Global sensitivity analysis based on distance correlation for structural systems with multivariate output
Abstract
Models with multivariate output are often used in practical structural systems. Multivariate global sensitivity analysis (GSA) plays an important role in quantifying the contribution of uncertainty in the model input to the output, which is quite useful for simplifying the models and improving the model performance. Many traditional global sensitivity indices can be considered as dependence measures of model input and output. However, these...
Paper Details
Title
Global sensitivity analysis based on distance correlation for structural systems with multivariate output
Published Date
Jul 1, 2018
Journal
Volume
167
Pages
74 - 83
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