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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2021, Vol. 40 ›› Issue (8): 2670-2679.

• Solid Waste and Eco-Materials • Previous Articles     Next Articles

Optimization of Mixture Ratio Research of Controlled Low Strength Materials Based on Response Surface Methodology

ZHU Youzeng, LIU Hao, HUANG Rui, ZHANG Peng   

  1. Faculty of Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China
  • Received:2021-03-08 Revised:2021-05-26 Online:2021-08-15 Published:2021-09-02

Abstract: To solve the problem of low utilization rate of the recycled fine aggregate in concrete, the recycled fine aggregate was used to prepare controlled low strength materials (CLSM), and a new method for CLSM mixture ratio design was provided by response surface methodology (RSM). In this study, the water-solidratio, the content of polycarboxylic acid superplasticizer, the ratio of cement to the total cementitious material(pc/cm) were used as experimental factors, and the ratio of fluidity to bleeding rate and 28 d compressive strength were used as response values to conduct multi-index optimization. According to the single factor experiment, the increase of water-solid ratio and polycarboxylic acid superplasticizer content leads to the increase of CLSM fluidity and bleeding rate. With the increase of pc/cm ratio, the fluidity and the bleeding rate of CLSM gradually decrease. The results of dual response surface analysis show that the interaction of water-solid ratio and pc/cm ratio, polycarboxylic acid superplasticizer content and pc/cm ratio is significant on the ratio of fluidity to bleeding rate, while the interaction of the parameters on the 28 d compressive strength is not significant. Finally, by simultaneously optimizing the two response values, the optimal mixture ratio of CLSM is obtained, which is basically consistent with the actual results, and the multi-index optimization of CLSM working performance and compressive strength is realized.

Key words: recycled fine aggregate, controlled low strength material, response surface analysis, mixture ratio design, multi-index optimization

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