Towards application of uncertainty quantification procedure combined with experimental procedure for assessment of the accuracy of the DEM approach dedicated for granular flow modeling

There is a high demand for accurate and fast numerical models dense granular flows found in many industrial applications. Nevertheless, before model can be used its need to always validated against experimental data. During the validation, it important consider how measurement data sets, as well models, are affected by errors uncertainties. In this study, uncertainty quantification Discrete Element Method (DEM) was performed based on selected quantities of interest (QOI), which were measured at test rig. The with open-source Dakota code, Latin hypercube sampling technique determine points. Various correlations between input output investigated assess impact possible values determined solver. results from novel in-house character work developed procedure study uncertainties related delivered DEM model. In-house algorithm written using OpenCV libraries determining particle motion characteristics image dataset determination postprocessing.