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    Machine Learning–Based Prediction of the Constitutive Model of Austenitic Stainless Steels at Room and Elevated Temperatures

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    JMCEE7.MTENG-21862.pdf (2.255Mb)
    Date
    2026
    Author
    Long, Houmin
    Fan, Shenggang
    Wang, Weiyong
    Wu, Yiwen
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    Abstract
    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 ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4312600
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