Abstract
Good workability of fresh high-performance concrete (HPC) is a key importance to achieve excellent mechanical and durability performance of the hardened HPC. To reduce the negative impact of the workability reduction on fresh HPC mixture, the effect of different replacement ratios of fly ash (FA), sand ratio, and water-to-cement ratio on the workability loss of HPC was studied through the response surface methodology (RSM) with Design Expert 8.0 software. According to regression and variance analysis, the consistent RSM model of HPC was established and optimized. More importantly, the frost resistance of HPC was tested in this study, since the cold weather and severe rapid temperature change all year in Northeast China. The results showed that the predict models demonstrated a close correlation between variables and responses. By selecting the optimization result via using the model, the optimized proportion of the sand ratio, the water–cement ratio, and content of FA (slag) was obtained as 0.38–0.396, 0.345, and 22–24% (18–16%), respectively. The deviations between the experimental value and the theoretical prediction value were less than 4%, which indicated that the actual loss of workability of the HPC was accurately calculated with the response surface method. All specimens met the engineering requirements and possessed high compressive strength after 300 freeze–thaw cycles.
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This research work has been made possible thanks to financing from National Natural Science Foundation of China (51872120), National Key R&D Program of China (No. 2017YFB0309905), National High-tech R&D Program (863 Program) of China (863 program) (2015AA034701), 111 project of international corporation on Advanced cement-based Materials (No. D17001).
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Luan, C., Zhou, M., Zhou, T. et al. Optimizing the Design Proportion of High-Performance Concrete via Using Response Surface Method. Iran J Sci Technol Trans Civ Eng 46, 2907–2921 (2022). https://doi.org/10.1007/s40996-021-00802-9
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DOI: https://doi.org/10.1007/s40996-021-00802-9