A comparative study on combined high and low cycle fatigue life prediction model considering loading interaction
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Fatigue and fracture mechanics · High Temperature Alloys and Creep · Probabilistic and Robust Engineering Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Power Engineering, Nanjing Technology University, Nanjing, China
School of Mechanical Engineering, Xihua University, Chengdu, China
3T-Max (Hangzhou) Technology Co., Ltd, China
Funding
Natural Science Foundation of Sichuan Province · National Natural Science Foundation of China
References (52)
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