Keywords

2.1 Introduction

Inerter has been applied in various mechanical systems. However, among these applications, inerter always appears in some mechanical networks which possess more complex structures than the conventional networks consisting of only springs and dampers. The networks with inerters will surely be better than or at least equal to the conventional networks consisting of only springs and dampers as they can always reduce to the conventional ones when the values of element coefficients (spring stiffness, damping coefficient, or inertance) become zero or infinity (Chen et al. 2012). It is true that inerter can provide extra flexibility in structure, but the basic functionality of inerter in vibration systems has not yet been clearly understood and demonstrated.

It is well known that in a vibration system, spring can store energy, provide static support, and determine the natural frequencies, while viscous damper can dissipate energy, limit the amplitude of oscillation at resonance, and slightly decrease the natural frequencies if the damping is small (Tomson 1993). As shown in Smith (2002), inerter can store energy. However, for the other inherent properties of vibration systems such as natural frequencies, the influence of inerter has not been investigated before.

The objective of this chapter is to study the fundamental influence of inerter on the natural frequencies of vibration systems. The fact that inerter can reduce the natural frequencies of vibration systems is theoretically demonstrated in this chapter and the question that how to efficiently use inerter to reduce the natural frequencies is also addressed.

Fig. 2.1
figure 1

A single-degree-of-freedom spring–mass system

2.2 Preliminary

It is well known that all systems containing mass and elasticity are capable of free vibration, that is, the vibration occurring without external excitation (Tomson 1993). Natural frequency of vibration is of primary interest for such systems. For a single-degree-of-freedom spring–mass system shown in Fig. 2.1, the motion of equation can be written as

$$ m \ddot{x} + c \dot{x} + kx = 0. $$

In another form,

$$\begin{aligned} \ddot{x} + 2\zeta \omega _n \dot{x} + \omega ^2_n x =0, \end{aligned}$$
(2.1)

where

$$ \omega _n = \sqrt{\frac{k}{m}},~\zeta = \frac{c}{2\sqrt{mk}}. $$

Here, \(\omega _n\) is called natural frequency and \(\zeta \) is the mode damping coefficient.

Since the influence of damping on natural frequencies is well known, only the undamped conservative systems are considered for simplicity. For the undamped system, i.e., \(\zeta =0\), the solution of (2.1) is

$$ x(t) = \frac{\dot{x}(0)}{\omega _n} \sin \omega _n t+ x(0) \cos \omega _n t, $$

where \(\dot{x}(0)\) and x(0) are the initial velocity and displacement. This implies that the system harmonically vibrates at the natural frequency.

For forced vibration cases, when the frequency of the excitation is equal to one of the natural frequencies, there may occur a phenomenon known as resonance, which may lead to excessive deflections and failure (Tse et al. 1979). In practice, it is always desirable to adjust the natural frequencies of a vibration system to avoid or induce resonance where appropriate. For example, for vibration-based self-powered systems (Beeby et al. 2006) (as shown in Fig. 2.2), the natural frequency of an embedded spring–mass system should be consistent with the environment to obtain maximum vibration power by utilizing resonance, while for the engine mounting systems (Yu et al. 2001), the natural frequency should be below the engine disturbance frequency of the engine idle speed to avoid excitation of mounting system resonance.

Fig. 2.2
figure 2

Model of a vibration-based self-powered system

The traditional methods to reduce the natural frequencies of an elastic system are either decreasing the elastic stiffness or increasing the mass of the vibration system. However, this may be problematic; for example, the stiffness values of an engine mount that are too low will lead to large static and quasi-static engine displacements and damage of some engine components (Yu et al. 2001). It will be shown below that other than these two methods, a parallel-connected inerter can also effectively reduce natural frequencies.

2.3 Single-Degree-of-Freedom System

A SDOF system with an inerter is shown in Fig. 2.3. The equation of motion for free vibration of this system is

$$\begin{aligned} (m+b)\ddot{x}+k x=0. \end{aligned}$$
(2.2)
Fig. 2.3
figure 3

SDOF system with an inerter

Transformation of the above equation into the standard form for vibration analysis yields

$$ \ddot{x}+\omega ^2_n x=0, $$

where \(\omega _n=\sqrt{\frac{k}{m+b}}\) is called the natural frequency of the undamped system.

Proposition 1

The natural frequency \(\omega _n\) of an SDOF system is a decreasing function of the inertance b. Thus, inerter can reduce the natural frequency of an SDOF system.

Remark 2.1

Note that in Smith (2002), one application of inerter is to simulate the mass by connecting a terminal of an inerter to the mechanical ground. Observing (2.2), one concludes that the inerter with one terminal connected to ground can effectively enlarge the mass which is connected at the other terminal.

2.4 Two-Degree-of-Freedom System

To investigate the general influence of inerter on the natural frequencies of a vibration system, a TDOF system, shown in Fig. 2.4, is investigated in this section.

