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Fatigue life prediction of titanium alloy TA19 based on Weibull distribution and first-order reliability correction
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Changbiao QUAN1, 2, Mingfu LIAO1, Jian LI2, Xiuzhi TANG3, Jia HUANG3, Houjun QIN3
Journal of Materials Engineering | 2025, 53(11) : 125 - 133
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Journal of Materials Engineering | 2025, 53(11): 125-133
RESEARCH ARTICLE
Fatigue life prediction of titanium alloy TA19 based on Weibull distribution and first-order reliability correction
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Changbiao QUAN1, 2, Mingfu LIAO1, Jian LI2, Xiuzhi TANG3, Jia HUANG3, Houjun QIN3
Affiliations
  • 1.School of Power and Energy,Northwestern Polytechnical University,Xi’an 710072,China
  • 2.AECC Hunan Aviation Powerplant Research Institute,Zhuzhou 412002,Hunan,China
  • 3.Research Institute of Aerospace Technology,Central South University,Changsha 410083,China
Published: 2025-11-20 doi: 10.11868/j.issn.1001-4381.2025.000014
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With the improvement in aeroengine performance,critical components (such as centrifugal impellers) operate under high-temperature,high-stress,and complex load conditions. Geometric discontinuities (such as ventilation holes and fillet radii) have become weak points for fatigue failure. This study focused on TA19 material,preparing smooth and U-shaped notch specimens for low-cycle fatigue tests under high-temperature conditions. Fatigue life data have fitted using the Weibull distribution,and an improved iterative fatigue life model is proposed to address the limitations of traditional models in regions with stress concentration. The model incorporates the stress concentration factor (Kt) and first-order reliability theory for correction. The results indicate that due to stress concentration effects,U-shaped notch specimens exhibit more concentrated fatigue life distributions,whereas smooth specimens show greater variability. The Kolmogorov-Smirnov test verifies that the data conforms to the Weibull distribution characteristics. The revised model significantly improves the prediction accuracy,with most of the predicted data falling within±1.5 times the scatter band. Additionally,P-S-N curves for different failure probabilities are constructed,providing a valuable reference for the reliable fatigue life prediction of complex structures.

fatigue life prediction  /  Weibull distribution  /  P-S-N curve  /  notch  /  low cyclic fatigue
Changbiao QUAN, Mingfu LIAO, Jian LI, Xiuzhi TANG, Jia HUANG, Houjun QIN. Fatigue life prediction of titanium alloy TA19 based on Weibull distribution and first-order reliability correction[J]. Journal of Materials Engineering, 2025 , 53 (11) : 125 -133 . DOI: 10.11868/j.issn.1001-4381.2025.000014
Year 2025 volume 53 Issue 11
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Article Info
doi: 10.11868/j.issn.1001-4381.2025.000014
  • Receive Date:2025-01-19
  • Online Date:2026-01-21
  • Published:2025-11-20
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  • Received:2025-01-19
  • Accepted:2025-03-10
Affiliations
    1.School of Power and Energy,Northwestern Polytechnical University,Xi’an 710072,China
    2.AECC Hunan Aviation Powerplant Research Institute,Zhuzhou 412002,Hunan,China
    3.Research Institute of Aerospace Technology,Central South University,Changsha 410083,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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