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  1. Amine A

    Design Ansys

    Hi everyone, I imported a geometry which is composed by surfaces objects with x thickness (picture on the left ). I want to add a volume in the bottom of the structure like in the picture on the right. Do you have any ideas please. Thank you...
  2. Amine A

    eigenvalues reactor

    6https://files.engineering.com/getfile.aspx?folder=2d4ff6e4-d3a1-4fdf-bd30-2505b029cf69&file=6.JPG
  3. Amine A

    eigenvalues reactor

    5https://files.engineering.com/getfile.aspx?folder=7e6bcf59-1294-48d6-8d58-29e685e6fef9&file=5.JPG
  4. Amine A

    eigenvalues reactor

    4https://files.engineering.com/getfile.aspx?folder=1063bde5-ddf2-4235-8aa7-442b0bc4512b&file=4.JPG
  5. Amine A

    eigenvalues reactor

    3https://files.engineering.com/getfile.aspx?folder=7344f4dc-b2f9-402c-83b2-167113c489a2&file=3.JPG
  6. Amine A

    eigenvalues reactor

    2https://files.engineering.com/getfile.aspx?folder=43939f10-d696-4fe6-a86b-e66f895d76dc&file=2.JPG
  7. Amine A

    eigenvalues reactor

    hHi, Thanks, I've put a bigger mass for the basemat (and tried a lot of values to see if it can change the result, but I still have the same...). Here you can find some pictures of the first few eigenforms...
  8. Amine A

    eigenvalues reactor

    Hello, I'm doing some tutorials to learn how to simulate a seismic response of a reactor. I modeled at first the reactor and did the static and modal analysis and it gives me as eigenvalues 10Hz , 14Hz, 20Hz,... 68Hz. Then Iwanted to integrate the basemat of superstructure and eigen values...
  9. Amine A

    Data driven calibration model (python)

    Exactly , the output is clearly "w(x)" but I don't if the inputs here should include physical parameters like (P,h,L,...) or just coefficiens (a,b,c..) related to a polynomial function
  10. Amine A

    Data driven calibration model (python)

    what is the problem if I just put (w1(x)+w2(x))/2 as a calibrated model please?? it give results between both models and give the minimal RMSE between both
  11. Amine A

    Data driven calibration model (python)

    I know and that's why I will take it as the reference. I don't know how to fit simulation results to physical model, I don't have any equation for simulation results that's what makes me confused. If I will do a regression, I will consider a polynome that I will fit by determining its...
  12. Amine A

    Data driven calibration model (python)

    if I will do a polynomial regression should I fit the polynomial equation with physics model or simulation results ?
  13. Amine A

    Data driven calibration model (python)

    my first ideas are limited here [cry]
  14. Amine A

    Data driven calibration model (python)

    IRstuff okat thanks I will see :)) GregLocock that's in the second case that the beam width varies with x
  15. Amine A

    Data driven calibration model (python)

    here's the analytical expression of w(x)
  16. Amine A

    Data driven calibration model (python)

    I don't know for the first question if I should consider : w1(x)=w2(x)+epsilon=ax+b+epsilon (if suppose it's linear) ; where w1 is deflection for first model and w2 for the second, and epsilon is the RMSE error. and try to do an algorithm that should minimize the epsilon. And I am still...
  17. Amine A

    Data driven calibration model (python)

    Yes[smile] I am thinking about regression but here I see he is demanding it in the second question [hourglass]
  18. Amine A

    Data driven calibration model (python)

    IRstuff even me am trying to understand this is the problem (figures below) MintJulep thanks for the idea [smile] I will try to see if the "m" and "b" should be a function of parameters given in the problem (shown in figures below)
  19. Amine A

    Data driven calibration model (python)

    I know, they give us directly the data of physical tests (in the figures I showed data 0 are supposed physical tests results) and simulated results (data 1)
  20. Amine A

    Data driven calibration model (python)

    In fact we want to understand more the concept of hybrid twin so we want to apply it to a simple problem. And so logically ,yes, explore how to define a parametric model that can "self tune" against physical test data is the solution for the question I think... I need to have ideas how to proceed !

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