Journal of Materials and Engineering Structures
Volume 13, Numéro 3, Pages 393-405
2026-09-30
Authors : Muhammed Twana A. . Mohammed Azad A. . Mohammed Ahmed Salih .
This study develops a nonlinear predictive model to estimate the compressive strength (σc) of self-compacting concrete (SCC) modified with silica fume (SF) based on water-to-cement ratio (w/c), SF content, and curing time (t). A comprehensive dataset of over 225 experimental results from the literature was collected, covering w/c ratios from 0.23 to 0.62, silica fume replacement levels up to 20%, and curing periods up to 90 days. The proposed nonlinear model was calibrated and validated using statistical performance indicators, including the coefficient of determination (R²) and root mean square error (RMSE). Results show a strong agreement between predicted and experimental compressive strength values, confirming the model's high accuracy and reliability in capturing the nonlinear behavior of SCC. Findings indicate that curing time has the most significant impact on compressive strength development, followed by water-to-cement ratio, while silica fume content has a moderate effect within the studied range. Overall, the proposed model offers a robust and accurate tool for predicting the compressive strength of SF-modified SCC across different mix proportions and curing conditions.
Compressive strength ; Curing condition ; Self-compacting concrete ; Silica fume
Nguyen Ho Anh Thu
.
Han Dinh Nguyen Ngoc
.
Bui Phuong Trinh
.
pages 591-596.
Boakye Daniel M.
.
Uzoegbo Herbert C.
.
Mojagotlhe Nonhlanhla
.
Malemona Moeti
.
pages 11-21.
Singh Balraj
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Sihag Parveen
.
Tomar Anjul
.
Sehgad Ankush
.
pages 583-892.
Benmammar Mohammed
.
Boukli Hacene Sidi Mohammed El Amine
.
pages 102-109.
Sihag Parveen
.
Kumar Munish
.
Singh Varun
.
pages 93-103.