Global sensitivity analysis for model with random inputs characterized by probability-box

Global sensitivity analysis techniques for computational models with precise random inputs have been studied widely in the past few decades. However, in real engineering application, due to the lack of information, the distributions of input variables cannot be specified uniquely, and other models such as probability-box ( p-box) need to be introduced to characterize the uncertainty of model inputs. Based on the classical variance-based indices...