Fig. 2.4
figure 4

TDOF system with two inerters

The equations of motion for free vibration of this system are

$$\begin{aligned} m_1\ddot{x}_1+k_1(x_1-x_2)+b_1(\ddot{x}_1-\ddot{x}_2)= & {} 0,\\ m_2\ddot{x}_2-k_1(x_1-x_2)-b_1(\ddot{x}_1-\ddot{x}_2)+k_2x_2+b_2\ddot{x}_2= & {} 0, \end{aligned}$$

or, in a compact form,

$$ \mathbf {M}\ddot{\mathbf {x}}+\mathbf {K}\mathbf {x}=0, $$

where \(\mathbf {M}\) is called the inertia matrix and \(\mathbf {K}\) is the stiffness matrix (Tse et al. 1979), and

$$ \mathbf {M}=\left[ \begin{array}{cc} m_1+b_1 &{} -b_1\\ -b_1 &{} m_2+b_1+b_2\end{array}\right] ,\quad \mathbf {K}=\left[ \begin{array}{cc} k_1 &{} -k_1 \\ -k_1 &{} k_1+k_2\end{array}\right] . $$

Note that the inertances \(b_1\) and \(b_2\) only exist in the inertia matrix \(\mathbf {M}\), but the positions of \(b_1\) and \(b_2\) are different as \(b_1\) exists in all the elements of \(\mathbf {M}\) while \(b_2\) only appears in the last element of \(\mathbf {M}\). Since one terminal of \(b_2\) is connected to the ground, \(b_2\) effectively enlarges the mass \(m_2\), which is consistent with the conclusion made in Remark 2.1.

The two natural frequencies can be obtained by solving the characteristic equation (Tse et al. 1979)

$$\begin{aligned} \varDelta (\omega )= & {} \left| \mathbf {K}-\mathbf {M}\omega ^2\right| \nonumber \\= & {} (m_1m_2+m_1(b_1+b_2)+m_2b_1+b_1b_2)\omega ^4-((m_1+m_2)k_1+m_1k_2+\nonumber \\&k_1b_2+b_1k_2)\omega ^2+k_1k_2=0, \end{aligned}$$
(2.3)

which yields

$$\begin{aligned} \omega _{n1}= & {} \sqrt{\frac{k_1k_2(f_1+f_2-\sqrt{(f_1-f_2)^2+4d_0})}{2(f_1f_2-d_0)}}, \end{aligned}$$
(2.4)
$$\begin{aligned} \omega _{n2}= & {} \sqrt{\frac{k_1k_2(f_1+f_2+\sqrt{(f_1-f_2)^2+4d_0})}{2(f_1f_2-d_0)}}, \end{aligned}$$
(2.5)

where \(f_1=(m_1+m_2+b_2)k_1\), \(f_2=(m_1+b_1)k_2\), and \(d_0=k_1k_2m_1^2\).

Proposition 2

For a TDOF system with two inerters, both natural frequencies \(\omega _{n1}\) and \(\omega _{n2}\) are decreasing functions of the inertances \(b_1\) and \(b_2\).

Proof

The monotonicity of \(\omega _{n1}\) and \(\omega _{n2}\) can be proven by checking the signs of the first-order derivatives of \(\omega ^2_{n1}\) and \(\omega ^2_{n2}\) in terms of \(f_1\) and \(f_2\), respectively.

$$\begin{aligned} \frac{\partial \omega ^2_{n1}}{\partial f_1}= & {} -\frac{k_1k_2(q_1-q_2)}{2(d_0-f_1f_2)^2\sqrt{(f_1-f_2)^2+4d_0}},\\ \frac{\partial \omega ^2_{n2}}{\partial f_1}= & {} -\frac{k_1k_2(q_1+q_2)}{2(d_0-f_1f_2)^2\sqrt{(f_1-f_2)^2+4d_0}}, \end{aligned}$$

where \(q_1=(d_0+f_2^2)\sqrt{(f_1-f_2)^2+4d_0}\) and \(q_2=f_1(d_0-f_2^2)+3f_2d_0+f_2^3\).

Note that \(q_1>0\) and

$$ q_1^2-q_2^2=4d_0f_2^2(f_1-d_0/f_2)^2, $$

so one obtains \(|q_1|>|q_2|\), which implies \( \frac{\partial \omega ^2_{n1}}{\partial f_1}<0\) and \(\frac{\partial \omega ^2_{n2}}{\partial f_1}<0\), that is, both \(\omega _{n1}\) and \(\omega _{n2}\) are decreasing functions of inertance \(b_2\).

Similarly,

$$\begin{aligned} \frac{\partial \omega ^2_{n1}}{\partial f_2}= & {} -\frac{k_1k_2(q_3-q_4)}{2(d_0-f_1f_2)^2\sqrt{(f_1-f_2)^2+4d_0}},\\ \frac{\partial \omega ^2_{n2}}{\partial f_2}= & {} -\frac{k_1k_2(q_3+q_4)}{2(d_0-f_1f_2)^2\sqrt{(f_1-f_2)^2+4d_0}}, \end{aligned}$$

where \(q_3=(d_0+f_1^2)\sqrt{(f_1-f_2)^2+4d_0}\) and \(q_4=f_2(d_0-f_1^2)+3f_1d_0+f_1^3\).

Since \(q_3>0\) and \( q_3^2-q_4^2=4d_0f_1^2(f_2-d_0/f_1)^2>0 \), one has \(|q_3|>|q_4|\), \( \frac{\partial \omega ^2_{n1}}{\partial f_2}< 0\), and \( \frac{\partial \omega ^2_{n2}}{\partial f_2}< 0\), that is, both \(\omega _{n1}\) and \(\omega _{n2}\) are decreasing functions of inertance \(b_1\).    \(\square \)

2.5 Multi-degree-of-Freedom System

From the previous two sections, one sees that inerter can reduce the natural frequencies of both SDOF and TDOF systems. To find out whether this holds for any vibration system, a general MDOF system, shown in Fig. 2.5, is investigated in this section.

