摘要:
针对南洺河铁矿超细全尾砂,利用高炉矿渣、生石灰、芒硝和无机盐材料,进行了全尾砂充填胶凝材料优化配方正交试验.根据极差分析确定生石灰添加量6%的基础上,以试验数据为学习样本,建立了新胶凝材料配方的神经网络模型,开展激发材料掺量对充填体强度预测与影响规律研究.结果 表明,对充填体28d强度影响最大因素是生石灰,其次是半水石膏,芒硝最小.综合考虑胶凝材料成本以及南洺河铁矿采矿方法对充填体强度要求,确定了南洺河全尾砂充填胶凝材料的优化配方是:生石灰6%,半水石膏18%,芒硝1.2%,NaC1 0.6%, CaC12 0.4%和矿渣微粉73.8%.采用优化配方进行验证试验,得到胶结充填体28 d的抗压强度达到2.873MPa,与正交试验中充填体强度试验的误差仅为5%,由此证明,南洺河铁矿全尾砂充填胶凝材料优化配方具有一定的可靠性.
Abstract:
According to the superfine full-tailings of Nanminghe, orthogonal test of new filling cementations material optimal proportion about full-tailings is carried out, the use of blast furnace slag, quick lime, mirabiliteis and inorganic salt. According to range analysis that lime addition amount is 6%, the new cementitious material formulation of neural network model is established in the experiment data as learning samples, the prediction and influnce of activator material content of filling-body strength are investigated. The results show that the largest effect of 28d filling-body strength is lime, followed by semi-hydrated gypsum, minimum is mirabilite. Considering the cementations material cost and mining method on the strength of the filling-body in Nanminghe iron mine, optimal proportion of new filling cementations material about whole tailings was determined:6% lime, 8% semi-hydrated gypsum, 1.2% mirabilite, NaC 10.6%, CaC12 0.4%, 73.8%slag powder. The optimal proportion of verification test is carried out, 28d filling-body strength get reached 2.873MPa, and orthogonal test in the strength of the filling-body test error is only 5%. So optimal proportion of new filling cementitious material about whole tailings has certain reliability in Nanminghe iron mine.
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