feng and Jing, 2019; Feng et al., 2019], a multi-degree-of-freedom vibration isolation platform coupled with an inertial mass shown in Figure 1(b) is modeled and systematically studied. In Figure 1(b), the X-shaped structure is used to equivalent the kangaroo’s leg bones, and the inertial mass is used to equivalent the vibrating of the tail. And the spring–dampers in the X-shaped structure and the protected object are linear elements, and the inertial mass is linked by a nonlinear spring and a linear damper, known as the nonlinear energy sink (NES). Based on some similar references [Chouvion, 2019; Chen et al., 2020; Chen et al., 2020; Chen et al., 2019; Yang et al., 2017; Zang et al., 2018; Zang et al., 2019], the proposed design will be explored in this study. (a) Kangaroo skeleton diagram and (b) bionic structure diagram.
In many dynamic response evaluations, the displacement transmissibility is often used for strong nonlinear systems [Feng and Jing, 2019; Feng et al., 2019; Zang et al., 2019]. In addition, the responses in the time domain [Zang et al., 2019; Zang et al., 2018; Huang et al., 2019] and the changes of system energy [Zang et al., 2019; Tarcisio et al., 2018; Liu et al., 2017] can also disclose the dynamic behaviors in the specific frequency, which brings clear physical meaning and with computational convenience. Therefore, in the present work, the dynamical analysis in time and frequency domains will be completed to illustrate the effect of different parameters on vibration reduction. In addition, the effect of parameter changes on system energy dissipation is also discussed, which reveals a more comprehensive parameter influence.
These dynamic characteristics mentioned above can be revealed and discussed by analyzing or numerically solving the established mathematical model. There are a lot of methods that can be used to solve the differential equations. The usual methods are multiple scales method [Foroutan et al., 2019; Liu et al., 2017; Zulli and Luongo, 2016], harmonic balance method [Zang, et al., 2018; Zang, et al., 2019], the average method [Barkham and Soudack, 1969; Liu et al., 2017], complexification averaging technique [Huang et al., 2019], and some alternating frequency–time techniques [Fares et al., 2019; Zang, et al., 2018]. These proposed and applied methods well reveal the dynamic response in the time domain or frequency domain. So, in this work, the primary dynamic behavior of the system, including displacement transmissibility, the response in the time domain, and energy changes, is analytically and numerically explored by the harmonic balance method, Newton–Raphson iteration, and the Runge–Kutta numerical technique.
The article is organized as follows. In Section 2, the modeling process and the corresponding derivation is finished. Section 3 gives the displacement transmissibility analysis of the system under the periodic excitation. Section 4 reveals a series of numerical results in the specific frequency, such as amplitude spectrum, time history, and phase portrait under some different parameter groups. In Section 5, the change of the system energy is analyzed. Section 6 lists the conclusion.
2. Modeling and derivation tasks
2.1. Physical modeling
For convenience in modeling and analyzing, the vibration isolation device is designed as shown in Figure 2. From Figure 2, it is obvious that there are three units: the X-shaped unit which strictly imitates the ratio of kangaroo limb bones; the NES unit which is used to simulate the effect of the kangaroo’s tail on the vertical vibration reduction; and the protected object Vibration isolation platform.
2.2. Mathematical modeling, simplification, and dimensionless
The multi-degree-of-freedom dynamic equations can be obtained by the Lagrange principle
Now, the geometric relations are listed as follows to be used to simplify the complex dynamic equations. When the structure is disturbed, the shape of the X-shaped unit will change accordingly. The geometric analysis is shown in Figure 3 Geometric relationship diagram.