Fig. 2.5
figure 5

MDOF system with inerters

The equations of motion of the MDOF system shown in Fig. 2.5 are

$$ \mathbf {M}\ddot{\mathbf {x}}+\mathbf {K}\mathbf {x}=0, $$

where \(\mathbf {x}=[x_1,x_2,\ldots ,x_n]^T\), and

$$\begin{aligned} \mathbf {M}= & {} \left[ \begin{array}{ccccc} m_1+b_1 &{} -b_1 &{} &{} \\ -b_1 &{} m_2+b_1+b_2 &{} -b_2 &{} \\ &{} \ddots &{} \ddots &{} \ddots \\ &{} &{} -b_{n-1} &{} m_n+b_{n-1}+b_n \end{array}\right] ,\\ \mathbf {K}= & {} \left[ \begin{array}{cccccc} k_1 &{} -k_1 &{} &{} \\ -k_1 &{} k_1+k_2 &{} -k_2 &{} \\ &{} \ddots &{} \ddots &{} \ddots \\ &{} &{} -k_{n-1} &{} k_{n-1}+k_n \end{array}\right] . \end{aligned}$$

It is well known that the free vibration of the MDOF system can be described by the eigenvalue problem as follows (Tomson 1993; Zhao and DeWolf 1999)

$$\begin{aligned} (\mathbf {K}-\mathbf {M}\lambda _j) \mathbf {\varvec{\varphi _j}}=\mathbf {0}, \end{aligned}$$
(2.6)

where \(j=1,\ldots ,n\), \(\omega _{ni}=\sqrt{\lambda _j}\) are the natural frequencies of this system, and \(\varvec{\varphi _j}\) is the jth mode shape corresponding to natural frequency \(\omega _{nj}\) and is normalized to be unit-mass mode shapes, i.e., \(\varvec{\varphi _j}^T\mathbf {M}\varvec{\varphi _j}=1\).

Sensitivity analysis is performed on the eigenvalues and eigenvectors with respect to each inertance and the following proposition is derived.

Proposition 3

Consider the MDOF system shown in Fig. 2.5. For an arbitrary eigenvalue \(\lambda _j\), \(j=1,\ldots ,n\), and an arbitrary inertance \(b_i\), \(i=1,\ldots ,n\), the following equations hold:

$$\begin{aligned} \frac{\partial \lambda _j}{\partial b_i}= & {} -\lambda _j \varPhi _{ij}, \end{aligned}$$
(2.7)
$$\begin{aligned} \frac{\partial \varPhi _{ij}}{\partial b_i}= & {} 2\varPhi _{ij}\left( -\frac{1}{2}\varPhi _{ij}+\sum _{l=1,l\ne j}^n \frac{\lambda _j}{\lambda _l-\lambda _j} \varPhi _{il}\right) , \end{aligned}$$
(2.8)
$$\begin{aligned} \frac{\partial ^2 \lambda _j}{\partial b_i^2}= & {} 2\lambda _j \varPhi _{ij}\left( \varPhi _{ij}-\sum _{l=1,l\ne j}^n \frac{\lambda _j}{\lambda _l-\lambda _j} \varPhi _{il}\right) , \end{aligned}$$
(2.9)

where \(\varPhi _{ij}\), \(j=1,\dots ,n\), is defined as

$$ \varPhi _{ij}=\varvec{\varphi _j}^T \frac{\partial \mathbf {M}}{\partial b_i}\varvec{\varphi _j}=\left\{ \begin{array}{lc} \left( \varvec{\varphi _j^{(i)}}-\varvec{\varphi _j^{(i+1)}}\right) ^2, &{} i\ne n\\ \left( \varvec{\varphi _j^{(n)}}\right) ^2, &{} i=n \end{array}\right. $$

Proof

The proof is inspired by the sensitivity analysis on natural frequencies (eigenvalues) and model shapes (eigenvectors) with respect to structure parameters in Zhao and DeWolf (1999), Lin and Parker (1999), Lee and Kim (1999).

Sensitivity analysis on natural frequencies:

Considering the influence of the ith inertance \(b_i\) on the jth natural frequency \(\omega _{nj}\), the derivative of (2.6) with respect to \(b_i\) is

$$\begin{aligned} \left( \frac{\partial \mathbf {K}}{\partial b_i}-\frac{\partial \lambda _j}{\partial b_i}\mathbf {M}-\lambda _j \frac{\partial \mathbf {M}}{\partial b_i}\right) \varvec{\varphi _j}+(\mathbf {K}-\lambda _j \mathbf {M})\frac{\partial \varvec{\varphi _j}}{\partial b_i}=0. \end{aligned}$$
(2.10)

Premultiplying both sides of (2.10) by \(\varvec{\varphi _j}^T\) and considering the relations that \(\frac{\partial \mathbf {K}}{\partial b_i}=0\) (\(\mathbf {K}\) is independent of \(b_i\)), \(\varvec{\varphi _j}^T(\mathbf {K}-\lambda _j\mathbf {M})=0\), and \(\varvec{\varphi _j}^T\mathbf {M}\varvec{\varphi _j}=1\), one obtains

$$\begin{aligned} \frac{\partial \lambda _j}{\partial b_i}= -\lambda _j \varvec{\varphi _j}^T \frac{\partial \mathbf {M}}{\partial b_i}\varvec{\varphi _j}=0. \end{aligned}$$
(2.11)

Note that

$$\begin{aligned} \frac{\partial \mathbf {M}}{\partial b_i}=\left\{ \begin{array}{lc} \left[ \begin{array}{cccccc} 0 &{} &{} &{} &{} &{} \\ &{} \ddots &{} &{} &{} &{} \\ &{} &{} 1&{} -1 &{} &{} \\ &{} &{} -1 &{} 1 &{} &{} \\ &{} &{} &{} &{} \ddots &{} \\ &{} &{} &{} &{} &{} 0 \end{array}\right] , &{} i\ne n\\ \left[ \begin{array}{cccc} 0 &{} &{} &{} \\ &{} \ddots &{} &{} \\ &{} &{} 0 &{} \\ &{} &{} &{} 1 \end{array}\right] ,&i=n \end{array}\right. \end{aligned}$$
(2.12)

where the nonzero elements for the case \(i\ne n\) locate on the ith, \(i+1\)th rows and ith, \(i+1\)th columns.

