Parameters Optimization for a Kind of Dynamic Vibration Absorber with Negative Stiffness

Shen, Yongjun; Wang, Xiaoran; Yang, Shaopu; Xing, Haijun

doi:https://doi.org/10.1155/2016/9624325

Mathematical Problems in Engineering

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Research Article | Open Access

Volume 2016 | Article ID 9624325 | https://doi.org/10.1155/2016/9624325

Parameters Optimization for a Kind of Dynamic Vibration Absorber with Negative Stiffness

Yongjun Shen,¹Xiaoran Wang,¹Shaopu Yang,¹and Haijun Xing¹

Academic Editor: Tomasz Kapitaniak

Received01 Apr 2016

Revised05 Jul 2016

Accepted10 Jul 2016

Published21 Aug 2016

Abstract

A new type of dynamic vibration absorber (DVA) with negative stiffness is studied in detail. At first, the analytical solution of the system is obtained based on the established differential motion equation. Three fixed points are found in the amplitude-frequency curves of the primary system. The design formulae for the optimum tuning ratio and optimum stiffness ratio of DVA are obtained by adjusting the three fixed points to the same height according to the fixed-point theory. Then, the optimum damping ratio is formulated by minimizing the maximum value of the amplitude-frequency curves according to optimization principle. According to the characteristics of negative stiffness element, the optimum negative stiffness ratio is also established and it could still keep the system stable. In the end, the comparison between the analytical and the numerical solutions verifies the correctness of the analytical solution. The comparisons with three other traditional DVAs under the harmonic and random excitations show that the presented DVA performs better in vibration absorption. This result could provide theoretical basis for optimum parameters design of similar DVAs.

1. Introduction

Vibration control is becoming important in many engineering practices. One of the common devices for vibration control is dynamic vibration absorber (DVA), which is widely used due to its properties such as efficiency, reliability, and low cost. Researches on DVA had been developed for more than 100 years since the first DVA without damping was invented by Frahm [1] in 1911. In 1928, Ormondroyd and Den Hartog [2] found that a DVA with damping element could suppress the amplitude of primary system in broader frequency range, which had been recognized as the typical Voigt type DVA. Ormondroyd and Den Hartog [2] also found that the amplitude-frequency curves of the primary system with damped DVA would pass through two fixed points which were independent of the absorber damping, and they proposed an optimization criterion to design Voigt type DVA. Hahnkamm [3] derived the optimum natural frequency ratio according to the optimization criterion and described this method as the fixed-point theory. Later, the optimum damping ratio was obtained by Brock [4] in 1946. Currently, the results based on the fixed-point theory have become the classic conclusions which were recorded in vibration engineering textbooks [5, 6]. However, the conclusions were approximate optimal solutions of Voigt type DVA relative to the exact solutions. Nishihara et al. [7, 8] derived the exact series solution for the stiffness and damping coefficient of Voigt type DVA and found that the results according to the fixed-point theory were very close to the exact series solution and the approximate forms were much simpler. Accordingly, the approximate optimization formulae were still used in engineering practices.

To further improve the control performance of DVA, Ren [9] presented a DVA where the damping element was not connected to the primary system but to the earth (a base structure) in 2001. The results indicated it could present better control performance than Voigt type DVA under the same parameter conditions. In 2005, K. Liu and J. Liu [10] got the same result for this DVA by another method. A large number of viscoelastic materials were used in vibration control engineering, and the viscoelastic materials had both damping and stiffness properties. Asami and Nishihara [11, 12] presented a three-element type DVA, which was used to model the viscoelasticity of the devices. They finished its optimization design and found the three-element type DVA had better control performance under the same mass ratio. Shen et al. [13, 14] studied the approximate analytical solution for four types of semiactive DVAs, and the effects of time delay on the control performance were also investigated.

