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[1].
We are therefore happy to launch our new pilot online service www.sobolindices.com to provide an easy[2] 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[3], 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.