Thus, one obtains

$$\begin{aligned} \frac{\partial \lambda _j}{\partial b_i}=\left\{ \begin{array}{lc} -\lambda _j \left( \varvec{\varphi _j}^{(i)}-\varvec{\varphi _j}^{(i+1)}\right) ^2, &{} i\ne n \\ -\lambda _j \left( \varvec{\varphi _j}^{(n)}\right) ^2, &{} i=n \end{array}\right. \end{aligned}$$
(2.13)

where \(\varvec{\varphi _j}^{(i)}\), \(i=1,\ldots ,n\), denotes the ith element of \(\varvec{\varphi _j}\).

Denoting

$$ \varPhi _{ij}=\varvec{\varphi _j}^T \frac{\partial \mathbf {M}}{\partial b_i}\varvec{\varphi _j}=\left\{ \begin{array}{lc} \left( \varvec{\varphi _j^{(i)}}-\varvec{\varphi _j^{(i+1)}}\right) ^2, &{} i\ne n\\ \left( \varvec{\varphi _j^{(n)}}\right) ^2, &{} i=n \end{array}\right. $$

where \(j=1,\ldots ,n\), one obtains (2.7).    \(\square \)

It is clearly shown in (2.7) that

$$ \frac{\partial \lambda _j}{\partial b_i}\le 0, $$

and the equality is achieved if \(\varvec{\varphi _j}^{(i)}=\varvec{\varphi _j}^{(i+1)}\) for \(i\ne n\) or \(\varvec{\varphi _j}^{(n)}=0\) for \(i=n\). Since j and i are arbitrarily selected, (2.7) holds for any natural frequency with respect to any inertance \(b_i\), which means that the natural frequencies of the MDOF system can always be reduced by increasing the inertance of any inerter.

Note that for a discrete vibration system, \(\lambda _j>0\), \(j=1,\ldots ,n\) always holds (if \(\lambda _j=0\), the vibration system reduces to a lower degree-of-freedom system), then the necessary and sufficient condition for \(\frac{\partial \lambda _j}{\partial b_i}\le 0\) is

$$\begin{aligned} \frac{\partial \mathbf {M}}{\partial b_i}\ge 0. \end{aligned}$$
(2.14)

Thus, one obtains the following proposition:

Proposition 4

  1. 1.

    The natural frequencies of the MDOF system shown in Fig. 2.5 can always be reduced by increasing the inertance of any inerter.

  2. 2.

    The natural frequencies of any MDOF system can be reduced by an inerter if the inertial matrix satisfies (2.14).

Remark 2.2

The second conclusion in Proposition 4 means that the vibration systems of which the natural frequencies can be reduced by using an inerter are not restricted to the “uni-axial” MDOF system shown in Fig. 2.5, but any MDOF system satisfying (2.14), such as full-car suspension systems (Smith and Wang 2004), train suspension systems (Wang and Liao 2009; Wang et al. 2011; Jiang et al. 2012), buildings (Wang et al. 2010), etc.

Remark 2.3

Proposition 4 is easy to interpret physically. For a small increment of inertance \(\varepsilon _{b_i}\) of a particular inerter \(b_i\), one obtains

$$\begin{aligned} \mathbf {M}=\mathbf {M}_0+\varepsilon _{b_i} \frac{\partial \mathbf {M}}{\partial b_i}, \end{aligned}$$
(2.15)

where \(\mathbf {M_0}\) is the original inertial matrix. Sine \(\frac{\partial \mathbf {M}}{\partial b_i}\) is positive semidefine, (2.15) can be interpreted as increasing the mass of the whole system, which will surely result in the reduction of natural frequencies.

Note that from Proposition 4, it seems that any natural frequency of an MDOF system will be reduced if an inerter with a relatively large value of inertance is inserted since the added inertance can always be viewed as an integration of small increments. However, this is not always true since there exist permutations of two particular natural frequencies if the divergence between two eigenvalues of the original system is not large enough or the increment of inertance \(\varepsilon _{b_i}\) is not small enough. Figure 2.6 shows the permutation of the natural frequencies of a three-degree-of-freedom system. As shown in Fig. 2.6, if one denotes the eigenvalues in the order of \(\lambda _1\ge \lambda _2\ge \ldots \ge \lambda _n\) all the time, the \(\lambda _i\), \(i=1,\ldots ,n\), will always decrease when the inertance increases. Hence, in the following sections, the eigenvalues are always sorted in a descending order unless otherwise stated.

