A comparative study on combined high and low cycle fatigue life prediction model considering loading interaction

Fatigue life estimation of aero-engine turbine components under combined high and low cycle fatigue (CCF) is of significance for guaranteeing the structural reliability during operation. According to the investigations on damage evolution process, a nonlinear damage accumulation method is proposed for life prediction under CCF loadings, and the interaction effect between high cycle fatigue (HCF) and low cycle fatigue (LCF) is considered by integrating the interaction factor and stress ratio of CCF. Furthermore, experimental results of alloys and turbine blades are utilized to validate the proposed method and conduct a comparative analysis among Miner’s rule and other two typical nonlinear cumulative damage methods under combined loading conditions. Comparative results demonstrate that the developed model holds better prediction robustness and accuracy than those of others.

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Publication Details

Journal
International Journal of Damage Mechanics
Published
2024-11-20
DOI
https://doi.org/10.1177/10567895241292747
Citations
4
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
1.08

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article

A comparative study on combined high and low cycle fatigue life prediction model considering loading interaction

Peng Yue, Pengxiang Liu, Changyu Zhou, Xiao Zhang et al.
4 citations
International Journal of Damage Mechanics
Fatigue and fracture mechanics
1.08
article

A comparative study on combined high and low cycle fatigue life prediction model considering loading interaction

Peng Yue, Pengxiang Liu, Changyu Zhou, Xiao Zhang, Junfu Zhang, Xinfa Du
article en
4 citations

Abstract

Fatigue life estimation of aero-engine turbine components under combined high and low cycle fatigue (CCF) is of significance for guaranteeing the structural reliability during operation. According to the investigations on damage evolution process, a nonlinear damage accumulation method is proposed for life prediction under CCF loadings, and the interaction effect between high cycle fatigue (HCF) and low cycle fatigue (LCF) is considered by integrating the interaction factor and stress ratio of CCF. Furthermore, experimental results of alloys and turbine blades are utilized to validate the proposed method and conduct a comparative analysis among Miner’s rule and other two typical nonlinear cumulative damage methods under combined loading conditions. Comparative results demonstrate that the developed model holds better prediction robustness and accuracy than those of others.

International Journal of Damage MechanicsVol. 34(8)
Xihua University (CN), Nanjing Tech University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province
Responsible consumption and production
Openalex Percentile: Top 26%
Fatigue and fracture mechanics
1.08
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