An Improved Method of Global Reliability Analysis

doi:10.12068/j.issn.1005-3026.2020.07.006

Abstract

Abstract: In the efficient global reliability analysis(EGRA) method based on the Kriging model， only one sample point can be added in each iteration. In order to improve the efficiency of EGRA， an improved method of global reliability analysis based on the multi-agent model was proposed. By importing the prediction errors of the Kriging model， the expected feasibility function(EFF) of the multi-agent model was calculated to obtain multiple sample points in each iteration， then these points were added to the design of experiment(DoE) at the same time and all the agents were updated until the given precision was satisfied. After a high-quality model of the implicit limit state function was established， the Monte Carlo method was employed to perform the reliability analysis. The results of two relevant numerical examples verify the high efficiency and accuracy of the proposed method.

Key words: reliability analysis, expected feasibility function, multi-agent model, uncertainty estimation, Kriging model

CLC Number:

TP319

LIU Bo-lin， XIE Li-yang. An Improved Method of Global Reliability Analysis[J]. Journal of Northeastern University Natural Science, 2020, 41(7): 943-948.

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