Stiffness is the ability of resistance to external force. The positive stiffness means that the deformation is in the same direction as the applied external force. On the contrary, the negative stiffness means that the direction of deformation is opposite to that of the applied external force. Researches show that a single bulk solid object with negative stiffness is not stable. Many researches about the properties and stability conditions of the negative stiffness system had been reported in [15–21]. When the positive and negative springs are put in parallel, the system will show nonlinear characteristic near the equilibrium position. The load-bearing capacity of the system with negative stiffness may be better than the positive stiffness and its natural frequency will be reduced simultaneously. The system with negative stiffness has a better vibration control performance when it is stable. Thus, the introduction of negative stiffness to the vibration control system is necessary and meaningful. Platus [22] produced negative stiffness around equilibrium using the buckling of beams with axial load and got an isolation system by combining it with a linear positive spring. Trimboli et al. [23] proposed the application of negative stiffness in mechanical vibration isolator, where the negative stiffness and the positive stiffness springs were arranged in parallel. Park and Luu [24] studied the active control vibration isolator with negative stiffness, and the basic system characteristics were experimentally verified. Mizuno et al. [25–28] studied an active vibration isolation system combining zero-power magnetic suspensions analytically and experimentally. They found that a zero-power system behaved like negative stiffness system and could generate infinite stiffness if it was connected with a normal spring in series. Then, they proposed a new vibration isolation system using negative stiffness which was realized by active control technique [29]. In 2013, Acar and Yilmaz [30] studied a new adaptively passive DVA with a negative stiffness mechanism analytically and experimentally and found that it could suppress the amplitude of the system by appropriately adjusting the parameters. Yang et al. [31] investigated a nonlinear vibration isolation system with a negative stiffness mechanism. Zhu et al. [32] invented a kind of negative stiffness system used in gravity compensation for tiny vibration machines. In 2015, Li et al. [33] studied a kind of passively negative stiffness device based on preload of three springs. Many scholars had studied the application of negative stiffness in vibration isolation system for its advantages, but little work has been done about the optimal parameters of the DVA with negative stiffness. In 2015, Peng et al. [34] studied a new type of DVA with negative stiffness, finished its parameter optimization, and found that the DVA with negative stiffness had good control performance.

In this paper, the effect of negative stiffness on the amplitude of the primary system is studied by introducing the negative stiffness connected to the grounded three-element type DVA. The model is established and the optimum parameters are obtained based on the fixed-point theory in Section 2. The comparison of the analytical solution with the numerical one is fulfilled, and the result shows that the analytical solution is correct and satisfactorily precise. Then, the presented DVA is compared with other existing DVAs under harmonic excitation in Section 3 and random excitation in Section 4. It could be concluded that the system with the DVA in this paper has better control performance than the traditional Voigt type DVA, the DVA by Ren, and the DVA by Asami, whenever the primary system is subjected to harmonic or random excitations. This research may provide a new theoretical basis for designing new type of DVAs.

2. The Model of DVA and Parameters Optimization

2.1. The Analytical Solution

The grounded three-element type DVA with negative stiffness is shown in Figure 1.

According to Newtonian’s second law, the differential motion equation can be established aswhere , , , and are the masses and linear stiffness coefficients of the primary system and DVA, respectively. is the coefficient of negative stiffness spring which is connected to the earth directly; and are linear stiffness and damping coefficient of viscoelastic Maxwell model which are origination of three-element model. , , and are the displacement of the primary system, the absorber, and the split point of spring and damping in Maxwell model, respectively. and are the amplitude and frequency of the force excitation.

Using the following parametric transformation (1) becomesLetting in (3) be represented by , the steady-state solutions take the forms asSubstituting (4) into (3), one can obtainwhere is the imaginary unit and the other parameters are as follows:

Introducing the parametersand supposing is the normalized amplitude amplification factor of the primary system, one could obtainwhere

2.2. Parameters Optimization

By simple deduction of (8), it can be found that the normalized amplitude-frequency curve will pass through three points which are independent of the damping ratio. Some normalized amplitude-frequency curves under different damping ratios as 0.4, 0.5, and 0.9 are shown in Figure 2. It could be clearly seen that there exist three common fixed points , , and on all the curves, which are independent of the damping ratio. In order to find the values of the fixed points, the following equation should hold:Substituting (9) into (10), one can getwhere

Because the three fixed points have nothing to do with the damping ratio, one could obtain when , andwhen .

Accordingly, one can getFor simplicity, the three real roots of (11) are supposed as , , and . Once the values of , , and are determined, the ordinates in Figure 2 of the three fixed points could be obtained:

Optimum tuning of DVA will be accomplished with the condition that the three fixed points are adjusted to equal height. At first, by adjusting the fixed points and to equal height, that is to say, , one could obtainSubstituting (17) into (11), one can getSolving (18) for yieldsThen, (16) can be written as

Secondly, adjusting the points (or ) and to equal height, that is to say, in (20), one can obtain the optimum tuning condition with respect to : Substituting (21) into (17), the optimum value of could be established:At the fixed points, the normalized amplitude amplification factor of the primary system will be

For the condition of the three fixed points with equal height, optimum damping ratio is achieved when the two resonance peaks are adjusted to equal height, as shown in Figure 3.

In order to obtain the optimum damping ratio, one should know the abscissa values at the two resonance peaks, namely, . That meansSubstituting (8) into (24), the values of and can be obtained. Then, one could get through the similar way by Den Hartog [5]. However, it is difficult to obtain the analytical results due to the complicated forms in (24).

