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Effect of Mix Proportion Parameters on Behaviors of Basalt Fiber RPC Based on Box-Behnken Model

College of Transportation, Jilin University, Changchun 130025, China
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Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(10), 2031; https://doi.org/10.3390/app9102031
Received: 1 April 2019 / Revised: 5 May 2019 / Accepted: 13 May 2019 / Published: 17 May 2019
(This article belongs to the Special Issue Fiber-Reinforced Concrete)
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Abstract

Basalt fibers are widely used in the modification of concrete materials due to its excellent mechanical properties and corrosion resistance. In this study, the basalt fibers were used to modify reactive powder concrete (RPC). The effect of four mix proportion parameters on the working and mechanical properties of basalt fiber reactive powder concrete (BFRPC) was evaluated by the response surface methodology (RSM). The fluidity, flexural and compressive strength were tested and evaluated. A statistically experimental model indicated that D (the silica fume to cement ratio) was the key of interactions between factors, affecting other factors and controlling properties of BFRPC. The increase in basalt fiber content had a remarkable effect on increasing the flexural and compressive strength when D = 0.2. The addition of basalt fiber obviously improved the mechanical properties of RPC. While when D = 0.4, the decrease of fiber content and the increase of quartz sand content could increase the compressive strength. View Full-Text
Keywords: reactive powder concrete; basalt fiber; workability; mechanical properties; Box-Behnken design reactive powder concrete; basalt fiber; workability; mechanical properties; Box-Behnken design
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liu, H.; Liu, S.; Wang, S.; Gao, X.; Gong, Y. Effect of Mix Proportion Parameters on Behaviors of Basalt Fiber RPC Based on Box-Behnken Model. Appl. Sci. 2019, 9, 2031.

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