Combining the above geometric relations and Taylor series theory, equation (1a) can be expressed as
Furthermore, combining equation (3), equation (1b), and equation (1c), equation (1) reduces to the dimensionless form
To display all variables in a unified form, equation (7a) can be obtained by subtracting
Introduction of new relative dimensionless displacements as equation (8)
And one can transform equation (7) into the dimensionless form
3. Vibration amplitude response evaluation in frequency domain
Those strong nonlinear dynamical equations can be reduced to obtain steady-state response using the HBM. Many studies have proved that the harmonic balance method can give high accuracy compared with the other numerical method [Zang and Chen, 2017; Zang et al., 2019]. Therefore, to achieve a faster convergence of the numerical result, the external excitation and the responses can be assumed to be harmonic as equation (11)
Substituting equations (11) into (9), and equating the coefficients of each harmonic term and constant term of the both hands of resulting equations, a set of nonlinear algebraic equations are obtained as shown in Appendix B. For given choice parameters, the nonlinear algebraic equations can be numerically solved by the Newton–Raphson iteration. To evaluate the vibration isolation performance of the bio-inspired structure, the displacement transmissibility can be written as
The parameters are set as Displacement transmissibility with varying structural parameters. Vibration amplitude varying with the nonlinear energy sink and structural parameters. Vibration amplitude varying with the X-shaped parameters.


From the observation in Figure 4, for different
In Figure 4(c), the resonant frequency is decreased with the increase of the stiffness
The transmissibility curves for different damping
With other parameters determined as before, the effect of different NES parameters on frequency domain response is shown in Figure 5.
In Figure 5(a), it can be seen that the large mass
The effect of the X-shaped unit parameters on the displacement transmissibility is shown in Figure 6. In Figure 6(a), the resonant peak is decreased with the increasing of stiffness
The effect of the stiffness
The effects of the rod length
In a summary, (1) the system has two resonant frequencies over the entire frequency band, which are distributed around
4. Numerical analysis
4.1 Derivation of numerical calculation
Introducing some new variables by
Equation (9a)–(9c) can be rewritten as
In fact, equation (14) is a matrix equation that can be calculated by the Runge–Kutta method. In this section, the dynamic characteristics of the system in these special frequency bands mentioned above under some parameter groups are explored. And the initial parameters are set as Amplitude spectrum and the responses in the time domain of initial condition. Amplitude spectrum and the responses in the time domain of smaller horizontal stiffness 

Figure 7 shows the amplitude spectrum, as well as the time history and phase diagram under initial parameters. It can be seen that the amplitude spectrum has three kinds of unusual regions, that is, region I, region II, and region III as shown in Figure 7(a). Then, it is obvious that the frequency bands of these three unusual regions are consistent with those special frequency bands in the frequency domain analysis obtained by the harmonic balance method in Section 3. Next, the time history and phase diagram are analyzed by selecting the corresponding frequency from those three regions shown in Figure 7(b)–(i).
In Figure 7, picking
From Figure 8, it can be seen that with the decreasing of horizontal spring stiffness
From the analysis and diagrams above, the following points can be summarized. When the damping parameter of the protected object is strong, it has an important suppression effect on the high-frequency resonant peak. The NES parameter The bifurcation phenomenon at the frequency When the displacement of the protected object gradually decreases and converges to a quasi-periodic motion, a steady-state motion may occur; when the displacement gradually increases and converges to a quasi-periodic motion, and in this case, a resonance phenomenon may occur.
5. Energy analysis
The change of the system energy can be used to evaluate dynamic characteristics and parameter effect [Zang et al., 2019; Tarcisio et al., 2018; Li et al., 2017a, 2017b]. The kinetic energy and potential energy of the system are given
Because the expression of
Substituting equations (17) into (16), the potential energy can be obtained
Then, the system energy is given in the following
5.1. Effect on system energy of the protected object parameters
The change of system energy between the initial state and varying protected object parameters are shown below. Some of the results of energy changes are shown in Figure 9, and finally, all the results are shown in Table 1. Change of the system energy with different protected object parameters. Effect of parameters on the changing of system energy.
