Machine Learning–Based Prediction of the Constitutive Model of Austenitic Stainless Steels at Room and Elevated Temperatures
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Date
2026Author
Long, Houmin
Fan, Shenggang
Wang, Weiyong
Wu, Yiwen
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AbstractThe development of structural engineering is closely tied to innovations in building
materials. Austenitic stainless steel materials, known for their excellent corrosion
resistance, durability, and high plasticity, are drawing growing attention ...A research framework for predicting the mechanical properties and constitutive model
of austenitic stainless steel. It covers data preparation (chemical compositions,
temperatures, mechanical properties, and stress–strain curves), methods (prediction
of ...