When the two resonance peaks are at the same height, one could observe that the point is almost the area where the slope of the amplitude-frequency curve is zero. The abscissa value of point in (19) has been obtained, so that the approximate optimum damping ratio can be solved according to the abscissa value of point ; namely,Solving (25), one can getFurthermore, one could obtain

At this point, there still exists an adjustable parameter in the optimum natural frequency ratio and damping ratio. It is clear that a negative will make the three fixed points much lower; that means one can get a better vibration control performance. According to the characteristic of negative stiffness, it can be achieved if the negative stiffness material is applied by preload. The preload will cause predisplacement of the primary system, so that an approximation is adopted which makes the predisplacement equal to the values of the three fixed points. That means the response value to zero-frequency excitation is equal to that of the three fixed points; that is,Accordingly, Solving (29), one can get the negative stiffness ratio as

When the possible values in (30) are taken into the other optimization parameters and the normalized amplitude amplification factor of the primary system, one could find that only can ensure the system stability and the other four possible values will cause the system to be unstable or make optimum damping ratio negative. Obviously, these four values are meaningless, so that only is taken as the optimum negative stiffness ratio:

At this time, all the optimal parameters of DVA in this paper are obtained as As a comparison and summarization, the models by Den Hartog et al. [5, 9, 11] are presented in Figure 4. All the optimal parameters of the four models are summarized in Table 1.

(a) The model by Den Hartog

(b) The model by Ren

(c) The model by Asami

Figure 5 shows the amplitude-frequency curve under the optimum parameters above, which is denoted by the solid line. It can be found that the optimization purposes are basically achieved. In order to illustrate the correctness and precision of the analytical solution, the numerical solution is also presented. In the numerical investigation, the four-order Runge-Kutta method is used to solve (3). Here, the total computation time is 100 times of the excitation period, and the maximum value of the later quarter of the time response is considered as the steady-state amplitude. From the observation, it can be concluded that the analytical and the numerical solution agree very well with each other.

3. Comparison with Other DVAs

In order to illustrate the control performance of the presented DVA with negative stiffness, the normalized amplitude-frequency curves of other typical DVAs proposed by Den Hartog et al. are also presented. Based on the same mass ratio , the other three curves are obtained based on the optimum parameters they presented [5, 9, 11]. Table 2 shows the values of optimal parameters used in presented comparison when . The four curves are shown in Figure 6 and denoted by dotted line, dash line, dash dot line, and solid line, respectively.

From the comparison, it can be concluded that the DVA in this paper can not only suppress the amplitude of the primary system in resonance region significantly but also extend the efficient frequency range of vibration absorption.

4. The Response of the Primary System to Random Excitation

The primary system is usually subject to random excitation in practical engineering, so that it is very important and meaningful to investigate the system response to random excitation. When the primary system is subjected to random excitation with zero mean and the power spectral density as , the power spectral density functions of the absolute displacement response of the negative stiffness model and the other three typical DVAs model arewhere the subscripts , , , and represent the negative stiffness model, the Voigt type DVA by Den Hartog, and the model by Ren and Asami, respectively. Peng et al. [34] had presented the mean square response of the primary system of the Voigt type DVA and the DVA by Ren; namely,where

The mean square response of the primary system of the DVA in this paper and the DVA by Asami can be deduced aswhere

According to Table 2, the mean square response of the primary system under the optimal parameters can be obtained, respectively, when :

The results show that the DVA with negative stiffness can still present better performance than the other DVAs even under the random excitation.

In order to get more realistic results, 50-second random excitation is constructed, which is composed of 5000 normalized random numbers with zero mean value and unit variance, respectively. The time history of the random excitation is shown in Figure 7. Here, we take the primary mass and stiffness of the primary system . Then, the other parameters can be calculated according to Table 1. And the parameters for the DVA proposed in this paper can be calculated according to (31) and (32). Based on the fourth-order Runge-Kutta method, the response of the primary system without DVA and with different DVAs can be obtained. The time history of these primary systems is shown in Figures 8–12. The response variances and decrease ratios of the primary system for the different systems are summarized in Table 3.

5. Conclusions

A new type of dynamic vibration absorber with negative stiffness is investigated. The study shows that there still exist three fixed points on the amplitude-frequency curves. Based on the fixed-point theory, the optimum tuning ratio, the optimum stiffness ratio, and the optimum damping ratio are obtained. The method to determine the optimum negative stiffness ratio is proposed, and accordingly the optimum negative stiffness ratio is determined. Then, the four-order Runge-Kutta method is used to get the numerical solutions, and the comparison with analytical solution is fulfilled. The comparison results show that the analytical solutions are satisfactorily precise. At last, the comparisons with other traditional DVAs show that the DVA in this paper can largely reduce the resonance amplitude and broaden vibration frequency range; even it can make the amplitude of the primary system remain small enough in the whole frequency range. The results are useful to design more effective dynamic vibration absorber.

Competing Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The authors are grateful to the support by National Natural Science Foundation of China (no. 11372198), the Cultivation Plan for Innovation team and leading talent in colleges and universities of Hebei province (LJRC018), the Program for Advanced Talent in the universities of Hebei province (GCC2014053), and the Program for Advanced Talent in Hebei province (A201401001).

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Copyright © 2016 Yongjun Shen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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