An active learning reliability analysis method using adaptive Bayesian compressive sensing and Monte Carlo simulation (ABCS-MCS)-Reference-Cited by-同舟云学术

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An active learning reliability analysis method using adaptive Bayesian compressive sensing and Monte Carlo simulation (ABCS-MCS)

Published:2022-05 Issue: Volume:221 Page:108377
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Li Peiping,Wang Yu^ORCID

Publisher

Elsevier BV

Subject

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

Reference75 articles.

1. Monte Carlo: concepts, algorithms, and applications;Fishman,1996

2. Structural reliability methods;Ditlevsen,1996

3. Structural reliability;Lemaire,2010

4. Assessing small failure probabilities by AK–SS: An active learning method combining kriging and subset simulation;Huang;Struct Saf,2016

5. REAK: reliability analysis through error rate-based adaptive kriging;Wang;Reliab Eng Syst Saf,2019

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