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金属矿山 ›› 2015, Vol. 44 ›› Issue (04): 111-113.

• 开采损害 • 上一篇    下一篇

基于正交试验的全尾砂胶结充填配比方案优化

孙光华1,2,魏莎莎1,2,苏东良1,2   

  1. 1.河北联合大学矿业工程学院,河北 唐山 063009;2.河北省矿业开发与安全技术重点实验室,河北 唐山 063009
  • 出版日期:2015-04-15 发布日期:2015-08-04
  • 基金资助:

    * 河北省自然科学基金项目(编号:E2014209093),唐山市科技局项目(编号:12140208A-11,12140208A-12)。

Optimal Matching Scheme for the Full Tailings-Cemented Filling Based on the Orthogonal Experiment

Sun Guanghua1,2,Wei Shaha1,2,Su Dongliang1,2   

  1. 1.College of Mining Engineering,Hebei United University,Tangshan 063009,China;2.HeBei Province Key Laboratory of Mining Development and Safety Technique,Tangshan 063009,China
  • Online:2015-04-15 Published:2015-08-04

摘要: 为获得全尾砂胶结充填最优配比,降低矿山充填成本,保证空区稳定,以全尾砂胶结充填体试块为研究对象,试块的单轴抗压强度为指标,综合考虑充填体强度的影响因素,采用正交试验开展研究,并运用极差和方差分析法对充填体强度影响因素的敏感性和显著性进行分析。研究表明:试验最优配比方案为浓度75%,灰砂比1∶6,养护龄期28 d;影响试块的敏感性顺序是养护龄期>灰砂比>浓度;养护龄期对充填体强度的影响最显著。因此,矿山在生产实际中要保证充填体的养护时间。

关键词: 全尾砂胶结充填体, 抗压强度, 正交试验, 方案优化

Abstract: In order to acquire the optimal matching scheme of the full tailings-cemented filling body,decrease the filling cost and guarantee the gap stability,and taking the full tailings-cemented filling body as the research object and the uniaxial compressive strength as the research index,the influencing factors for the strengthening of the filling body are comprehensively analyzed.The sensitivity and the significance of filling body′s influencing factors were analyzed by the range analysis and variance analysis through applying orthogonal experiment.Researches showed that the optimal matching scheme of this experiment was the concentration of 75%,cement-sand ratio of 1∶6 and curing period for 28 days.The intensity sequence of the sensitivity affecting the samples from highest to lowest was the curing age,cement-sand ratio and concentration.The curing age has the most significance on the filling bodies′ compressive strength.Therefore,the mine needs to guarantee the curing age about the filling body in the practical production.

Key words: Full tailings-cemented filling body, Compressive strength, Orthogonal experiment, Scheme optimization