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