|本期目录/Table of Contents|

[1]史俊伟,孟祥瑞,董羽,等.基于地表沉陷控制的膏体充填材料的性能优化研究[J].中国安全生产科学技术,2017,13(10):143-149.[doi:10.11731/j.issn.1673-193x.2017.10.024]
 SHI Junwei,MENG Xiangrui,DONG Yu,et al.Study on performance optimization of paste filling material for controlling surface subsidence[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(10):143-149.[doi:10.11731/j.issn.1673-193x.2017.10.024]
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基于地表沉陷控制的膏体充填材料的性能优化研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年10期
页码:
143-149
栏目:
现代职业安全卫生管理与技术
出版日期:
2017-10-30

文章信息/Info

Title:
Study on performance optimization of paste filling material for controlling surface subsidence
文章编号:
1673-193X(2017)-10-0143-07
作者:
史俊伟12孟祥瑞2董羽1陈章良1孙玉峰1
(1.山东工商学院 管理科学与工程学院,山东 烟台 264005;2.安徽理工大学 能源与安全学院,安徽 淮南 232001)
Author(s):
SHI Junwei12 MENG Xiangrui2 DONG Yu1 CHEN Zhangliang1 SUN Yufeng1
(1. School of Management Science and Engineering, Shandong Technology and Business University, Yantai Shandong 264005,China; 2. School of Mining and Safety Engineering, Anhui University of Science & Technology, Huainan Anhui 232001, China)
关键词:
充填开采充填材料正交试验AHP模糊决策性能优化
Keywords:
backfill mining filling material orthogonal experiment analytic hierarchy process (AHP) fuzzy decision-making performance optimization
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2017.10.024
文献标志码:
A
摘要:
充填材料性能是充填开采控制地表沉陷的一个重要因素,为克服传统充填材料性能优化试验耗时长、成本高、人为误差较大的缺点,探索将传统正交试验与模糊决策相结合进行充填材料性能优化。基于L9(33)正交试验,确定了S1~S55组充填材料性能优选方案。在综合分析充填材料性能影响因素的基础上,建立充填材料性能优化指标体系,构建AHP-FUZZY模糊综合优选模型对方案进行比选,并分析了正交试验中各因素水平变化对最优方案的敏感性。结果表明:膏体充填材料性能最优方案为“S4”即水泥含量15%,灰矸比1∶2,质量浓度75%,决策结果与试验结果相符,且“灰矸比”对充填材料性能优化的敏感性程度最高,在实际膏体充填开采中要严格控制粉煤灰和煤矸石掺量。
Abstract:
The performance of filling material is an important factor for controlling the surface subsidence by backfill mining. In order to overcome the disadvantages of long time-consuming, high cost and greater human error in the traditional performance optimization experiments of filling material, it was explored to carry out the performance optimization of filling material by combining the e traditional orthogonal experiment with the fuzzy decision-making. Firstly, five sets of filling material performance optimization scheme that remembered as S1 to S5 were determined through L9 (33) orthogonal test. Then, the optimization index system and AHP-FUZZY comprehensive optimization model of the performance of filling materials were established based on the comprehensive analysis of the factors affecting the performance of filling materials. In addition, the sensitivity of the change of each factor in the orthogonal experiment to the optimal scheme were analyzed. The results showed that the optimal scheme of the performance of filling materials was "S4", that was, the cement content was 15%, the fly ash-gangue ratio was 1∶2, and the mass concentration was 75%. The results from fuzzy decision-making method was consistent with the result from orthogonal experiment. Moreover, the fly ash-gangue ratio was the most sensitive to the performance optimization of filling material, so the mixing amount of fly ash and coal gangue must be strictly controlled in the actual backfill mining.

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备注/Memo

备注/Memo:
国家自然科学基金项目(41601593)
更新日期/Last Update: 2017-11-03