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Topics - Rashad

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Uncertainty Quantification (quoFEM) / "Main" and "Total" of Random Variable

« on: November 22, 2021, 09:56:52 AM »

Dear all,
I'm using sensitivity analysis for Opensees TCL file to study the parameters model. The input and output are shown in the screenshot(1). So, could anyone help me to understand the results in-depth

- what are "Main" and "Total" mean, How QuoFEM tool is Calculating these values and what is the relationship between them?
- How can I know the effect of each parameter and know when the value of the parameter is appropriate - high value needs to be reduced or low value needs to be raised - within the available limits (Min-Max) values in the RV panel?

Thanks

Uncertainty Quantification (quoFEM) / Optimal parameters values

« on: October 15, 2021, 05:10:09 PM »

Hello,
I have chosen values of some parameters in opensees model, and I want to know if my choice is satisfied (values are not low, not high ). I tried using the parameter Estimation method, but quoFEM gives me the same values that I input in the initial point values in ‘RV’. I do not have an experimental and the parameter Estimation method is obtaining the parameters that best fit the experimental results. so could please, guide me on which method can I use for conforming parameters values?

THANKS

Uncertainty Quantification (quoFEM) / Running on quoFEM

« on: September 21, 2021, 10:43:02 AM »

Hello all,
I had downloaded quoFEM (2.3), then I logged in and hit “run” for a selected example in the category. It showed me this "No dakota. err file - dakota did not run- problem with dakota setup or the applications failed with inputs provided". However, in the old version (2.2), it works well. Please, what the problem is ?

Uncertainty Quantification (quoFEM) / Choosing the best parameters using quoFEM

« on: September 14, 2021, 11:50:10 AM »

Hello everyone,
I have used quoFEM to check some of the parameters in my model to know what the best values are. I have got the response after hit "run". could you please guide me, how can I get the best parameters among the samples?

Thanks