Equation of motion of spring mass on an incline surface.
Equation of motion of pendulum attached to spring.
Solving 2nd order ODE’s.
Equation of motion of mass attached to 2 pulley’s.
3.1.2 Problem 1.6
Taking displacement along the x-direction shown to be from the static equilibrium position, then applying \(\sum F_{x}=m\ddot {x}\) along the
shown \(x\) direction, we obtain
which is the equation of motion. To obtain the natural frequency, we consider free vibration \(\ddot {x}+\frac {k}{m}x=0\), which implies that \(\omega _{n}=\sqrt {\frac {k}{m}}\),
hence we see that the natural frequency is independent of \(g\).
We see that gravity has no effect on the spring mass system, this is because we use \(x\) to be from the static equilibrium
position of the spring.
3.1.3 Problem 1.16
First we need to derive the equation of motion. Considering the following diagram
Using as generalized coordinates \(\theta \), we obtain
Notice that in the calculation of \(U\) above, we assumed that the spring stretches by \(L\sin \theta \) in the horizontal direction only,
which we are allowed to do for small \(\theta \).
The above is nonlinear equation. Linearize around \(\theta =0\) (equilibrium point) using Taylor series, and for small \(\theta \) we obtain \(\sin \theta \approx \theta \)
and \(\cos \theta \approx 1\), hence the above becomes
Comparing the above to the natural frequency of pendulum with no spring attached which is \(\omega _{n}\)=\(\sqrt {\frac {g}{L}}\), we can see
the effect of adding a spring on the natural frequency: The more stiff the spring is, in other words,
the larger \(k\) is, the larger \(\omega _{n}\) will become, and the smaller the period of oscillation will be. We conclude
that a pendulum with a spring attached to it will always oscillate with a period which is smaller than
the same pendulum without the spring attached. This makes sense as a mass with spring alone has
\(\omega _{n}=\sqrt {\frac {k}{m}}\)
3.1.4 Problem 1.32
We need to solve \(\ddot {x}+2\dot {x}+2x=0\) for \(x_{0}=0mm\) and \(v_{0}=1mm/s\)
The characteristic equation is \(\lambda ^{2}+2\lambda +2=0\) which has roots \(\lambda _{1,2}=\frac {-b\pm \sqrt {b^{2}-4ac}}{2a}=\frac {-2\pm \sqrt {4-8}}{2}=-1\pm j\)
Hence the solution is
\[ x_{h}=e^{-t}\left ( A\cos t+B\sin t\right ) \]
is the general solution. Now we use I.C. to find \(A,B\). When \(t=0\)
\[ 0=A \]
Hence \(x_{h}=Be^{-t}\sin t\), and \(\dot {x}_{h}=Be^{-t}\cos t-Be^{-t}\sin t\) and at \(t=0\), we obtain \(0.01=B\)
Then
\[ x_{h}=0.01e^{-t}\sin t \]
This is a plot of the solution for \(t\) up to 50 seconds
3.1.5 Problem 1.43
We need to solve \(\ddot {x}-\dot {x}+x=0\) for \(x_{0}=1\) and \(v_{0}=0\)
The characteristic equation is \(\lambda ^{2}-\lambda +1=0\) which has roots \(\lambda _{1,2}=\frac {-b\pm \sqrt {b^{2}-4ac}}{2a}=\frac {1\pm \sqrt {1-4}}{2}=\frac {1}{2}\pm j\frac {\sqrt {3}}{2}\)
To discuss stability, we need to determine the location of the roots of the characteristic equation of the homogeneous
EQM, hence from equation (1), we see that
\[ \ddot {\theta }+\omega _{n}^{2}\theta =0 \]
And assuming solution \(\theta \left ( t\right ) =e^{\lambda t}\) leads to the characteristic equation
Since roots of the characteristic equation on the imaginary axis, this is a marginally stable system regardless of the
values of \(m,l,k\).
Since we are looking at the linearized system, there is only one equilibrium point, and the system is either stable or
not. Here we found it is marginally stable. The effect of changing \(k,l,m\,\ \)is to change the period of oscillation around the
equilibrium point.