Physics-informed machine learning framework for creep-fatigue life prediction of a Ni-based superalloy using ensemble learning
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Elsevier BV
Reference70 articles.
1. Emerging challenges to structural integrity technology for high-temperature applications;Tu;Front. Mech. Eng. China,2007
2. Notch effect on structural strength of components at elevated temperature under creep, fatigue, and creep-fatigue loading conditions: phenomenon and mechanism;Gong;J. Press Vessel Technol.,2019
3. Creep-fatigue failure diagnosis;Holdsworth;Materials,2015
4. Cycle-dependent creep-fatigue deformation and life predictions in a nickel-based superalloy at elevated temperature;Cheng;Int. J. Mech. Sci.,2021
5. A quantitative metallographic assessment of structural degradation of type 316 stainless steel during creep-fatigue;Hales;Fatigue Fract. Eng. Mater. Struct.,1980
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