Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A new active-learning estimation method for the failure probability of structural reliability based on Kriging model and simple penalty function

16 references·8 citing·29 second hop

FromToDepth

this work references cited by second hop

References

2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
1990A fast and efficient response surface approach for structural reliability problems1,198 cited
2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
2016Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation412 cited
2015A new learning function for Kriging and its applications to solve reliability problems in engineering400 cited
2021Machine learning-based methods in structural reliability analysis: A review370 cited
2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
2003Comparison of response surface and neural network with other methods for structural reliability analysis284 cited
2022Active learning for structural reliability: Survey, general framework and benchmark

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

282 cited

2004Structural reliability analysis for implicit performance functions using artificial neural network279 cited

2014An active learning kriging model for hybrid reliability analysis with both random and interval variables213 cited

2012Meta-models for Structural Reliability and Uncertainty Quantification181 cited

Cited by

2025Adaptive Kriging-assisted multi-fidelity subset simulation for reliability analysis24 cited
2023Look-ahead active learning reliability analysis based on stepwise margin reduction23 cited
2024Quantified active learning Kriging model for structural reliability analysis21 cited
2024AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities19 cited
2024Surrogate model uncertainty quantification for active learning reliability analysis17 cited
2025AEK-MFIS: An adaptive ensemble of Kriging models based on multi-fidelity simulations and importance sampling for small failure probabilities14 cited
2024A novel active learning Kriging based on improved Metropolis-Hastings and importance sampling for small failure probabilities13 cited
2025A novel active learning reliability analysis method based on ensemble of Kriging models and importance sampling for small failure probabilities9 cited