The complex mode shape is an amplitude and phase at each response point, for each resonant frequency. In a lightly damped system it may be acceptable to merely use the imaginary component of each FRF at the resonant frequency. That's not very good practice in general but it does work on simple systems.

Otherwise refer to this

http://ziaeirad.iut.ac.ir/sites/ziaeirad.iut.ac.ir...

Cheers

Greg Locock


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But i was wondering if there is any good document that explains step by step what you need to take to reconstruct the mode shapes. Because in many sites its explained in a way that does not give insight of how you should program it in something like MATLAB and i dont really know what to do in this step.

It is only possible it reconconstruct the mode shapes under rather severe constraints: linearity, minimum phase response, and more pactically, only for rather simple systems in which you do not have closely spaced moding (degenerate modes). You'll have to grab your texts and get to work, there are no easy answers in 240 characters or less so to say...

Okey so i managed to get some achievements on this. I extract the modal parameter, which is the product of 2 elements of the modal matrix, and knowing whats my driving point i manage to reescalate all the other mode shapes elements. The problem im having now is that, for viscous damping, these modes should be complex, but doing this process with the FRF modulus i only get a modulus (as expected). I do not know where should i look to add the phase to these mode shapes and get the complex mode shapes for viscous damping.

Thank you in advance.

The damping of each mode is a global property of the mode. You can estimate it by looking at one of your FRFs that shows the peak clearly, and use the half power method, or you can attempt to synthesise an FRF using assumed damping (say 2% for a steel structure) and then adjust the damping of each mode to get a good fit.

Cheers

Greg Locock


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Thank you for the reply Greg, but i have already done that step. I have natural frequencies, modal constant and damping of each mode. I plot the reconstructed FRF and matches very well from the ones i measured. My problem is obtaining the complex modes after having this done.

Ah, ok, instead of the imaginary value for each response point in the mode shape , you need a complex number (or a magnitude and phase). If I can loop back to circle fitting, you need the angle between the inferred point at the resonant frequency, and the x axis, as this rather unfortunate example shows.

Cheers

Greg Locock


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Okey, so let's see if i got the idea. What i understand that i have to do by seeing the circle fitting, is to get the values of the FRF (both real and imaginary part) for the natural frequencies, and for each one the phase of the mode shape is the tangent arc of the imag(FRF)/real(FRF). Is that the idea behind the circle fitting?

Coulsd you post an FRF as a data file? thanks

Cheers

Greg Locock


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Here goes 21 FRF corresponding to 21 points of measurement (driving point is the first column).

• http://files.engineering.com/getfile.aspx?folder=47b96280-1533-44b6-9452-2c

And if you need it here is the frequency vector for this particular case.

• http://files.engineering.com/getfile.aspx?folder=7f868c5c-1a32-4ce7-b154-29

Thanks for that, I'll have a noodle around

Cheers

Greg Locock


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Here's the 5th response between 1540 and 1570 Hz

O is the origin, C is the centre of the fit, and F may be the resonant frequency



For a modal amplitude you take the radius, abs(CF), and the phase is the angle between CF and the x axis

BUT

If you were to use a peak pick method your amplitude would be abs(OF) and phase would be the angle between OF and the x axis

So long as you use the same method for the driving point and all the others, the factor of 2(roughly) in amplitude will all come out in the wash when you come to resynthesise your FRFs.

Cheers

Greg Locock


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Thanks a lot for the reply, now i see clearly what you meant.

Could you link me the file of that circle fit Greg? I went with a least square approach to reconstruct the FRF (with success, getting all 4 peaks i selected very well, just missing the complex mode shapes) and i would like to learn about that other method for modal analysis, since i am fairly new to this process.

I used CircleFitByPratt from the Matlab exchange and

close all
clear
load H.mat
load f.mat
ufl=length(f);

freq=f;
df=max(freq)/length(freq);
for i=1:21

subplot(4,1,2)
plot(freq(1:ufl),phase(H0(1:ufl,i)))
grid on
hold on
subplot(2,1,2)
plot(freq(1:ufl),log(abs(H0(1:ufl,i))))
hold on
grid on

end
lof=floor(1540/df);
hif=floor(1570/df);
resfreqguess=floor(1550/df)-lof;
for chan=1:21
figure
XY=[real(H0(lof:hif,chan)) imag(H0(lof:hif,chan))];
plot(XY(:,1),XY(:,2),'o')
hold on

Par=CircleFitByPratt(XY);
a=Par(1);
b=Par(2);
R=Par(3);

%Par = [a b R] is the fitting circle:
for i=1:361
fitxy(i,1)=cos(i/360*2*pi)*R+a;
fitxy(i,2)=sin(i/360*2*pi)*R+b;
end
plot(fitxy(:,1),fitxy(:,2),'r')

plot([a,0,XY(resfreqguess,1),a],[b,0,XY(resfreqguess,2),b],'k')
grid on
text(0,0,'O')
text(a,b,'C')
text(XY(resfreqguess,1),XY(resfreqguess,2),'F')

end

Cheers

Greg Locock


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