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ArticleTime-variant system reliability analysis method for a small failure probability problem

Yan‐Feng Li2020

Article2020

Time-variant system reliability analysis method for a small failure probability problem

Yan‐Feng Li · Hong‐Zhong Huang

87 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Geotechnical Engineering and Analysis

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References

2001Estimation of small failure probabilities in high dimensions by subset simulation 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation 2003The PHI2 method: a way to compute time-variant reliability 2016Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation 2008Analytical derivation of the outcrossing rate in time-variant reliability problems 2016A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis 2017A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis 2013AK-SYS: An adaptation of the AK-MCS method for system reliability

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2022Structural dynamic reliability analysis: review and prospects 2023Structural fatigue reliability analysis based on active learning Kriging model 2021A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis 2021Time and space-variant system reliability analysis through adaptive Kriging and weighted sampling 2022

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Details

Year2020

Typearticle

Published2020-10-03

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations87

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2020.107261

openalex_workW3091340434

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An adaptive parallel learning dependent Kriging model for small failure probability problems

2023Adaptive subset simulation for time-dependent small failure probability incorporating first failure time and single-loop surrogate model

2024A novel active learning Gaussian process modeling-based method for time-dependent reliability analysis considering mixed variables

2021A single-loop reliability analysis strategy for time-dependent problems with small failure probability