...) to ascertain the optimal design point. This approach not only guarantees precision but also facilitates the RVM in approximating the limit state surface. When the U learning function, designed for Kriging, is applied to RVM, it results in sample clustering in the design of experiment (DoE). Therefore...

..., an active learning method based on a Kriging model is proposed to estimate the failure probability with high efficiency and accuracy. Design/methodology/approach To effectively identify informative samples for the enrichment of the design of experiments, a set of new learning functions is proposed...