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固结粉充填胶凝材料粉体细度对充填体强度的影响
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  • 英文篇名:Impacts of slag-based-binder fineness on strength in mining backfill
  • 作者:肖柏林 ; 杨志强 ; 陈得信 ; 高谦
  • 英文作者:XIAO BoLin;YANG ZhiQiang;CHEN DeXin;GAO Qian;Key Laboratory of High Efficient Mining and Safety of Metal Mine (Ministry of Education), School of Civil and Environmental Engineering,University of Science and Technology Beijing;Jinchuan Group Co.LTD;
  • 关键词:高炉水淬渣 ; 矿渣基充填胶凝材料 ; 粉体细度 ; 相对活性指数 ; 强度模型
  • 英文关键词:blast furnace slag;;slag-gypsum binder(SGB);;slag fineness;;activity index;;strength model
  • 中文刊名:JEXK
  • 英文刊名:Scientia Sinica(Technologica)
  • 机构:北京科技大学土木与资源工程学院金属矿山高效开采与安全教育部重点实验室;金川集团股份有限公司;
  • 出版日期:2019-04-20
  • 出版单位:中国科学:技术科学
  • 年:2019
  • 期:v.49
  • 基金:国家重点研发计划重点专项(编号:2017YFC0602903)资助项目
  • 语种:中文;
  • 页:JEXK201904004
  • 页数:9
  • CN:04
  • ISSN:11-5844/TH
  • 分类号:44-52
摘要
针对利用掺量超过75%水淬渣开发的充填胶凝材料(固结粉),探讨胶凝材料粉体细度对充填体强度的影响规律.粉体的比表面积测量结果表明,比表受温度影响显著,因此,固结粉细度需要比表结合采用+45μm筛余百分比作为细度指标进行其质量评价;粉体粉磨实验表明,最佳粉磨时间为0.5 h,增加粉磨时间将大幅降低粉磨效率.针对不同粉体细度进行了固结粉充填体强度试验,建立了水灰比与其强度的指数函数关系,表明了粉体细度越细,材料强度越高,在此基础上提出了固结粉相对活性指数η的概念,且η与粉体细度δ呈对数线性关系;最后在传统采用浓度、胶砂比等工业充填参数的强度模型基础上,建立了考虑粉体细度影响的充填体强度预测改进模型,通过验证结果显示,模型预测误差率在10%以内,满足充填工业运行的范围.
        For the slag-gypsum binder(SGB) applied in mining backfill, which the quantity percentage of slag could be exceed 75%, this research studied the influencing rules of the SGB fineness on backfilling body strength. Firstly, tests on different milling duration of the SGB were carried out to study the SGB particle characteristics. It shows that surface area measurement is significantly affected by temperature, therefore, a new index δ which indicates cumulative particle percentage larger than 45 μm was used to evaluate the SGB fineness. And the best milling duration is 0.5 h, overtime milling contributes to a low efficiency drastically. Secondly, it carried out strength tests on the backfilling body with different SGB fineness δ, established an exponential function between strength and watercement ratio. To illustrate the result of "the finer SGB, the higher strength", a concept of relative activity index(RAI) η was presented,and the result shows that δ and η forms an inverse log-linear relationship. Finally, a modified strength predicting model which considers the impact of slurry concentration, cement ratio and SGB fineness was established, and the verification tests show that the predicting error is below 10%, which is completely within the industrial adaptation.
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