i would like to ask and discuss the methodology i use between studies in Salome Meca and Openturns.
The current procedure i use is the following:
I am creating the study in Aster_Study and define the parameters i want to see in OT environment. I proceed then to define the output with IMPR_TABLE in a numpy array so when i ask it to export the study in OT it can relate between the variables and the numpy array. From what i have seen i can define only one table to querry each time. So all the outputs i want to receive must be located in that table.
Now, once i have the variables and the outputs with some use of python lists i define the different columns and rows for the models definition. I proceed then to define the statistical model in which a design of experiments is done and evaluated.
In this part i want to ask if there is a way, to surpass the connection with that OT has with the YACS module to augment the velocity of the evaluation ?
Once i have the evaluation, i can proceed to define a metamodel and then turn the metamodel into a physical model, if the validation is high enough, which means it can reproduce (predict (?)) the outputs of the study correctly.
Is there a way to save the model outside the environment of OT ?
Under the hypothesis that i have received new outputs from an experiment, is it possible to query the metamodel so i can calibrate the initial parameters on the new information?
Thank you very much!