Fatigue reliability framework using enhanced active Kriging-based hierarchical collaborative strategy

Purpose: The purpose of this study is to improve the computational efficiency and accuracy of fatigue reliability analysis. Design/methodology/approach: By absorbing the advantages of Markov chain and active Kriging model into the hierarchical collaborative strategy, an enhanced active Kriging-based hierarchical collaborative model (DCEAK) is proposed. Findings: The analysis results show that the proposed DCEAK method holds high accuracy and efficiency in dealing with fatigue reliability analysis with high nonlinearity and small failure probability. Research limitations/implications: The effectiveness of the presented method in more complex reliability analysis problems (i.e. noisy problems, high-dimensional issues etc.) should be further validated. Practical implications: The current efforts can provide a feasible way to analyze the reliability performance and identify the sensitive variables in aeroengine mechanisms. Originality/value: To improve the computational efficiency and accuracy of fatigue reliability analysis, an enhanced active DCEAK is proposed and the corresponding fatigue reliability framework is established for the first time.