Prediction of compressive strength effect of cement concrete incorporating fine electric arc furnace slag aggregates

https://doi.org/10.31130/ud-jst.2026.24(6A).287E

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Author

  • Cuong T. Nguyen
    The University of Danang - University of Science and Technology, Vietnam
    Thao T.T. Tran
    The University of Danang - University of Science and Technology, Vietnam
    Phuong N. Pham
    The University of Danang - University of Science and Technology, Vietnam
    Phat Nguyen
    The University of Danang - University of Science and Technology, Vietnam

Từ khóa:

electric arc furnace slag (EAFS)
steel slag concrete
compressive strength
ANN model

Tóm tắt

Fine electric arc furnace slag (EAFS) aggregates exhibited a positive effect on the compressive strength of steel slag concrete. This study analyzes the influence of replacing conventional fine aggregates with EAFS and develops predictive models to estimate the resulting enhancement in compressive strength. A regression model incorporating the compressive strength of the control concrete without EAFS and their contents as input variables achieved a coefficient of determination of R2 = 0.76. To further improve predictive performance and ensure model reliability with the limited dataset (33 samples), an Artificial Neural Network (ANN) model was developed using 10-fold Cross-Validation. The optimized ANN model yielded a higher coefficient of determination R2 = 0.8487 and a robust Root Mean Square Error (RMSE = 13.51%). These parameters confirm that the ANN model provides superior predictive accuracy compared to conventional regression. The models are applicable within the range of control compressive strength fco = 21.5-66.1 MPa and slag replacement ratio PcSlag = 10%-100%.

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Jun 30, 2026
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Nguyen, C. T., T. T. Tran, P. N. Pham, và P. Nguyen. “Prediction of Compressive Strength Effect of Cement Concrete Incorporating Fine Electric Arc Furnace Slag Aggregates”. Tạp Chí Khoa học Và Công nghệ Đại học Đà Nẵng, vol 24, số p.h 6A, Tháng Sáu 2026, tr 74-78, doi:10.31130/ud-jst.2026.24(6A).287E.

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