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
• 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
• 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
• 1999A new adaptive importance sampling scheme for reliability calculations564 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
• 2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures392 cited
• 2017A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis317 cited
• 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
• 2017An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation