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

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.

Citation

Zhang, H., Song, L.-K., Bai, G.-C. and Li, X.-Q. (2023), "Fatigue reliability framework using enhanced active Kriging-based hierarchical collaborative strategy", International Journal of Structural Integrity, Vol. 14 No. 2, pp. 267-292. https://doi.org/10.1108/IJSI-09-2022-0116