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  • Open Access

    ARTICLE

    Fly Ash and Slag as Partial Replacement of Cement for the Synthesis of Low Carbon Cementitious Materials

    Yafei Hu1,2, Keqing Li1,2, Lujing Zheng3, Bin Han1,2,*

    Journal of Renewable Materials, Vol.11, No.5, pp. 2491-2511, 2023, DOI:10.32604/jrm.2023.025129 - 13 February 2023

    Abstract Tailings known as solid waste are generated by the mining industry. The development of tailings as wet shotcrete aggregates has significant economic and environmental benefits. The fine particle size of the tailings results in a large consumption of traditional cement as a cementitious material and insignificant improvement in strength. Therefore, a composite cementitious system of cement and solid waste resources (fly ash and slag powder) is explored for this study. In this paper, the response surface methodology (RSM) is used to optimize the experimental design and a multivariate nonlinear response model with cement, fly ash… More >

  • Open Access

    ARTICLE

    Fluidity Influencing Factor Analysis and Ratio Optimization of New Filling Slurry Based on the Response Surface Method

    Guanfeng Chang, Xinzhu Hua*, Xiao Liu, Chen Li, Enqian Wang, Bingjun Sun

    Journal of Renewable Materials, Vol.10, No.5, pp. 1439-1458, 2022, DOI:10.32604/jrm.2022.018607 - 22 December 2021

    Abstract The filling mining method is important in realizing the green mining of mineral resources. Aiming at the problems of land resource occupation, environmental pollution, and rational utilization of coal-based solid wastes such as coal gangue, fly ash, and desulfurization gypsum, a new paste filling material was developed with coal gangue, fly ash, and desulfurization gypsum as raw materials. The microstructure of the raw materials was analyzed by XRD and SEM. Combined with the Box-Behnken experimental design, the effect of each component on the fluidity of the filling slurry was analyzed through the response surface analysis.… More > Graphic Abstract

    Fluidity Influencing Factor Analysis and Ratio Optimization of New Filling Slurry Based on the Response Surface Method

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