Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation-Reference-Cited by-同舟云学术

Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation

Published:2022-10 Issue: Volume:226 Page:108693
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Dhulipala Somayajulu L.N.^ORCID,Shields Michael D.^ORCID,Chakroborty Promit^ORCID,Jiang Wen^ORCID,Spencer Benjamin W.^ORCID,Hales Jason D.^ORCID,Labouré Vincent M.,Prince Zachary M.,Bolisetti Chandrakanth^ORCID,Che Yifeng^ORCID

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference55 articles.

1. Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant;Kim;Reliab Eng Syst Saf,2022

2. Global sensitivity analysis for nuclear reactor LBLOCA with time-dependent outputs;Xiong;Reliab Eng Syst Saf,2022

3. Dynamic probabilistic risk assessment of nuclear power plants using multi-fidelity simulations;Zheng;Reliab Eng Syst Saf,2022

4. Fragility analysis and probabilistic performance evaluation of nuclear containment structure subjected to internal pressure;Jin;Reliab Eng Syst Saf,2021

5. Formulation of a risk assessment framework capable of analyzing nuclear power multiunit accident scenarios;Cai;Reliab Eng Syst Saf,2020

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