Non-Harmonic Periodic Forcing Functions: Fourier Analysis
To this point we have only considered forcing functions (e.g. sine). These are examples of functions since they repeat themselves after a specific period of time. However, harmonic functions are not the only type of periodic function. There are many others, some typical examples of which are shown in Figure 6.1
It would be useful to be able to determine the response of a single degree of freedom system to these other periodic forcing functions as well. Fortunately much of what we have already studied can be applied.
Whenever we have a periodic forcing function with period it can always be expressed as a Fourier series (a sum of harmonic functions) as
For a given periodic function , the coefficients , and () can be uniquely determined.
With this expansion of the forcing function, the equation of motion for the damped spring-mass system
To find the steady state solution to (6.3) we make use of the principle of superposition to express the total solution as the sum of the individual solutions to each term on the right hand side. That is, the solution is the sum of the solutions to
The steady state solution to (6.4a) is simply
We have previously shown that the steady state solution to
Following the same procedure, it is straightforward to show that the solution to
The steady state solution to equations (6.4b) and (6.4c) are
Therefore the steady state solution to equation (6.3) is given by
where is given by (6.8)
- The amplitude and phase angle for the frequency depends on and are not constants
- The terms with frequency component closest to will have the largest dynamic magnification factor.
- As continues to increase, the amplitude of the terms decreases (due to the dynamic magnification factor). As a result, in practice a reasonably accurate solution can be obtained using only the first few terms in the expansion in equation (6.3).
- If the periodic forcing function is sufficiently complex or is determined experimentally the integrations in equations (6.2b) and (6.2c) may not be available analytically. In these case the Fourier coefficients can be approximated numerically.We can consider the period to be broken into (an even number) of equally spaced time intervals so that .If represent the values of at the times then the Fourier coefficients can be approximated as
Once these coefficients are known, we can proceed as before with replaced by .
- The solutions shown are for the steady state only. If we are interested in the transient solution as well, we must add the solution to
to our solution. The solution to (6.10) for the underdamped case is
in which the two constants and are determined using initial conditions. These constants must be determined using the solution, so the Fourier coefficients need to be determined before and can be evaluated.