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How can I compute MAAX and KAAX matrix , extracted from Nastran, to obtain the eigenvalues and eigenvector from a not constrained model ?

How can I compute MAAX and KAAX matrix , extracted from Nastran, to obtain the eigenvalues and eigenvector from a not constrained model ?
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  • Thank you a lot. I will work on it.
     
    By another hand. I have to extract the global stiffness and mass matrices from different models (I am using PARAM,EXTOUT,DMIGPCH again). I'm planning to use these matrices to do various mathematical operations on them in Matlab. For that, I did a simple beam example with 4 nodes. When I extracted the MAAX and KAAX matrices in .pch file I could notice that the MAAX matrix has a lower order than KAAX matrix furthermore and the stiffness matrix is always singular.
    I would like to know:
     
    If those steps that I did are correct to obtain the global stiffness and mass matrices (I mean, using PARAM,EXTOUT,DMIGPCH).
     
    Why the mass and stiffness matrices have a different order in the .pch file? (in my example, Kaax is a sym matrix with order 24, and the Maax is a diag matrix with order 16)
     
    Thank you for your help
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  • Thank you a lot. I will work on it.
     
    By another hand. I have to extract the global stiffness and mass matrices from different models (I am using PARAM,EXTOUT,DMIGPCH again). I'm planning to use these matrices to do various mathematical operations on them in Matlab. For that, I did a simple beam example with 4 nodes. When I extracted the MAAX and KAAX matrices in .pch file I could notice that the MAAX matrix has a lower order than KAAX matrix furthermore and the stiffness matrix is always singular.
    I would like to know:
     
    If those steps that I did are correct to obtain the global stiffness and mass matrices (I mean, using PARAM,EXTOUT,DMIGPCH).
     
    Why the mass and stiffness matrices have a different order in the .pch file? (in my example, Kaax is a sym matrix with order 24, and the Maax is a diag matrix with order 16)
     
    Thank you for your help
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