Automated Concrete Mix Design Using Python: A Code-Compliant IS 10262:2019 Framework for Accurate and Reproducible Mix Proportioning

The present research successfully developed a Python-based automated concrete mix design framework following IS 10262:2019 and relevant IS 456:2000 provisions. The system converts the conventional manual design sequence into a structured and reproducible computational process. It calculates target mean strength, water-cement ratio, cement content, water content, fine aggregate, coarse aggregate, admixture quantity and final mix proportion using the Absolute Volume Method. The first objective was achieved by automating the concrete mix design process and reducing dependence on repetitive manual calculations. The second objective was satisfied through the computation model, which generated material quantities and mix ratios with an absolute volume balance of 1.000 m3. The third objective was achieved through a user interface that allows users to enter material properties and obtain instant code-compliant outputs. The fourth objective was satisfied through validation against manual IS method logic and compliance status checks. For the M30 grade example, the final mix proportion was 1:2.06:3.63 with a water-cement ratio of 0.45. All compliance checks passed, confirming that the design is technically acceptable. Dataset validation also showed good predictive support with R2 = 0.879 and MAE = 3.794 MPa. Overall, the study proves that Python-based automation can improve accuracy, speed, consistency and traceability in concrete mix design while providing a scalable platform for future AI-based optimization.

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