TY  - Type of reference 
TI  - Overview of Structural Reliability Analysis Methods — Part III: Global Reliability Methods 
AU  - ChangWu Huang 
AU  - Abdelkhalak El Hami 
AU  - Bouchaïb Radi 
AB  - In Part III of the overview of structural reliability analysis methods, global reliability methods, which are based on global approximation model of performance function using Gaussian process model, are reviewed. Gaussian process model is the basis for these global reliability methods. This category of methods, firstly, approximates the performance function by Gaussian process model, and then perform sampling methods based on the built surrogate model to calculate
the failure probability. The computational cost is significantly reduced with the aid of surrogate model, since the surrogate model is cheap to evaluate. Additionally, global reliability methods can give accurate results because Gaussian process model can adequately model the nonlinear limit state function. After the introduction of Gaussian process model, two global reliability methods, EGRA and AK-MCS are described and illustrated by an example. 
DO  - 10.21494/ISTE.OP.2017.0117 
JF  - Uncertainties and Reliability of Multiphysical Systems 
KW  - Reliability Analysis,  Monte Carlo simulation,  Gaussian Process Model,  Global Reliability Methods, Reliability Analysis,  Monte Carlo simulation,  Gaussian Process Model,  Global Reliability Methods,  
L1  - https://openscience.fr/IMG/pdf/overview_of_structural_reliability_analysis_methods_-_part_iii_global_reliability_methods.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2017/02/9 
SN  - 2514-569X 
TT  - Overview of Structural Reliability Analysis Methods — Part III : Global Reliability Methods 
UR  - https://openscience.fr/Overview-of-Structural-Reliability-Analysis-Methods-Part-III-Global-Reliability 
IS  - Optimization and Reliability 
VL  - 1 
ER  -