Global Sensitivity Analysis of the Failure Probability Upper Bound to Random and Fuzzy Inputs

Volume: 21, Issue: 2, Pages: 454 - 467
Published: Sep 29, 2018
Abstract
For structure with both random and fuzzy input variables, a global sensitivity analysis (GSA) model is established to quantitatively evaluate the effects of these two kinds of input uncertainties on the upper bound of the fuzzy failure probability. The relationship between failure possibility and fuzzy failure probability upper bound is firstly derived in this paper. Based on this relationship, the single-loop nested sampling method can be...
Paper Details
Title
Global Sensitivity Analysis of the Failure Probability Upper Bound to Random and Fuzzy Inputs
Published Date
Sep 29, 2018
Volume
21
Issue
2
Pages
454 - 467
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.