Sensitivity Analysis

I have a computationally costly FE model with 8 inputs (with a dependence structure) and multiple outputs. I am using PCE to build a metamodel for analyzing the forward propagation of uncertainties.

Right now I am using the built-in ANCOVA method to perform the sensitivity analysis and it works well.

I also want to calculate the Kucherenko Indices and my idea is to do the following:

  1. Evaluate the model output using the costly model
  2. Build a PCE-Metamodel
  3. Generate a large number of samples
  4. Use these input-output samples to estimate the Kucherenko indices.

Am I thinking correctly? Is it possible to execute this in UQlab?

Thank you!