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    Interpretable Machine-Learning Models to Predict the Flexural Strength of Fiber-Reinforced SCM-Blended Concrete Composites 

    Source: Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 002:;page 04024113-1
    Author(s): Saad Shamim Ansari; Syed Muhammad Ibrahim; Syed Danish Hasan
    Publisher: American Society of Civil Engineers
    Abstract: A novel data-driven approach to predict and explain the flexural strength (FS) of fiber-reinforced supplementary cementitious material (SCM)-blended concrete composites through interpretable machine learning (ML) models ...
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