CQ2RS: a new statistical approach to the response surface method for reliability analysis

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Non-Gradient–Based Algorithm for Structural Reliability Analysis (2014, background): “Example 16 This is an example byGayton et al. (2003) where overall buckling of a ring-stiffened cylinder structure under external hydrostatic pressure is concerned.”
Adaptive response surface method based on a double weighted regression technique (2009, methodology): “Gayton [18] proposed a RSM named CQ2RS (Complete Quadratic Response Surface with ReSampling) which allows the knowledge of the engineer to be taken into account.”
An improved response surface method for the determination of failure probability and importance measures (2004, background): “[14], the initial experimental point is chosen based on an understanding of the structural behavior.”
LIF: A new Kriging based learning function and its application to structural reliability analysis (2017, methodology): “Besides meta-model formulation, the design of experiments (DoE) also has huge influence on the convergence rate and the accuracy of reliability analysis [12,15,24,29,37,38].”
A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2013, background): “Quadratic Response Surfaces [10] or others, are the most popular though they are limited to local interpolation.”
A new adaptive response surface method for reliability analysis (2013, background): “[22] select the region around the design point from confidence intervals.”