Cited by

• 2017A robust approximation method for nonlinear cases of structural reliability analysis45 cited
• 2018An efficient epistemic uncertainty analysis method using evidence theory43 cited
• 2019A combined Importance Sampling and active learning Kriging reliability method for small failure probability with random and correlated interval variables43 cited
• 2018An improved two-stage framework of evidence-based design optimization41 cited
• 2017A probabilistic feasible region approach for reliability-based design optimization39 cited
• 2017Structural reliability analysis under evidence theory using the active learning kriging model36 cited
• 2018Improvement in first-order reliability method using an adaptive chaos control factor34 cited
• 2018Estimation of low failure probability based on active learning Kriging model with a concentric ring approaching strategy31 cited
• 2019Bounds approximation of limit‐state surface based on active learning Kriging model with truncated candidate region for random‐interval hybrid reliability analysis27 cited
• 2021An effective Kriging-based approximation for structural reliability analysis with random and interval variables27 cited
• 2017Hybrid reliability analysis with uncertain statistical variables, sparse variables and interval variables25 cited
• 2024An Efficient System Reliability Analysis Method Based on Evidence Theory With Parameter Correlations24 cited
• 2018A new effective approach for computation of reliability index in nonlinear problems of reliability analysis23 cited
• 2023Hybrid reliability analysis with incomplete interval data based on adaptive Kriging23 cited
• 2019Reliability-Based Design Optimization of Complex Problems With Multiple Design Points via Narrowed Search Region23 cited
• 2017A novel evidence theory model dealing with correlated variables and the corresponding structural reliability analysis method20 cited