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ERROR # 4003: Abnormal termination in NLGEOM subcases

User: "Altair Forum User"
Altair Employee
Updated by Altair Forum User

Hello, 

 

I am trying to run a topology optimization study on a model with non-linear geometry (large displacements). I am applying my loads by imposing a force via NLOAD1 Card Image. However, whenever I run the study, I receive the following error:

 

ERROR # 4003: Abnormal termination in NLGEOM subcases.

 

I have no idea what this error indicates, and I can not seem to find any other online resources to help me troubleshoot. 

 

The check screen output is shown below:

image.png.b2c13741e90a90917af8ad872bf4a44a.png

 

Additionally, here is my NLOAD1 definition:

image.png.472a2bb32e1acc5d5d6185e36c822e1e.png

 

And here is my Non-Linear subcase definition:

image.png.e3a2f07dd492430d04e0a6879677743f.png

 

Please let me know if you can help me identify the source of this error.

 

 

Thanks in advance!

 

Branden

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    User: "tinh"
    Altair Community Member
    Updated by tinh

    Could you share your *.fem file?

    User: "Altair Forum User"
    Altair Employee
    OP
    Updated by Altair Forum User

    Could you share your *.fem file?

     

    Please see the attached file here.

    Unable to find an attachment - read this blog

    User: "tinh"
    Altair Community Member
    Updated by tinh

    Hi,

    I saw you have a DTPL with stress limit, and a constraint-response that constraints stress.

    please remove this constraint+response

    I don't have v2017 but try to remove it by a text editor.

    User: "Altair Forum User"
    Altair Employee
    OP
    Updated by Altair Forum User

    Hi @Branden Little

     

    Looks like the model is under constrained. Did you run linear static analysis just to confirm stability?

    <?xml version="1.0" encoding="UTF-8"?>312.PNG

     

    I would suggest to use RADIOSS for modelling and optimization instead of OptiStruct for modelling and optimization. RADIOSS will be used for solving and OptiStruct in the background will be used for optimization.