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细粒尾矿物理力学参数统计分析 被引量:5

Statistical Analysis on Physical and Mechanical Parameters of Fine Grained Tailings
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摘要 从岩土工程的角度明确了细粒尾矿的定义与分类方法,将细粒尾矿划分为尾粉土、尾粉质黏土、尾黏土3类。对细粒尾矿的大样本物理力学参数应用数理统计分析方法进行基础性的量化分析,在此基础上,按68%的置信概率作为可靠性截断概率,给出了细粒尾矿各种物理力学参数的建议范围值,并对细粒尾矿的物理性质、压缩特性、抗剪强度进行了对比分析,为今后细粒尾矿库稳定性评价与设计提供可靠的参数取值,节约工程成本。 From the perspective of geotechnical engineering, the definition and classification of fine grained railings were specified and the tailings are divided into three categories, i. e tailing silt, tailing silt clay and tailing clay. This paper applied statistical analysis to the physical and mechanical parameters of large sample of the tailings to make basic quantitative analysis and, on this basis, taking confidence probability of 68 % as the truncated probability of reliability, the recommended range of values of these parameters were given, then the physical properties, compression behavior and shearing strength thereof were analyzed by comparison, which providing reliable parameter values in stability assessment and design for fine grained tailings pond in the future and saving project cost.
出处 《路基工程》 2015年第4期95-100,共6页 Subgrade Engineering
基金 中冶科工集团大型研发项目:细粒尾矿岩土工程性能及其堆积坝加固治理研究(0032011005)
关键词 细粒尾矿 定义与分类 物理力学性质 统计分析 变异系数 fine-grained tailings definition and classification physical and mechanical properties statistical analysis variation coefficient
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