References

• 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
• 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
• 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
• 2015A new learning function for Kriging and its applications to solve reliability problems in engineering400 cited
• 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
• 2008Sequential Experiment Design for Contour Estimation From Complex Computer Codes264 cited
• 2008Unified Uncertainty Analysis by the First Order Reliability Method249 cited
• 2021Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis242 cited
• 2019Surrogate model uncertainty quantification for reliability-based design optimization126 cited
• 2020A novel learning function based on Kriging for reliability analysis121 cited
• 2015A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis114 cited
• 2014Probability and convex set hybrid reliability analysis based on active learning Kriging model111 cited
• 2024Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy