System reliability analysis through active learning Kriging model with truncated candidate region-Reference-Cited by-同舟云学术

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System reliability analysis through active learning Kriging model with truncated candidate region

Published:2018-01 Issue: Volume:169 Page:235-241
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Yang Xufeng,Liu Yongshou,Mi Caiying,Tang Chenghu

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Technology Innovation Research Team of Sichuan Province

Publisher

Elsevier BV

Subject

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

Reference31 articles.

1. Efficient surrogate models for reliability analysis of systems with multiple failure modes;Bichon;Reliab Eng Syst Saf,2011

2. Active learning surrogate models for the conception of systems with multiple failure modes;Perrin;Reliab Eng Syst Saf,2016

3. AK-SYS: An adaptation of the AK-MCS method for system reliability;Fauriat;Reliab Eng Syst Saf,2014

4. Adaptive simulation for system reliability analysis of large structures;Mahadevan;Comput Struct,2000

5. A generalized Subset Simulation approach for estimating small failure probabilities of multiple stochastic responses;Li;Comput Struct,2015

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