摘要
通过收集整理大量尾矿坝资料,对尾粉砂的物理力学参数应用数理统计分析方法进行基础性量化分析研究,基于概率分布假设检验及可靠性截断概率,建立不同矿种物理力学参数的最优概率分布模型,提出各类物理力学参数的合理取值范围,并对尾粉砂的物理力学性质进行了对比分析。结果表明:尾粉砂物理性质参数变异系数较小,稳定性好,力学性质参数变异系数较大,离散性较高,不同矿种尾粉砂的物理力学参数大都符合正态分布或对数正态分布的最优概率模型;按68%的置信概率作为可靠性截断概率,给出了尾粉砂各物理力学参数的建议范围值,为尾矿库的可靠性设计及细粒尾矿工程特性研究提供重要参考。
Through collected large amount of tailings dam data, the physical and mechanical parameters of tailing silty sand was researched on mathematical statistics analysis method. Based on the probability distribution hypothesis test and reliability blocking probability, optimal probability distribution model of different minerals＇ physical and mechanical pa- rameters were established, the reasonable value range of the physical and mechanical parameters were proposed, and a comparative analysis on physical and mechanical properties of the tailing silty sand was carried out. The results show that the physical property parameters are low coeficients of variation and fine stability, but the mechanical parameters are high coeficient of variation and highly discrete. Different mineral tailing silty sand physical and mechanical parameters mostly accord with the optimal probability model of normal distribution or lognormal distribution. According to 68% confidence probability as the reliability blocking probability, the value ranges of physical and mechanical parameters of tailing silty sand are recommended, which can provide some important references for the reliability design of tailings and engineering properties research of fine-grained tailings
出处
《资源环境与工程》
2014年第2期155-159,共5页
Resources Environment & Engineering
基金
中冶科工集团重大研发项目(0032011005)
关键词
细粒尾矿
尾粉砂
物理力学参数
概率分布模型
取值范围
fine-grained tailings
tailing silty sand
physical and mechanical parameters
probability distribution model
value range
