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The study presents a regression analysis to predict the compressive strength of concrete using data from RMC plants, focusing on variables such as water-cement ratio and aggregate proportions. Various regression models were developed for different concrete grades (M25, M30, M35) and curing ages, with an emphasis on achieving high R² values for accuracy. The findings highlight the effectiveness of statistical methods in optimizing concrete mix design and predicting strength outcomes.

Author

shurook

Language

EN