crossrefMetals2026-07-14
Comparison of Performances of Machine Learning and Deep Learning Models for Prediction of Creep Rupture Life
Muhammad Bilal Jan, Zengchao Wu, Mengyu Chai
Accurate prediction of creep rupture life is essential for ensuring the long-term reliability of high-temperature components in power generation and petrochemical industries. Selecting appropriate data-driven models for limited and heterogeneous creep datasets remains a critical…