Figure 9 and Table 1 reveal that a larger protected object mass
Compared with the initial system energy, a larger nonlinear stiffness
As for the evaluation of the influence of X-shaped unit parameters on energy dissipation, the system energy is reduced by 16.951% relative to the energy of initial state with decreasing horizontal spring
Besides, the system energy decreases with the decreasing of vertical spring stiffness
Finally, it can be seen that with larger rod length, the initial energy of the system is reduced by 34.573%. As the angle
From the analysis about the system energy change, the vibration isolation performance caused by the parameters change is more comprehensively understood. In detail, although the displacement transmissibility becomes larger at the entire frequency domain for the larger mass of the protected object
5.2. Simulation verification
To validate the theoretical results, a simulation model as shown in Figure 10 is established in Adams. In this simulation test, the parameters of the simulation model are the same as the initial parameters in Section 3. The verification results are shown in Figure 11. Vibration simulation model in Adams. Comparison between the simulation data and theoretical result.

From the comparison between the simulation data and theoretical result (Figure 11), it can be clearly seen that the resonant frequency and the peak value of the displacement transmissibility curve of the theoretical result are in good agreement with the Adams simulation data, which indicates that the theoretical derivation is reliable.
5.3. Comparison discussions
Three systems are compared and discussed as shown in Figure 12. Figure 12(a) shows a linear system coupled with NES, where Comparison of the three systems.
The kinetic energy, the potential energy, and the dissipated energy of the system in Figure 12(a) are
The dimensionless dynamic equations can be obtained by the Lagrange principle
The dynamic equations of the system as shown in Figure 12(b) can be easily obtained from equation (9) as follows
The comparison curves of the displacement transmissibility for the three systems are shown in Figure 13. It is clear that the linear system coupled with NES and the X-shaped system only contains one resonant peak Comparison of simulation data and theoretical calculation.
Then, based on the parameters in Section 3.1, selecting specific frequency from Figure 13(a) and solving equations (9), (21), and (22) numerically, the vibration amplitude curves of the three systems are displayed in Figure 13(b)–(f). It can be seen from Figure 13(b) and (c) that the system without X-shaped structure has better vibration isolation effect in the frequency band
6. Conclusions
This study, an innovative kangaroo-like vibration isolation platform, is presented, analyzed, and evaluated. The HBM technique is applied to analyze approximately on the governing equation of system motion. Based on the results obtained by the HBM, the effect of structural parameters on displacement transmissibility is explored by the numerical method. Besides, the analysis in the time domain and the change of the system energy are supported by numerical calculation. Finally, an Adams simulation model is established, and the simulation data are almost consistent with the theoretical result of the displacement transmissibility, which verifies the correctness of the theoretical analysis. It can be concluded that the displacement transmissibility is adjustable and designable of structural parameters in a specific frequency band and can provide a useful idea to improve the performance of the proposed design. The bio-inspired vibration isolation platform can exhibit quasi-periodic motion or strong resonance between the first and second resonant frequencies. It can be inferred that quasi-periodic motion may be a predictor of periodic steady-state response or strong resonance. And the displacement evolution before quasi-periodic motion may be used to distinguish the two phenomena. The three units independently performed time and frequency response analysis as well as the analysis of system energy change, and some interesting results are found: (i) In the protected object unit, the larger the mass, the greater the frequency domain response, but the system energy is maintained at a relatively low level and (ii) in the NES structure, the change of nonlinear stiffness has a greater impact on the system time domain response and energy change than the change of the mass. Although the NES parameters of the system have little effect on the displacement transmissibility characteristics, they have a greater influence on the dynamic behavior evolving over time of the system and the system energy dissipation. Compared with the linear system, the proposed nonlinear geometric structure has more excellent dynamic characteristics in more wide frequency bands.
Finally, the dynamic characteristics of the bio-inspired vibration isolation platform under random excitation might be useful and meaningful, and it can be further studied. Moreover, for the characteristics of the system in the time and frequency domains, some potential design issues can be further research too.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was financially supported by the National Natural Science Foundation of China (Grant No. 51305288,51805347), Natural Science Foundation of Shanxi Province (Grant No. 201901D111245, 201901D111238, 201901D211293, 201801D121171), the Fund for Shanxi “1331 Project” Key Subjects Construction (Grant No.1331KSC), and Shanxi Science and Technology Foundation Platform Construction Projects (Grant No. 201805D121005).
Appendix A
Appendix B
Appendix C
