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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...

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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...

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...

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

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

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...

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

my first ideas are limited here [cry]

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

here's the analytical expression of w(x)

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...

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

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)

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)

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 !