Four blocks are connected by three springs in the arrangement as shown above. Each of the blocks can only translate along the X-axis. Enter your answer as the sum of the squares of the natural angular frequencies of oscillation of the given mechanical system.
Note:
The centers of masses of each block lie on the line .
Bonus: Generalise the result for masses and non identical springs. Also, compute the natural frequencies and modes of oscillation of the given system.
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With M = K = 1 , the equations of motion for the four masses assuming their displacements from the original positions of unstretched springs are x 1 , x 2 , x 3 , x 4 are:
x 1 ¨ = x 2 − x 1
x 2 ¨ = − 3 2 ( x 2 − x 1 ) + 3 1 ( x 3 − x 2 )
x 3 ¨ = − 5 1 ( x 3 − x 2 ) + 5 3 ( x 4 − x 3 )
x 4 ¨ = − 3 ( x 4 − x 3 )
Thus if we define the state vector x = [ x 1 , x 2 , x 3 , x 4 , x 1 ˙ , x 2 ˙ , x 3 ˙ , x 4 ˙ ] , then the state equation is
x ˙ = A x
where
A = [ O 4 C I 4 O 4 ]
where O 4 is the 4 × 4 zero matrix, and I 4 is the 4 × 4 identity matrix, and
C = ⎣ ⎢ ⎢ ⎡ − 1 3 2 0 0 1 − 1 5 1 0 0 3 1 5 − 4 3 0 0 5 3 − 3 ⎦ ⎥ ⎥ ⎤
The natural frequencies of this oscillatory system are the magnitudes of the imaginary eigenvalues of the above 8 × 8 matrix.
To compute the eigenvalues, we form the determinant equation ∣ λ I − A ∣ = 0 and find its roots. Now
∣ λ I − A ∣ = ∣ ∣ ∣ ∣ λ I 4 − C − I 4 λ I 4 ∣ ∣ ∣ ∣
Now we need the following theorem that ∣ ∣ ∣ ∣ A 1 A 3 A 2 A 4 ∣ ∣ ∣ ∣ = ∣ A 1 ∣ ∣ A 4 − A 2 A 1 − 1 A 3 ∣
Applying this to our matrix, ∣ λ I − A ∣ = λ 4 ∣ λ I 4 + λ 1 ( − C ) ∣ = ∣ λ 2 I 4 − C ∣
So the eigenvalues are the square roots of the eigenvalues of matrix C . At this point, we can compute the eigenvalues of matrix C using a suitable computer application such as wolframalpha.com , and they turn out to be:
0 , − 3 . 6 4 0 0 7 8 3 2 8 , − 1 . 8 2 9 5 8 2 6 1 2 , − 0 . 3 3 0 3 3 9 0 5 9
So they are all real and negative (except for the first one), which means the eigenvalues of the system will be either 0 or imaginary. Their magnitudes squared are the absolute value of the eigenvalues of C. The sum of these values is the negative of trace of matrix C . This comes to 5 . 8 .