Plotting normal modes in Matlab from data in Patran

[Yanek]

Hi,

Could You help me with problem mentioned in the topic? I copied translational data (3 column vectors) from modal analysis in Patran (from f06 file). Now I have problem in reproducing the results in Matlab. I am trying to draw normal modes in Matlab, but I haven't got much luck so far.

I would appreciate if you could help me and/or give me some ideas concerning this problem.

All best regards,
Yan

Edit:
As far I accomplished something like that

I created mesh in Matlab with the same xy dimensions as the analyzed object in Abaqus and copied amplitudes vector , then reshaped it to size compatible with mesh. But the results... don't look good

Edit2:
Another update. Link to data I used http://pastebin.com/mLCHKn6R (second column - don't know what to do with rest).
Code I used in Matlab:
(s is data imported from aforementioned .txt file)

z=s(:,2);zz=reshape(z,11,13);
x= 0:10:120;y=0:10:100;[X,Y]=meshgrid(x,y);
y1=(0:1:100);x1=(0:1:120);
y1=y1';
zz2=interp2(X,Y,zz,x1,y1,'cubic');
[xx1,yy1]=meshgrid(x1,y1);
surf(xx1,yy1,zz2)

Result obtained after cubic interpolation:

Although the plot looks way better than before, the shape is complety different.
Could You help me find out what I am doing wrong?

 

[mmwave]

Hello Yan,

Thank you for reaching out with your question. It seems like you are having trouble reproducing the normal mode results from Patran in Matlab. Here are a few suggestions that may help you with your problem:

1. Make sure you are using the correct data from the f06 file. Sometimes, there can be multiple sets of translational data in the file, so make sure you are using the correct one for your analysis.

2. Double check the units of the data you are using. It is important to make sure that the units are consistent throughout your analysis, otherwise your results may not be accurate.

3. It looks like you are using cubic interpolation in your code. Have you tried using other interpolation methods, such as linear or nearest neighbor? Different interpolation methods may give you different results, so it's worth experimenting with them.

4. It may also be helpful to visualize your data in a different way, such as plotting it as a contour or using a different type of 3D plot. This can give you a better understanding of the data and help you identify any potential errors.

I hope these suggestions help you with your problem. If you continue to have trouble, please feel free to provide more information or data so I can assist you further. Best of luck with your analysis!