[scilab-Users] Re: Function fit_data with several curves dependent on parameters

[Carrico, Paul]

In french (that's my native language as well) we speak about "vitesse de déformation" !!!!!

To fit the different parameters, it's typically an optimization process => in my opinion you've to:
- simulate exactly the tests at different strain rates,
- calculate the SSE (Sum square of errors = erreurs au sens des moindres carrés) between the test curves and the FEA ones
- ask Scilab to minimize the SSE using simplex methods (see fminsearch for unbounded parameters or Nelder-Mead for bounded ones) /  a gradient method (see optim) / genetic algorithms / Etc. ...


Nota : a loop = a set of FEAs (1 FEA per curve)

Paul

PS : what kind of tests did you perform ? 



-----Message d'origine-----
De : Orbeman [mailto:ludo.wag at laposte.net] 
Envoyé : mardi 7 juin 2011 15:41
À : users at lists.scilab.org
Objet : [scilab-Users] Re: Function fit_data with several curves dependent on parameters

Ok, you're right but a use the word speed to be more genral. In my native
language (french), it is understable to use the word speed for the strain
rate.

I've also curves with various strain rate during the increase of strain.

I hope also to simulate the law with Abaqus in the future. But first I've to
identify optimized parameters.

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