Frequency response function of periodic-stiffness model of system

In summary: Your Name]In summary, the conversation discusses the analysis of a 3 degree of freedom undamped system with time-dependent stiffness and a periodic forcing function. The individual steps needed to calculate the frequency response function for the system are outlined. The focus is on finding the equations of motion, linearizing them, converting them to the frequency domain, and solving for the transfer function to ultimately obtain the frequency response function.
  • #1
marasciallo
1
0
Hi,
I'm analyzing a 3 dof undamped system with discrete springs and masses. Three of the springs have time-dependent stiffness, following periodic law (with period T), they are modulated at the same frequency but with a phase difference of 120 deg one from the other.
So this is my system:

(M * d^2x/dt^2) + K(t)*x = f(t)

with:
- M diagonal mass matrix (3x3), constant

- x=[x1;x2;x3] displacements vector (3x1)

- f(t)= f0*[sen(w*t);0;0] forcing vector (3x1) acting only on the first dof

- K(t) symmetric stiffness matrix:

> k11= ko + 2*kc/cos(30) + km*(cos(wm*t));
> k22= ko + 2*kc/cos(30) + km*(cos(wm*t + 2*pi/3));
> k33= ko + 2*kc/cos(30) + km*(cos(wm*t + 4*pi/3));

> k(i,k)= -kc/cos(30) for i~=k

wm = modulation frequency
ko, kc = constantsHow can I calculate the frf for this system in order to obtain output amplitude at the second and third dof?
Any help is very appreciated!
Have a nice day.

Paolo
 
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  • #2


Hi Paolo,

Thank you for sharing your system with us. It seems like a complex but interesting problem to analyze. To calculate the frequency response function (FRF) for this system, you will need to follow a few steps:

1. First, you will need to find the equations of motion for your system. This can be done by applying Newton's second law to each mass element, taking into account the time-dependent stiffness of the springs.

2. Next, you will need to linearize your equations of motion by assuming small displacements and using a Taylor series expansion. This will allow you to express your equations in terms of the displacement and velocity of each mass element, and the time-dependent stiffness.

3. Once you have linearized your equations, you can use the Laplace transform to convert them to the frequency domain. This will allow you to express the equations in terms of the complex frequency variable s.

4. With your equations now in the frequency domain, you can solve for the transfer function, which is the ratio of the output amplitude at each degree of freedom to the input amplitude at the first degree of freedom.

5. Finally, you can use the transfer function to calculate the frequency response function for your system. This will give you the output amplitude at each degree of freedom for a given input frequency.

I hope this helps you get started on calculating the FRF for your system. Best of luck with your analysis!
 

1. What is a frequency response function (FRF) of a periodic-stiffness model of a system?

The frequency response function of a periodic-stiffness model is a mathematical representation of the system's response to a periodic input signal at different frequencies. It shows the amplitude and phase of the system's response as a function of frequency.

2. How is the FRF of a periodic-stiffness model calculated?

The FRF of a periodic-stiffness model can be calculated using mathematical models or experimental methods. For mathematical models, the FRF is obtained by solving the equations of motion of the system. For experimental methods, the FRF is measured by applying a known input signal to the system and measuring its response.

3. What is the significance of the FRF in understanding the behavior of a system?

The FRF provides important information about the dynamic behavior of a system. It shows the system's natural frequencies, damping ratios, and resonant peaks, which can help identify potential issues and improve the system's performance.

4. How does the stiffness of a system affect its FRF?

The stiffness of a system directly affects its FRF. A higher stiffness results in a higher natural frequency, while a lower stiffness leads to a lower natural frequency. This can also influence the system's damping characteristics and resonant peaks in the FRF.

5. Can the FRF of a periodic-stiffness model be used to predict the system's response to any input signal?

No, the FRF of a periodic-stiffness model can only accurately predict the system's response to periodic input signals. For non-periodic input signals, other methods such as time-domain analysis may be more suitable.

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