REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis

•The paper presents a reliability-based learning function for adaptive Kriging surrogate models.•The modulating effect of the scatting geometry of random samples is considered.•The use of low-discrepancy samples and truncated sampling regions initiates efficient active-learning results.•Case studies have shown the proposed method has engineering applications.