1 Introduction  
2 A short overview of recent literature  
2.1 Common rationale  
2.2 Surrogate models in structural reliability  
2.3 Reliability estimation algorithm  
2.4 Enrichment of the experimental design  
2.5 Stopping criterion  
3 A generalized active learning reliability framework  
3.1 Motivation  
4 Comparative study  
4.1 Benchmark set-up  
4.2 Algorithmic settings  
4.3 Criteria for the evaluation of the strategies  
4.4 Methods ranking over different problems  
4.5 Aggregation of the results with respect to the problem features  
4.6 Results with strategies aggregated over different problems  
4.7 Investigation of the most difficult problems  
5 Research questions and recommendations  
6 Conclusions