The article discusses a method called Latin Hypercube sampling combined with Kriging surrogate models to assess the reliability of structures. This method helps predict how likely a structure is to meet safety standards by considering uncertainties in loads, materials, and environmental conditions. By using Latin Hypercube sampling, the researchers were able to efficiently gather data for accurate predictions. The approach maintains a good level of accuracy in estimating the behavior of structural elements or mathematical functions.