Cite
A comparative study of creep-fatigue life prediction for complex geometrical specimens using supervised machine learning.
MLA
Song, Jianan, et al. “A Comparative Study of Creep-Fatigue Life Prediction for Complex Geometrical Specimens Using Supervised Machine Learning.” Engineering Fracture Mechanics, vol. 291, Oct. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engfracmech.2023.109567.
APA
Song, J., Li, Z., Tan, H., Huang, J., & Chen, M. (2023). A comparative study of creep-fatigue life prediction for complex geometrical specimens using supervised machine learning. Engineering Fracture Mechanics, 291, N.PAG. https://doi.org/10.1016/j.engfracmech.2023.109567
Chicago
Song, Jianan, Zhenlei Li, Haijing Tan, Jia Huang, and Mengqi Chen. 2023. “A Comparative Study of Creep-Fatigue Life Prediction for Complex Geometrical Specimens Using Supervised Machine Learning.” Engineering Fracture Mechanics 291 (October): N.PAG. doi:10.1016/j.engfracmech.2023.109567.