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1 s2.0 S2772397625000322 Main 1 by u1901117 is a document available to read on EtoBox.
This research investigates the tensile strength of fiber-reinforced rubberized recycled aggregate concrete (FR3C) using nine machine learning models to predict its behavior based on various mix proportions. The K-Nearest Neighbors model outperformed others, achieving the best predictive accuracy, while key factors influencing tensile strength were identified as compressive strength, water-to-cement ratio, and fiber content. The findings aim to enhance concrete mix design and promote sustainable practices in
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- u1901117
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- EN