Journal
ENGINEERING FRACTURE MECHANICS
Volume 276, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfracmech.2022.108935
Keywords
Notch effect; Size effect; Fatigue; Probabilistic modeling; Weakest link theory
Categories
Funding
- National Natural Science Foundation of China
- Sichuan Science and Technology Program
- Guangdong Basic and Applied Basic Research Foundation
- [12232004]
- [11972110]
- [2022JDJQ0024]
- [2021YFG0210]
- [2021B1515140030]
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This study proposes a probabilistic framework for fatigue life prediction of notched components, considering the effects of notch and size. Through FE analysis and validation using experimental data, the results indicate that the proposed method achieves better prediction accuracy.
Notch and size effects exerts significant influence on the fatigue performances of engineering components. In the present study, a probabilistic framework for fatigue life prediction of the notched components is proposed based on the calibrated weakest link theory considering size effect. Specifically, a probabilistic method considering the notch effect is elaborated utilizing FE analysis, which inherently considers the size effect and can be used for fatigue life prediction of components with arbitrary shapes. Model validation and comparison are carried out using experimental data of GH4169, TC4 and TC11 alloys with various specimen geometries as well as a full-scale compressor disc. Results indicate that the proposed model presents better prediction accuracy than the other three traditional methods.
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