Fig. 2.6
figure 6

The permutation of natural frequencies of a three-degree-of-freedom system with \(m_i=100\) kg, \(k_i=1000\) N/m, \(i=1,2,3\) and \(b_1=b_3=0\) kg, \(b_2 \in [0,600]\) kg

Remark 2.4

Note that the equality sign can be achieved for some natural frequencies of a particular system. This means that for some particular system, it is possible to reduce part of natural frequencies while maintaining others unchanged. This fact can be demonstrated by using a Two DOF system as shown in Fig. 2.7. If \(m_1=m_2=m\), \(k_1=k_3=k\), \(b_1=b_3=b\), then the natural frequencies of the system are

Fig. 2.7
figure 7

A special TDOF system

$$\begin{aligned} \omega _{n1}= & {} \sqrt{\frac{k}{m+b}}, \end{aligned}$$
(2.16)
$$\begin{aligned} \omega _{n2}= & {} \sqrt{\frac{k+2k_2}{m+b+2b_2}}. \end{aligned}$$
(2.17)

It is clear that increasing \(b_2\) can reduce \(\omega _{n2}\) but cannot reduce \(\omega _{n1}\).

2.6 Influence of the Inerter Position on the Natural Frequencies

The fact that inerter can reduce the natural frequencies of any MDOF system satisfying (2.14) has been demonstrated. However, for an MDOF system such as the “uni-axial” MDOF system shown in Fig. 2.5, the influence of inerter position on a specific natural frequency is still unknown. In particular, a practical problem is: for a specific natural frequency such as the largest natural frequency, where is the most efficient position to insert an inerter so that the largest reduction will be achieved? A TDOF system shown in Fig. 2.4 will be investigated in detail and analytical solutions will be derived for the TDOF system.

Considering (2.13) with \(n=2\), one obtains

$$\begin{aligned} \frac{\partial \lambda _j}{\partial b_1}= & {} -\lambda _j \left( \varvec{\varphi _j^{(1)}}-\varvec{\varphi _j^{(2)}}\right) ^2, \end{aligned}$$
(2.18)
$$\begin{aligned} \frac{\partial \lambda _j}{\partial b_2}= & {} -\lambda _j \left( \varvec{\varphi _j^{(2)}}\right) ^2, \end{aligned}$$
(2.19)

where \(j=1,2\).

For a small increment of inertance, to compare the efficiency of reducing natural frequencies in terms of \(b_1\) and \(b_2\), it is equivalent to compare the absolute values of the derivatives in (2.18) and (2.19). Then, the following proposition can be derived.

Proposition 5

For a small increment of inertance and for a specific \(\lambda _j\), \(j=1,2\), it is more efficient to increase \(b_1\) than \(b_2\) if

$$\begin{aligned} \frac{k_1}{2m_1+b_1}<\lambda _{j0}<\frac{k_1}{b_1}, \end{aligned}$$
(2.20)

or

$$\begin{aligned} \lambda _{j0}>\frac{k_2}{m_2+b_2},~\text {or}~\lambda _{j0}<\frac{k_2}{m_2+b_2+2m_1}. \end{aligned}$$
(2.21)

It is more efficient to increase \(b_2\) than \(b_1\) if

$$\begin{aligned} \lambda _{j0}>\frac{k_1}{b_1},~\text {or}~\lambda _{j0}<\frac{k_1}{b_1+2m_1}, \end{aligned}$$
(2.22)

or

$$\begin{aligned} \frac{k_2}{m_2+b_2+2m_1}<\lambda _{j0}<\frac{k_2}{m_2+b_2}, \end{aligned}$$
(2.23)

where \(\lambda _{j0}\), \(j=1,2\) denote the eigenvalues of the original system.

Proof

Considering (2.6), one obtains

$$\begin{aligned} \varvec{\varphi _j}^{(1)}-\varvec{\varphi _j}^{(2)}= & {} \frac{\lambda _j m_1}{k_1-\lambda _j (m_1+b_1)} \varvec{\varphi _j}^{(2)}, \end{aligned}$$
(2.24)
$$\begin{aligned}= & {} \frac{k_2-\lambda _j (m_1+m_2+b_2)}{\lambda _j m_1}\varvec{\varphi _j}^{(2)}, \end{aligned}$$
(2.25)

where \(j=1,2\), and (2.24) is obtained by checking the first row of (2.6) and (2.25) is obtained by summing the first and second rows of (2.6).

Note that

$$ \left| \frac{\partial \lambda _j}{\partial b_1}\right| -\left| \frac{\partial \lambda _j}{\partial b_2}\right| =\lambda _j \left( (\varvec{\varphi _j}^{(1)}-\varvec{\varphi _j}^{(2)})^2-(\varvec{\varphi _j}^{(2)})^2\right) . $$

Substituting (2.24) and (2.25), separately, one obtains the conditions in Proposition 5.    \(\square \)

Note that (2.20) and (2.21), (2.22) and (2.23) are equivalent, because (2.24) and (2.25) are equivalent. Proposition 5 is only applied to the case that the increment of inertance is small, as it is obtained by comparing the slopes of the tangent lines as shown in the proof of Proposition 5. If large increments of inertance are allowed for a given system that can be modeled as Fig. 2.4 and no inerter is employed in the original system, the question that which is more efficient in terms of \(b_1\) and \(b_2\) will be investigated as follows.

