Cited by

• 2022An adaptive parallel learning dependent Kriging model for small failure probability problems52 cited
• 2019Augmented line sampling for approximation of failure probability function in reliability-based analysis50 cited
• 2021An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load49 cited
• 2015An adaptive reliability method combining relevance vector machine and importance sampling38 cited
• 2023Generative adversarial surrogate modeling framework for aerospace engineering structural system reliability design35 cited
• 2021Efficient imprecise reliability analysis using the Augmented Space Integral34 cited
• 2021Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space32 cited
• 2018Estimation of low failure probability based on active learning Kriging model with a concentric ring approaching strategy31 cited
• 2020A novel kriging based active learning method for structural reliability analysis28 cited
• 2023Efficient decoupling approach for reliability-based optimization based on augmented Line Sampling and combination algorithm25 cited
• 2019Sensitivity analysis for probabilistic anti-resonance design of aeronautical hydraulic pipelines21 cited
• 2024AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities19 cited
• 2020Global reliability sensitivity analysis based on state dependent parameter method and efficient sampling techniques19 cited
• 2023An eccentric radial-based importance sampling method for reliability analysis17 cited
• 2022AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm15 cited
• 2023Stochastic collocation enhanced line sampling method for reliability analysis14 cited