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<p>In the field of fatigue-life prediction for metallic components, accurately evaluating damage under combined high- and low-cycle fatigue (CCF) loading remains a key challenge. To address this, we propose an improved coupled-damage model. The model introduces a coupling coefficient and a modification index to distinguish the distinct damage mechanisms of low-cycle fatigue (LCF) and high-cycle fatigue (HCF), and it establishes, across different mean stresses, a quantitative relationship between the HCF/LCF life ratio and the CCF stress-amplitude ratio. Experimental validation was conducted on turbine-blade alloys and engineering materials. The resuits show that the proposed model outperforms Miner’s linear accumulation rule and representative models by Ye, Zhu, Trufyakov–Kovalchuk, and Manson–Halford in terms of prediction accuracy and scatter control, most predicted fatigue lives fall within the ± 1.5× life scatter band, with small, tightly centered errors. The approach offers clear physical interpretability and strong engineering applicability, providing a reliable basis for fatigue design and life assessment of critical components under complex loading conditions.</p>

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Study on a fatigue life prediction model based on an Improved high-low cycle coupled damage mechanism

  • 期刊论文

  • 发表日期：

    2026年3月10日

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  • Xinyu Ge,
  • Chao Zhang,
  • Haoyang Lv,
  • Ximing Zhang,
  • Wenyang Zhang,
  • Hongzhi Fan

摘要

In the field of fatigue-life prediction for metallic components, accurately evaluating damage under combined high- and low-cycle fatigue (CCF) loading remains a key challenge. To address this, we propose an improved coupled-damage model. The model introduces a coupling coefficient and a modification index to distinguish the distinct damage mechanisms of low-cycle fatigue (LCF) and high-cycle fatigue (HCF), and it establishes, across different mean stresses, a quantitative relationship between the HCF/LCF life ratio and the CCF stress-amplitude ratio. Experimental validation was conducted on turbine-blade alloys and engineering materials. The resuits show that the proposed model outperforms Miner’s linear accumulation rule and representative models by Ye, Zhu, Trufyakov–Kovalchuk, and Manson–Halford in terms of prediction accuracy and scatter control, most predicted fatigue lives fall within the ± 1.5× life scatter band, with small, tightly centered errors. The approach offers clear physical interpretability and strong engineering applicability, providing a reliable basis for fatigue design and life assessment of critical components under complex loading conditions.