TY - Type of reference TI - Overview of Structural Reliability Analysis Methods — Part II : Sampling Methods AU - ChangWu Huang AU - Abdelkhalak El Hami AU - Bouchaïb Radi AB - In Part II of the overview of structural reliability analysis methods, the category of sampling methods is reviewed. The basic Monte Carlo simulation is the foundation for sampling methods of reliability analysis. Sampling methods can evaluate the failure probability defined by both explicit and implicit performance function. With sufficient number of samples, simulation methods can give accurate results. However, for complex problem the computational cost is expensive. Thus, based on variance reduction techniques, some variants of basic Monte Carlo simulation method are proposed to reduce the computational cost. Monte Carlo simulation and its variants, including importance sampling, adaptive sampling, Latin hypercube sampling, directional simulation, and subset simulation, are presented and summarized in this paper. DO - 10.21494/ISTE.OP.2017.0116 JF - Incertitudes et fiabilité des systèmes multiphysiques KW - Reliability Analysis, Sampling Methods, Monte Carlo simulation, Variance Reduction, Reliability Analysis, Sampling Methods, Monte Carlo simulation, Variance Reduction, L1 - https://openscience.fr/IMG/pdf/overview_of_structural_reliability_analysis_methods_-_part_ii_sampling_methods.pdf LA - fr PB - ISTE OpenScience DA - 2017/02/9 SN - 2514-569X TT - Overview of Structural Reliability Analysis Methods — Part II: Sampling Methods UR - https://openscience.fr/Overview-of-Structural-Reliability-Analysis-Methods-Part-II-Sampling-Methods IS - Optimisation et Fiabilité VL - 1 ER -