Materials and Construction
PREDICTION OF FLOW PROPERTIES OF HIGH-FLUIDITY CONCRETE USING MULTIPLE MACHINE LEARNING MODELS
2025 Volume 31 Issue 78 Pages 625-630
Details
2025 Volume 31 Issue 78 Pages 625-630
This study extended previous research by predicting the slump flow and time to 500 mm flow using various factors of high-fluidity concrete with multiple machine learners. The prediction results for unknown data showed a coefficient of determination R2 of 0.73 for slump flow and 0.71 for 500 mm flow arrival time, both with high accuracy over 70%. Permutation Feature Importance and Partial Dependence Plot visualized and evaluated the feature importance and influence of various factors on flow characteristics through machine learning.
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