... of input variables, and an adaptive scaling strategy is proposed to improve the accuracy in finding the active subspace. The uncertainty propagation of active variables and model response is performed through the artificial neural network. Then the global sensitivity analysis is carried out. Findings...

... Limited 2016 Bayesian inference Uncertainty propagation Constitutive modeling Model-form error Newton-Raphson In developing a numerical model, η, to mimic the process ζ(x) within the domain of applicability, two essential and intertwined aspects of the model must...