陕北采煤沉陷区黄土基注浆材料性能试验及配比优选

曹晓毅, 王玉涛, 刘小平, 曹祖宝, 武博强

曹晓毅, 王玉涛, 刘小平, 曹祖宝, 武博强. 陕北采煤沉陷区黄土基注浆材料性能试验及配比优选[J]. 煤田地质与勘探, 2020, 48(3): 8-16. DOI: 10.3969/j.issn.1001-1986.2020.03.002
引用本文: 曹晓毅, 王玉涛, 刘小平, 曹祖宝, 武博强. 陕北采煤沉陷区黄土基注浆材料性能试验及配比优选[J]. 煤田地质与勘探, 2020, 48(3): 8-16. DOI: 10.3969/j.issn.1001-1986.2020.03.002
CAO Xiaoyi, WANG Yutao, LIU Xiaoping, CAO Zubao, WU Boqiang. Performance test and proportioning optimization of loess-based grouting materials in coal mining subsidence area of northern Shaanxi[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(3): 8-16. DOI: 10.3969/j.issn.1001-1986.2020.03.002
Citation: CAO Xiaoyi, WANG Yutao, LIU Xiaoping, CAO Zubao, WU Boqiang. Performance test and proportioning optimization of loess-based grouting materials in coal mining subsidence area of northern Shaanxi[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(3): 8-16. DOI: 10.3969/j.issn.1001-1986.2020.03.002

 

陕北采煤沉陷区黄土基注浆材料性能试验及配比优选

基金项目: 

中煤科工集团西安研究院有限公司科技创新基金重点项目(2017XAYZD04)

详细信息
    作者简介:

    曹晓毅,1985年生,女,陕西蒲城人,硕士,副研究员,从事采煤沉陷科研与防治工作.E-mail:caoxiaoyi@cctegxian.com

  • 中图分类号: TD654

Performance test and proportioning optimization of loess-based grouting materials in coal mining subsidence area of northern Shaanxi

Funds: 

Key Projects of Science and Technology Innovation Fund of Xi'an Research Institute of CCTEG(2017XAYZD04)

  • 摘要: 注浆法是采煤沉陷区的主要治理方法,浆材对注浆效果和成本影响很大。以陕北地区黄土-水泥-添加剂混合浆液为研究对象,采用单因素及正交试验对黄土浆液的黏度、凝胶时间、结石率及28 d单轴无侧限抗压强度进行试验研究,对各指标的影响因素及变化规律进行分析,同时,建立黄土基浆液的GA-BPNN预测模型,通过GA多目标全局寻优,优选出一定强度下成本最低的浆液配比。试验结果表明:黄土水泥浆液与陕北地区普遍采用的水泥粉煤灰浆液性能相近,成本大幅降低,黄土基注浆材料密度及结石率受水固比影响最为明显,黏度主要受水固比及黄土(水泥)掺量影响,28 d强度主要受黄土(水泥)掺量影响;采用GA-BPNN构建模型预测的黄土基注浆材料性能预测值与期望值相对误差为0.74%~1.83%,预测结果精度高,可满足实际应用需求。移动阅读
    Abstract: Grouting is the main treatment method of mining subsidence area, and the grouting materials have great influence on the grouting effect and cost. Taking the grout mix composed of loess and cement used in northern Shaanxi as the research object, the viscosity, the gelation time, the stone rate and 28 d uniaxial unconfined compressive strength of loess grout were studied by single factor and orthogonal tests. The influencing factors and changing rule of each index were analyzed. Meanwhile, the GA-BPNN prediction model of loess-based grout was established, and the multi-objective global optimization was carried out through GA. The grout ratio with the lowest cost and certain strength was optimized. The test results show that the loess-cement grout was similar to the grout of cement and fly ash commonly used in northern Shaanxi. The cost was greatly reduced, and the density and stone ratio of loess-based grouting materials are most affected by the water-solid ratio. The viscosity is mainly affected by the water-solid ratio and the loess(cement) content at the same time, the 28d strength is mainly affected by the loess(cement) content, and by the model constructed with GA-BPNN, and the relative error between the predicted value and expected value of performance of loess-based grouting materials is 0.74%-1.83%. The predicted result has high precision and could meet the requirements of practical application.
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出版历程
  • 收稿日期:  2019-12-28
  • 修回日期:  2020-04-01
  • 发布日期:  2020-06-24

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