Open AccessSpecial Section: Nonprobabilistic and Hybrid Approaches for Uncertainty Quantification and Reliability Analysis
Author(s) -
Matthias G.R. Faes,
David Moens,
Michael Beer,
Hao Zhang,
KokKwang Phoon
Publication year - 2021
Publication title -
asce-asme journal of risk and uncertainty in engineering systems part b mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.35
H-Index - 13
eISSN - 2332-9025
pISSN - 2332-9017
DOI - 10.1115/1.4050256
Subject(s) - context (archaeology) , reliability (semiconductor) , computer science , uncertainty quantification , engineering design process , fidelity , process (computing) , industrial engineering , reliability engineering , data mining , machine learning , engineering , mechanical engineering , paleontology , telecommunications , power (physics) , physics , quantum mechanics , biology , operating system
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