TY  - Type of reference 
TI  - Overview of Structural Reliability Analysis Methods — Part II : Sampling Methods 
AU  - Abdelkhalak El Hami 
AU  - Bouchaïb Radi 
AU  - ChangWu Huang 
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  - http://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  - http://openscience.fr/Overview-of-Structural-Reliability-Analysis-Methods-Part-II-Sampling-Methods 
IS  - Optimisation et Fiabilité 
VL  - 1 
ER  -