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    Predicting the Residual Compressive Strength of Concrete Exposed to Elevated Temperatures Using Interpretable Machine Learning 

    Source: Practice Periodical on Structural Design and Construction:;2024:;Volume ( 029 ):;issue: 004:;page 04024055-1
    Author(s): Muhammad Noman; Afaq Khattak; Zeshan Alam; Muhammad Yaqub; Ehsan Noroozinejad Farsangi
    Publisher: American Society of Civil Engineers
    Abstract: The accurate prediction of residual compressive strength (RCS) of concrete plays a critical role in assessing concrete constructions’ safety and structural integrity following exposure to elevated temperatures. Existing ...
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