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This document outlines the optimization process for concrete mix design using machine learning and algorithms, emphasizing the importance of computational optimization followed by laboratory validation. It details the steps involved, including building a predictive model, running optimization algorithms, and validating the best mixes through limited lab tests. The goal is to efficiently identify optimal mixtures without extensive trial-and-error in the lab, focusing on a few selected optimized mixes for tes

Author

alabioluwagbemiga76

Language

EN