Number of Iterations for Topology Optimization

Altair Forum User
Altair Forum User
Altair Employee
edited October 2020 in Community Q&A

Hello. I've been running a few topology optimizations recently and have noticed that some models will become optimized within 5-8 iterations, while some require 50+.

 

Is there a reason for this? I'm concerned at how it is possible for a model to become fully optimized after sometimes so few iterations.

 

Thanks in advance.

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Answers

  • Altair Forum User
    Altair Forum User
    Altair Employee
    edited August 2015

    Hi,

     

    Please refer to Gradient-based Optimization Method  in OptiStruct users guide.

  • Altair Forum User
    Altair Forum User
    Altair Employee
    edited August 2015
    Altair Forum User said:

    Hi,

     

    Please refer to Gradient-based Optimization Method  in OptiStruct users guide.

     

     Ok, I read that regular convergence occurs when two consecutive iterations see a change in the objective tolerance and constraint violations of less than 1%. I understand that this can occur I as few as 3 iterations but what I'm asking is: is this a typical result of topology optimization in OptiStruct?

  • Altair Forum User
    Altair Forum User
    Altair Employee
    edited August 2015

    Depending on your model, your optimization parameters, and your objective? Yes, 3 iterations could lead to an 'optimal result'. If you're not satisfied with the answer, try changing your constraints around or re-working the boundary conditions for your problem. That would be my 'noob' opinion image/emoticons/default_smile.png' alt=':)' srcset='/emoticons/smile@2x.png 2x' width='20' height='20'>

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