Application of MATLAB-assisted Ridge Regression in Weight Reduction and Environmental Protection of Glass Bead Concrete
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Abstract
This study utilizes MATLAB to develop a Ridge regression prediction model, aimed at assessing the impact of incorporating vitrified microbead insulation sand into concrete on both weight reduction and environmental performance. Empirical findings indicate that substituting 20% of the manufactured sand with vitrified microbead insulation sand in C25 concrete reduces the concrete’s weight from 24.98 kg to 24.68 kg, achieving a 0.12% reduction. Concurrently, the compressive strength is significantly enhanced, increasing from 38.5 MPa to 40.3 MPa, indicating a notable improvement in material performance. The weight of the model-predicted concrete is 24.8873 kg, closely aligning with the actual experimental data, thereby affirming the accuracy and reliability of the Ridge regression model. The findings of this study provide robust scientific evidence supporting the lightweight design and sustainable application of concrete materials, highlighting the extensive potential of vitrified microbeads in construction engineering.
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