Cited by

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• 2023Fast convergence strategy for adaptive structural reliability analysis based on kriging believer criterion and importance sampling39 cited
• 2022Active learning with multifidelity modeling for efficient rare event simulation39 cited
• 2022Efficient subset simulation for rare-event integrating point-evolution kernel density and adaptive polynomial chaos kriging37 cited
• 2023Portfolio allocation strategy for active learning Kriging-based structural reliability analysis37 cited
• 2023RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events35 cited
• 2023An efficient and versatile Kriging-based active learning method for structural reliability analysis34 cited
• 2022Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation33 cited
• 2024On active learning for Gaussian process-based global sensitivity analysis32 cited
• 2022Small failure probability: principles, progress and perspectives31 cited
• 2020Improved active learning probabilistic approach for the computation of failure probability29 cited
• 2023An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis29 cited
• 2023CSP-free adaptive Kriging surrogate model method for reliability analysis with small failure probability26 cited
• 2023A new active learning method for system reliability analysis with multiple failure modes25 cited
• 2024Quantified active learning Kriging model for structural reliability analysis21 cited