土工基础

›› 2014, Vol. 28 ›› Issue (5): 66-69.

• 工程实录 • 上一篇    下一篇

尾粉土物理力学指标统计规律研究

于沉香，程江涛，蔡 清   

  1. （中冶集团武汉勘察研究院有限公司，武汉 430080）
  • 收稿日期:2013-11-29 出版日期:2014-10-20 发布日期:2014-10-28
  • 作者简介:于沉香（1987-），女，助理工程师，研究方向为尾矿库坝稳定性研究。

Statistical Study of Physical and Mechanical Indexes of the Tailing Silt

YU Chenxiang, CHENG Jiangtao, CAI Qing   

  1. （Wuhan Surveying & Geotechnical Research Institute Co. Ltd., of MCC, Wuhan 430080）
  • Received:2013-11-29 Online:2014-10-20 Published:2014-10-28

摘要： 采用数理统计及一元回归分析方法，对尾粉土各项物理力学指标进行统计分析，对物理指标间的相关性、物理指标与力学指标间的相关性进行回归分析，并建立了用于指标预测的经验公式。统计分析表明，尾粉土物理力学性质指标的变异性整体上变化不大，相关性较强，对细粒尾矿尾粉土的物理力学指标取值时，可以不考虑其变异性，近似地取其平均值作为设计参数。数据回归得到的回归方程可以估算细粒尾矿尾粉土的一些物理力学特性，为细粒尾矿坝的稳定性研究提供参考。

关键词: 细粒尾矿, 尾粉土, 物理力学指标, 统计分析, 相关性

Abstract: The evaluation the correlations among the physical and mechanical properties of the finegrained tailing soil is of great significance on the reliability research of physical and mechanical parameters as well as the saving soil test cost. This paper presents the results of the regression analysis on the physical properties by using both mathematical statistics and linear regression analysis methods. The empirical relationships between mechanical properties and physical properties are established. The statistical analysis results indicate, there is no significant variance in the physical and mechanical properties of tailing silt and a strong correlation can be found. For the design purposes, the average values of the tailing silt soil physical and mechanical index values can be used without considering the variability.

Key words: Finegrained Tailings, Tailing Silt, Physical and Mechanical Indexes, Statistical Analysis, Correlations