PREDICTIVE ASSESSMENT OF CONCRETE COMPRESSIVE STRENGTHUSING MIX DESIGN PARAMETERS AND ENGINEERED CEMENTITIOUSFEATURES
DOI:
https://doi.org/10.69980/cz0q8647Keywords:
Concrete Compressive Strength, mix design, water-cement ratioAbstract
Concrete compressive strength is a key indicator of concrete quality, structural performance, and suitability for construction applications. This study presents a predictive assessment of concrete compressive strength using mix design parameters and engineered cementitious features. The analysis was based on 1,030 concrete mix records containing cement, slag, fly ash, water, superplasticizer, coarse aggregate, fine aggregate, curing age, compressive strength, and derived features including water-cement ratio, total binder content, aggregate-to-cement ratio, cement-water interaction, and age-strength proxy. Descriptive analysis showed that compressive strength ranged from 2.33 MPa to 82.60 MPa, indicating broad variation across low-, medium-, and high-strength concrete mixtures. Correlation analysis revealed that total binder content, cement content, age-strength proxy, superplasticizer, and curing age were positively associated with compressive strength, while water-cement ratio, aggregate-to-cement ratio, and water content showed negative relationships. Five regression models were evaluated, including Linear Regression, Decision Tree Regression, Random Forest Regression, Gradient Boosting Regression, and Support Vector Regression. The results showed that non-linear models outperformed Linear Regression, with Random Forest Regression achieving the highest predictive performance with an R² value of 0.908. Feature importance analysis identified total binder content, curing age, age-strength proxy, and water-cement ratio as the most influential predictors. The findings demonstrate that engineered cementitious features can improve strength interpretation and support preliminary concrete mix assessment, quality control, and construction decision making.
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