An active learning method combining Kriging and Subset Simulation (AK–SS) is proposed.
AK–SS takes advantages of Subset Simulation and the Kriging metamodel.
The proposed method is applied to several benchmark functions and a tunnel lining structure.
AK–SS is shown to be more efficient than the other methods in the literature.
AK–SS can deal with small probability problems with time-consuming function evaluations.