Sensitivity analysis is a very useful tool in virtually any field of engineering and applied sciences.
Performing advanced sensitivity analysis can be quite complex computationally, therefore requiring a large number of model runs and/or specific input parameter exploration strategies. This is in particular true for well established methods like the variance-decomposition-based Sobol’ sensitivity indices.
We are therefore happy to launch our new pilot online service www.sobolindices.com to provide an easy way out to anyone who wants to do sensitivity but without the agonizing pain! The entirely data-driven tool capitalizes on the beautiful synergy between sparse polynomial chaos expansions and Sobol’ indices, and is powered by UQLab.
Head over to www.sobolindices.com and try it out! If you don’t have a test dataset, you can download this one, which corresponds to a 3-dimensional test case with some interesting features (spoiler alert: it’s the Ishigami function!).
Let us know if you like this pilot project and if you would like to see it grow with more functionality in the future.