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金属矿山 ›› 2019, Vol. 48 ›› Issue (04): 180-184.

• 安全与环保 • 上一篇    下一篇

敏感度与关联度协同优化的边坡变形监测布点方法

吴浩,李珍,鲁清华,熊迪,张祥   

  1. 武汉理工大学资源与环境工程学院,湖北 武汉 430070
  • 出版日期:2019-04-15 发布日期:2019-05-13
  • 基金资助:

    * 国家重点研发计划政府间国际科技创新合作重点专项(编号:2017YFE0109500),安全生产重特大事故防治关键技术科技项目(编号:gaoxiao-0005-2018AQ)。

Optimization Method of Point Location Layout for Slope Deformation Monitoring by Using Sensitivity and Correlation

Wu Hao,Li Zhen,Lu Qinghua,Xiong Di,Zhang Xiang   

  1. School of Resource and Environment Engineering,Wuhan University of Technology, Wuhan 430070, China
  • Online:2019-04-15 Published:2019-05-13

摘要: 选择合理的监测点位是开展边坡变形过程和趋势分析的前提条件。由于现有的布点方式具有较强的主观性,经常出现监测点位错选和漏选的情况,且存在选点标准单一、点位精度低等不足,导致整体监测效果不理想,无法满足现阶段高精度边坡变形监测要求。为此,提出了一种联合运用敏感度和关联度分析的边坡变形监测点优化布设方法,分别从准确度和数量2个角度对传统数值模拟选点方案进行了优化。以陕西省金堆城露天钼矿北帮边坡为例进行了分析,结果表明:该方法具有较强的实用性,可有效增强变形监测网的可靠性,对于合理控制变形监测成本也有一定的参考价值。

关键词: 边坡变形监测, 敏感性模糊分析, 灰色关联度, 监测布点, 数值模拟

Abstract: The prerequisite condition of analyzing the procedure and tendency of slope deformation is to select reasonable monitoring point location.Due to the strong subjectivity of the existing monitoring point layout methods,the monitoring points are often misplaced and missed,and the deficiencies of single standard of point selection and low monitoring accuracy are obvious,which caused the overall monitoring effect is unsatisfactory,besides that,the current requirement of high precision slope deformation monitoring cannot be satisfied.In order to overcome the above deficiencies,a new slope deformation monitoring point optimal layout method based on the combination of sensitivity analysis with correlation analysis is proposed.The traditional point selection scheme by numerical simulation method is optimized from the aspects of precision and quantity.The north stope slope of Jinduicheng molybdenum open-pit mine in Shaanxi Province is taken as an example,the engineering application results show that the method proposed in this paper is a practical method,it not only can effectively enhance the reliability of deformation monitoring network,but also reduce the monitoring cost.

Key words: Slope deformation monitoring, Sensitivity fuzzy analysis, Grey correlation, Monitoring point layout, Numerical simulation.