The investigations described here are related to the unstable behavior of crash-results due to minor changes in the model. As an outcome the received crash-results become in some way unpredictable and the causes can be various, e.g. modeling failure, contact issues, numerical instabilities, physical instabilities, etc.
To identify and separate these scatter sources the results are analyzed by means of visualizing the standard deviation of scatter itself and computing scatter modes for selected parts of interest. These computations are based on the principle component analysis (PCA), a dimension reduction technique. Afterwards, new virtual crash results representing the most extreme values of these modes are computed and help identifying the original reasons which cause the scatter. Then correction can be applied resulting in substantial reduction of the original scatter.