Hello.

First of all, I would like to thank your team for developing the excellent UQLab framework.

I’m developing a model in which I intend to optimize a component whose cost function is defined by the product between its thickness and the cost of the material. So, these two parameters are the design variables of the model and need to be optimized, similar to the column compression example from the user manual for RBDO.

However, the cost of the material is defined by a weighted value and can only take on 6 different values (1, 2, 4, 8, 10, 12). Consulting old topics, I discovered that UQLab doesn’t support discrete statistical distributions in its current version, and to define discrete environmental variables for the RBDO in previous projects I used a continuous uniform distribution and transformed these values into posterior discrete ones creating a conditional loop.

However, since I’m working with a discrete design variable in this case, I believe this method would not be possible. Therefore, I would like to know if you have any suggestions on how I can accomplish this optimization.

Thanks for your attention,

Eduardo.