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- W4320492502 abstract "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." @default.
- W4320492502 created "2023-02-14" @default.
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- W4320492502 date "2023-02-06" @default.
- W4320492502 modified "2023-10-16" @default.
- W4320492502 title "Fatigue reliability framework using enhanced active Kriging-based hierarchical collaborative strategy" @default.
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- W4320492502 doi "https://doi.org/10.1108/ijsi-09-2022-0116" @default.
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