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Optimizing 3D-Printed Concrete Mixes by Montaha Khan is a document available to read on EtoBox.
What is Optimizing 3D-Printed Concrete Mixes about?
This study introduces a machine learning framework for optimizing 3D-printed concrete mixes with CO₂-sequestering materials, achieving high predictive accuracy with a Random Forest model (R² = 0.97). Key factors influencing mechanical properties were identified as the water-binder ratio and CO₂ material content, promoting sustainable construction practices. The findings aim to reduce trial-and-error in mix design and enhance the environmental sustainability of concrete production.
- Author
- Montaha Khan
- Language
- EN