THE MODEL VALIDATION AND EVALUATION ON THE SANDIA'S STRUCTURAL DYNAMICS CHALLENGE PROBLEM

The modern model validation considers uncertainty and the modeling error.In order to study modeling and validation criterions in the model validation course,in this paper,the normal distribution and nonparametric kernel density estimate(KDE) are adopted to test the uncertain modeling by an example of the Sandia's structural dynamics challenge problem.At the same time,two validation criterions are adopted for model validation to obtain a better model.It is shown that by combining two validation criterions in the processes of model validation,better results can be expected.