To answer this question, one needs to check two situations, where \(b_2=0\) or \(b_1=0\), respectively. If \(b_2=0\), \(b_1=b\), from (2.4) and (2.5), one has

$$\begin{aligned} \omega _{n1}= & {} \sqrt{\frac{(m_1+m_2)k_1+m_1k_2+k_2b_1-\sqrt{((m_1+m_2)k_1-m_1k_2-b_1k_2)^2+4k_1k_2m_1^2}}{2(m_1m_2+(m_1+m_2)b_1)}},\\ \omega _{n2}= & {} \sqrt{\frac{(m_1+m_2)k_1+m_1k_2+k_2b_1+\sqrt{((m_1+m_2)k_1-m_1k_2-b_1k_2)^2+4k_1k_2m_1^2}}{2(m_1m_2+(m_1+m_2)b_1)}}. \end{aligned}$$

If \(b_1=0\), \(b_2=b\), one has

$$\begin{aligned} \omega ^\prime _{n1}= & {} \sqrt{\frac{(m_1+m_2)k_1+m_1k_2+k_1b_2-\sqrt{((m_1+m_2)k_1-m_1k_2+b_2k_1)^2+4k_1k_2m_1^2}}{2(m_1m_2+m_1b_2)}},\\ \omega ^\prime _{n2}= & {} \sqrt{\frac{(m_1+m_2)k_1+m_1k_2+k_1b_2+\sqrt{((m_1+m_2)k_1-m_1k_2+b_2k_1)^2+4k_1k_2m_1^2}}{2(m_1m_2+m_1b_2)}}. \end{aligned}$$

The above question can be answered by comparing \(\omega _{n1}\) and \(\omega _{n2}\) with \(\omega ^\prime _{n1}\) and \(\omega ^\prime _{n2}\), respectively. Thus, one has the following proposition.

Proposition 6

Denote

$$ b_0=\frac{k_1m_2(2m_1k_2-(2m_1+m_2)k_1)}{(k_2-k_1)(m_1k_2-(m_1+m_2)k_1)}. $$

For the larger natural frequency \(\omega _{n2}\):

If \(k_2\le (1+\frac{m_2}{m_1})k_1\), \(b_1\) is more efficient than \(b_2\);

If \(k_2>(1+\frac{m_2}{m_1})k_1\), \(b_1\) is more efficient in \([0,b_0]\); \(b_2\) is more efficient in \([b_0,+\infty )\).

For the smaller natural frequency \(\omega _{n1}\):

If \(k_2>(1+\frac{m_2}{2m_1})k_1\), \(b_1\) is more efficient than \(b_2\);

If \(k_1\le k_2\le (1+\frac{m_2}{2m_1})k_1\), \(b_2\) is more efficient in \([0,b_0]\); \(b_1\) is more efficient in \([b_0,+\infty )\);

If \(k_2<k_1\), \(b_2\) is more efficient than \(b_1\).

Proof

Denote \(b_1=b_2=b\),

$$\begin{aligned} d_1= & {} 2(m_1m_2+m_1b),\\ d_2= & {} 2(m_1m_2+(m_1+m_2)b),\\ d_3= & {} (m_1+m_2)k_1+m_1k_2+k_2b,\\ d_4= & {} (m_1+m_2)k_1+m_1k_2+k_1b,\\ d_5= & {} \sqrt{(bk_2+m_1k_2-(m_1+m_2)k_1)^2+4k_1k_2m_1^2},\\ d_6= & {} \sqrt{(bk_1-m_1k_2+(m_1+m_2)k_1)^2+4k_1k_2m_1^2}, \end{aligned}$$

and

$$\begin{aligned} F_1(b)= & {} \omega _{n1}^2-{\omega ^\prime }^2_{n1}=\frac{d_1d_3-d_2d_4-d_1d_5+d_2d_6}{d_1d_2},\\ F_2(b)= & {} \omega _{n2}^2-{\omega ^\prime }^2_{n2}=\frac{d_1d_3-d_2d_4+d_1d_5-d_2d_6}{d_1d_2}. \end{aligned}$$

Also denote

$$ b_0=\frac{k_1m_2(2m_1k_2-(2m_1+m_2)k_1)}{(k_2-k_1)(m_1k_2-(m_1+m_2)k_1)}. $$

By direct calculation, it can be easily verified that both \(F_1(b)=0\) and \(F_2(b)=0\) have solutions at 0 and \(b_0\). However, note that \(F_1(b)\) and \(F_2(b)\) cannot be zero at the same time if \(b\ne 0\), thus \(F_1(b_0)=0\) and \(F_2(b_0)=0\) cannot hold simultaneously. Particularly, since \(b>0\), one is more interested in the cases that \(k_2\in [k_1,(1+m_2/(2m_1))k_1]\) and \(k_2 \in [(1+m_2/m_2)k_1,\infty )\), where \(b_0\ge 0\).

Next, it is shown that the positive value of \(b_0\) in \(k_2 \in [(1+m_2/m_2)k_1,\infty )\) belongs to \(F_2(b)=0\) and the other one belongs to \(F_1(b)=0\). Denote

$$\begin{aligned} \varDelta _2= & {} m_1k_2-(m_1+m_2)k_1,\\ \varDelta ^2_1= & {} \varDelta _2^2+4k_1k_2m_1^2. \end{aligned}$$

Then

$$\begin{aligned} d_5= & {} \sqrt{bk_2^2+2\varDelta _2k_2b+\varDelta _1^2}=k_2b+\varDelta _2+\frac{2k_1m_1^2}{b}+O\left( {\frac{1}{b^2}}\right) ,\\ d_6= & {} \sqrt{bk_1^2-2\varDelta _2k_1b+\varDelta _1^2}=k_1b-\varDelta _2+\frac{2k_2m_1^2}{b}+O\left( {\frac{1}{b^2}}\right) . \end{aligned}$$

