Free Vibration – Undamped

By free vibration, we mean that the system is set into motion by some forces which then cease (at t = 0) and the system is then allowed to vibrate freely for t > 0 with no external forces applied. First we will consider a free undamped multi‐degree of freedom system, i.e. [R] = [0] and f(t) = 0. Therefore, Eq. (2.22) now becomes

(2.23) equation

Similarly to the case of the single‐degree‐of‐freedom system discussed in Section 2.3, we assume harmonic solutions in the form

(2.24) equation

where A is the vector of amplitudes. Substituting Eq. (2.24) into (2.23) yields

(2.25) equation

Equation (2.25) has a nontrivial solution if and only if the coefficient matrix ([K] − ω2[M]) is singular, that is the determinant of this coefficient matrix is zero,

(2.26). equation

Equation (2.26) is called the characteristic equation (or characteristic polynomial) which leads to a polynomial of order n in ω2. The roots of this polynomial, denoted as images (for i = 1, 2, …, n), are called the characteristic values (or eigenvalues). The square root of these numbers, ωi are called the natural frequencies of the undamped multi‐degree of freedom system and they can be arranged in increasing order of magnitude by ω1 ≤ ω2 ≤ … ≤ ωn. The lowest frequency ω1 is referred to as the fundamental frequency. The characteristic equation has only real roots due to the symmetry of the mass and stiffness matrices. In general, all the roots are distinct except in degenerate cases.

Note that images are the eigenvalues of the matrix [M]−1[K], where [M]−1 is the inverse of [M]. Associated with each characteristic value images, there is an n‐dimensional column linearly independent vector called the characteristic vector (or eigenvector) Ai which is referred to as the i‐th natural mode (normal mode, principal mode or mode shape) [10–13]. Ai is obtained from the homogeneous system of equations represented by Eq. (2.27) as

(2.27). equation

Since the system of equations represented by Eq. (2.27) is homogeneous, the mode shape is not unique. However, if images is not a repeated root of the characteristic equation then there is only one linearly independent nontrivial solution of Eq. (2.27). The eigenvector is unique only to an arbitrary multiplicative constant [13]. It can be shown that the mode shapes are orthogonal. This property is important and allows a set of n decoupled differential equations of motion of a multi‐degree of freedom system to be obtained by using a modal transformation [10].

Solving Eq. (2.27) and replacing it into Eq. (2.24), we obtain a set of n linearly independent solutions qi = Ai exp{i t} of Eq. (2.23). Thus, the total solution can be expressed as a linear combination of them,

(2.28) equation

where βi are arbitrary constants which can be determined from initial conditions [usually with initial displacements and velocities q(t = 0) and images]. Equation (2.28) represents the superposition of all modes of vibration of the multi‐degree of freedom system.

EXAMPLE 2.5

It is illustrative to consider an example of a two‐degree‐of‐freedom system, as the one shown in Figure 2.11, because its analysis can easily be extrapolated to systems with many degrees of freedom.

SOLUTION

The two‐coordinates x1 and x2 uniquely define the position of the system illustrated in Figure 2.11 if it is constrained to move in the x‐direction. The equations of motion of the system are:

(2.29a) equation

and

(2.29b) equation

We observe that the equations of motion are coupled, that is to say the motion x1 is influenced by the motion x2 and vice versa. Equation (2.29) can be written in matrix form as

(2.30)equation

where q = imagesimages and images.

Equation (2.26) gives the characteristic equation

(2.31)equation

For simplicity, consider the situation where m1 = m2 = m and k1 = k2 = k. Then, Eq. (2.31) becomes

(2.32)equation

Solving Eq. (2.32) gives the natural frequencies of the system as

(2.33)equation

Note that Eq. (2.32) has four roots, the additional two being −ω1 and −ω2. However, since these negative frequencies have no physical meaning, they can be ignored. For each positive natural frequency there is an associated eigenvector that is obtained from Eq. (2.27). Substitution of Eq. (2.33) into Eq. (2.27) and solving for Ai, yields:

(2.34a) equation

and

(2.34b) equation

where X1 and X2 are the elements of vector Ai. Equations (2.34a) and (2.34b) are homogenous, so that no unique solution is possible. Indeed, a solution with all its components multiplied by the same constant is also a solution [11]. Choosing arbitrarily X1 = 1 and solving Eq. (2.34) we get the eigenvectors

equation

When used to describe the motion of a multi‐degree of freedom system, the mode shape refers to the amplitude ratio. These ratios are possible to obtain because their absolute values are arbitrary [12]. Thus, we express the mode shapes as the ratio of the amplitudes X1/X2. Then, for ω1X1/X2 = 0.618 and for ω2X1/X2 = −1.618. These ratios can be represented in the mode plot of Figure 2.12. We note that when this simple two‐degree of freedom system vibrates at the first (fundamental) natural frequency ω1, the two masses vibrate in phase (Figure 2.12a). When the system vibrates at the second natural frequency ω2, the two masses vibrate out of phase (Figure 2.12b).

Schematic illustration of two-degree-of-freedom system.
Figure 2.11 Two‐degree‐of‐freedom system.
Schematic illustrations of the mode shapes for the two-degree of freedom system (a) first mode, (b) second mode.
Figure 2.12 Mode shapes for the two‐degree of freedom system shown in Figure 2.11; (a) first mode, (b) second mode.

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