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  • Open Access

    ARTICLE

    Research and Application Status and Development Trend of Alkali-Activated Binder Powder for Mine Backfill

    Qian Zhou1, Yueyue Zhang1, Juanhong Liu1,2,3,*, Aixiang Wu1,2, Hongjiang Wang1,2

    Journal of Renewable Materials, Vol.10, No.12, pp. 3185-3199, 2022, DOI:10.32604/jrm.2022.020316

    Abstract To improve the economic and social benefits of mining and backfill, it is necessary to find the backfill materials suitable for mineral mining, improve the various properties of the filling materials, and develop low cost, high performance new filling materials. Portland cement is neither environmentally friendly nor economical. Currently, we have begun to study and apply some industrial waste, such as slag, fly ash, and other solid wastes, with certain activities as the primary component of cementing material that will not only meet the technical requirements of filling, but also comprehensively utilize industrial waste and possess a benign, sustainable lifecycle… More >

  • Open Access

    ARTICLE

    Visualization Detection of Solid–Liquid Two-Phase Flow in Filling Pipeline by Electrical Capacitance Tomography Technology

    Ningbo Jing1, Mingqiao Li1, Lang Liu2,*, Yutong Shen1, Peijiao Yang1, Xuebin Qin1

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 465-476, 2022, DOI:10.32604/cmes.2022.018965

    Abstract During mine filling, the caking in the pipeline and the waste rock in the filling slurry may cause serious safety accidents such as pipe blocking or explosion. Therefore, the visualization of the inner mine filling of the solid–liquid two-phase flow in the pipeline is important. This paper proposes a method based on capacitance tomography for the visualization of the solid–liquid distribution on the section of a filling pipe. A feedback network is used for electrical capacitance tomography reconstruction. This reconstruction method uses radial basis function neural network fitting to determine the relationship between the capacitance vector and medium distribution error.… More >

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