Hence, one has

$$\begin{aligned} F_2(b)= & {} \frac{d_1d_3-d_2d_4+d_1d_5-d_2d_6}{d_1d_2}\\= & {} \frac{\varDelta _2(4b^2+4(m_1+m_2)b+4m_1m_2)}{d_1d_2}- \nonumber \\&\frac{4m_1(m_2k_1-m_1(k_1m_1-k_2(m_1+m_2)))}{d_1d_2}+O\left( {\frac{1}{b}}\right) . \end{aligned}$$

Note that if \(\varDelta _2<0\) and \(k_2>k_1\), or \(k_1<k_2<(1+m_2/m_1)k_1\), \(F_2(b)\) is always negative by omitting the higher order item \(O\left( {\frac{1}{b}}\right) \). This indicates that if \(k_2<(1+m_2/m_1)k_1\), then \(F_2(b)=0\) only has the trivial solution 0, while if \(k_2\ge (1+m_2/m_1)k_1\), then \(F_2(b)=0\) has solutions at 0 and \(b_0\). Consequently, if \(k_2<(1+m_2/m_1)k_1\), then \(F_1(b)=0\) has roots at 0 and \(b_0\), while if \(k_2\ge (1+m_2/m_1)k_1\), then \(F_1(b)=0\) only has a trivial solution 0.

Besides, since

$$\begin{aligned} F_1(b)= & {} \frac{d_1d_3-d_2d_4-d_1d_5+d_2d_6}{d_1d_2},\\= & {} \frac{4m_1(m_1+m_2)(k_1-k_2)b-4m_1(m_1^2(k_1-k_2)-m_2k_1(m_1+m_2))-O\left( \frac{1}{b}\right) }{d_1d_2}, \end{aligned}$$

by the relationship of the coefficients and the roots of \(F_1(b)\) and \(F_2(b)\), one has

If \(k_2>(1+m_2/m_1)k_1\), \(F_1(b)\le 0\) and \(F_2(b)\le 0\) for \(b\in [0, b_0]\), \(F_2(b)>0\) for \(b\in (b_0,\infty )\);

If \((1+m_2/(2m_1))k_1 \le k_2 \le (1+m_2/m_1)k_1\), \(F_1(b)<0\) and \(F_2(b)<0\);

If \(k_1\le k_1 < (1+m_2/(2m_1))k_1\), \(F_1(b)\ge 0\) for \(b\in [0,b_0]\), \(F_1(b)<0\) for \(b\in (b_0,\infty )\), and \(F_2(b)<0\);

If \(k_2<k_1\), \(F_1(b)>0\) and \(F_2(b)<0\).

Thus, Proposition 6 and the four cases shown in Fig. 2.8 have been proved.    \(\square \)

Fig. 2.8
figure 8

The natural frequencies of the TDOF system. a \(k_2>(1+m_2/m_1)k_1\); b \((1+m_2/(2m_1))k_1\le k_2\le (1+m_2/m_1)k_1\); c \(k_1\le k_2 <(1+m_2/(2m_1))k_1\); d \(k_2\le k_1\). The red solid line: \(\omega _{n1}\); the blue dashed line: \(\omega ^\prime _{n1}\); the red dash-dot line: \(\omega _{n2}\); the blue dotted line: \(\omega ^\prime _{n2}\)

Proposition 6 has addressed four cases, which are \(k_2>(1+m_2/m_1)k_1\), \((1+m_2/(2m_1))k_1\le k_2\le (1+m_2/m_1)k_1\), \(k_1\le k_2 <(1+m_2/(2m_1))k_1\), \(k_2\le k_1\). A numerical example is performed with \(m_1=m_2=100\) kg, \(k_1=1000\) N/m and \(k_2\) chosen as 2500, 1800, 1300, 500 N/m corresponding to the four cases in Proposition 6. The results are shown in Fig. 2.8, where one sees that in terms of the larger natural frequency, although for small increment of inertance (about 0–250 kg) \(b_1\) is more efficient than \(b_2\), for large increment of inertance, \(b_2\) tends to be more efficient than \(b_1\).

Note that the above discussion is based on TDOF systems. For a general MDOF system, a similar argument as in Proposition 5 can be employed to determine the efficiency of the position of inerter by comparing the absolute values of the derivatives. For example, consider a six-degree-of-freedom system with \(m_i=100\) kg, \(i=1,\ldots ,6\), and \(k_1=1000\) N/m, \(k_2=1000\) N/m, \(k_3=2000\) N/m, \(k_4=2000\) N/m, \(k_5=3000\) N/m, \(k_6=3000\) N/m. The objective is to find out the most efficient position to insert an inerter so that largest reduction of the largest natural frequency will be achieved. By direct calculation, one obtains \(\left| \frac{\partial \lambda _1}{\partial b_i}\right| \), \(i=1,\ldots ,6\) as \( 2.759\times 10^{-4},~ 0.0134,~ 0.1559,~ 0.8571,~ 1.5999,~ 0.4043, \) respectively. Note that \(\left| \frac{\partial \lambda _1}{\partial b_5}\right| \) possesses the largest value. Hence, the position between \(m_5\) and \(m_6\) would be the most efficient position to insert an inerter, which is consistent with the simulation shown in Fig. 2.9. Another method to find the most efficient position is by using Gershgorin’s Theorem (Horn and Johnson 1988), which shows that the largest absolute row sums is an upper bound of the largest eigenvalue. Hence, an efficient way to reduce the largest natural frequency is to insert the inerter between the mass \(m_j\) and \(m_{j+1}\) or \(m_{j-1}\) and \(m_j\), where the jth absolute row sum of \(\mathbf {M^{-1}K}\) is the largest absolute row sum of \(\mathbf {M^{-1}K}\). Taking the same six-degree-of-freedom system as an example, one obtains

$$ \mathbf {M^{-1}K}=\left[ \begin{array}{cccccc} 10 &{} -10 &{} 0 &{} 0 &{} 0 &{} 0\\ -10 &{} 20 &{} -10 &{} 0 &{} 0 &{} 0\\ 0 &{} -10 &{} 30 &{} -20 &{} 0 &{} 0\\ 0 &{} 0 &{} -20 &{} 40 &{} -20 &{} 0\\ 0 &{} 0 &{} 0 &{} -20 &{} 50 &{} -30\\ 0 &{} 0 &{} 0 &{} 0 &{} -30 &{} 60 \end{array}\right] . $$

The absolute row sums of \(\mathbf {M^{-1}K}\) are 20, 40, 60, 80, 100, and 90. Thus, one concludes that the optimal way is to insert an inerter between \(m_5\) and \(m_6\), which is consistent with the simulation shown in Fig. 2.9 as well.

Fig. 2.9
figure 9

The largest natural frequency of a six-degree-of-freedom system

2.7 Design Procedure and Numerical Example

The problem of reducing the largest natural frequency of a vibration system is considered in this section, where the efficiency of inerter in reducing natural frequencies will be quantitatively shown.

Table 2.1 Structure model parameters
Fig. 2.10
figure 10

Procedures. a first step; b second step: \(b_4=5000\) kg; c third step: \(b_4=5000\) kg, \(b_2=5000\) kg; d fourth step: \(b_4=5000\) kg, \(b_2=5000\) kg, \(b_5=5000\) kg; e fifth step: \(b_4=5000\) kg, \(b_2=5000\) kg, \(b_5=5000\) kg, \(b_3=3000\); f sixth step: \(b_4=5000\) kg, \(b_2=5000\) kg, \(b_5=5000\) kg, \(b_3=3000\), \(b_1=1000\) kg

For the largest natural frequency, considering (2.8) and (2.9), one obtains

$$ \frac{\partial \varPhi _{ij}}{\partial b_i}\le 0,~\text {and}~ \frac{\partial ^2 \lambda _j}{\partial b_i^2}\ge 0. $$

Note that \(\varPhi _{ij}\ge 0\) and the equality is achieved with \(\varvec{\varphi _j^{(i)}}=\varvec{\varphi _j^{(i+1)}}\) when \(i\ne n\), or \(\varvec{\varphi _j^{(n)}}=0\) when \(i=n\), which means that for a specific inerter \(b_i\), \(i=1,\ldots ,n\), the largest natural frequency will always be reduced by increasing the inertance until the two masses connected by inerter \(b_i\) are rigidly connected.

In what follows, an intuitive and simple approach to lowering the largest natural frequency for a given structure is illustrated by inserting the inerters one by one, where the inerter in each step is placed at the most efficient position. Here, a procedure is presented to reduce the largest natural frequency of a structure discussed in Kelly et al. (1987), Ramallo et al. (2002) with parameters given in Table 2.1. Note that the largest natural frequency \(\omega _{\max }\) of this structure is 133.91 rad/s. The procedure to reduce \(\omega _{\max }\) is shown in Fig. 2.10 and Table 2.2.

Table 2.2 Procedures and results

Procedure description:

 

Step 1:

Figure 2.10a shows that \(b_4\) is the most efficient regarding the original system and for \(b_4>5000\) kg, \(\omega _{\max }\) decreases slightly, and hence \(b_4=5000\) kg is selected;

Step 2:

Figure 2.10b shows that \(b_2\) is the most efficient regarding the original system and \(b_4\) and \(b_2>5000\) kg, \(\omega _{\max }\) decreases slightly, and hence \(b_2=5000\) kg is selected;

Step 3–Step 6:

Similarly, from Fig. 2.10c to f, \(b_5=5000\) kg, \(b_3=3000\) kg, \(b_1=1000\) kg, and \(b_6=1\times 10^5\) kg are selected, respectively.

 

Note that the above-illustrated approach is not optimal as the natural frequencies of a system can always be reduced by enlarging the inertance until the inertial matrix \(\mathbf {M}\) became singular, where all the natural frequencies become zero. However, the efficiency of inerter in reducing natural frequencies can be clearly demonstrated by this approach. As shown in Table 2.2, attenuation about \(47.05\%\) has been obtained. It is worth pointing out that the required inertance for \(b_6\) is \(1\times 10^5\) kg, which is quite large. However, the reduction of largest natural frequency is only improved by \(0.03\%\). If the cost factor is considered in practice, \(b_6\) can be omitted. In this way, only five inerters are employed.

2.8 Conclusions

This chapter has investigated the influence of inerter on the natural frequencies of vibration systems. By algebraically deriving the natural frequencies of an SDOF system and a TDOF system, the fact that inerter can reduce the natural frequencies of these systems has been clearly demonstrated. To reveal the influence of inerter on the natural frequencies of a general system, an MDOF system has been considered. Sensitivity analysis has been performed on the natural frequencies and mode shapes to demonstrate that any increment of the inertance of any inerter in an MDOF system results in the reduction of the natural frequencies. To that end, the effectiveness of inerter in reducing natural frequencies of a general vibration system has been clearly demonstrated. Finally, the influence of the inerter position has been investigated and a simple design procedure has been proposed to verify the efficiency of inerter in reducing the largest natural frequencies of vibration systems. The simulation result has shown that more than \(47\%\) reduction can be obtained with only five inerters employed in a six-degree-of-freedom vibration system.