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Simulating the particle size distribution of rockfill materials based on its statistical regularity

机译:根据堆石料的统计规律模拟其粒度分布

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摘要

The particle size distribution of rockfill is studied by using granular mechanics, mesomechanics and probability statistics to reveal the relationship of the distribution of particle size to that of the potential energy intensity before fragmentation,which finds out that the potential energy density has a linear relation to the logarithm of particle size and deduces that the distribution of the logarithm of particle size conforms to normal distribution because the distribution of the potential energy density does so. Based on this finding and by including the energy principle of rock fragmentation, the logarithm distribution model of particle size is formulated, which uncovers the natural characteristics of particle sizes on statistical distribution. Exploring the properties of the average value, the expectation, and the unbiased variance of particle size indicates that the expectation does notequal to the average value, but increases with increasing particle size and its ununiformity, and is always larger than the average value, and the unbiased variance increases as the ununiformity and geometric average value increase. A case study proves that the simulated results by the proposed logarithm distribution model accord with the actual data. It is concluded that the logarithm distribution model and Kuz-Ram model can be used to forecast the particle-size distribution of inartificial rockfill while for blasted rockfill, Kuz-Ram model is an option, and in combined application of the two models, it is necessary to do field tests to adjust some parameters of the model.
机译:利用颗粒力学,细观力学和概率统计方法研究了堆石料的粒径分布,揭示了碎石粒径与破碎前势能强度的关系,发现势能密度与破碎前呈线性关系。对数的对数,推论出对数的分布符合正态分布,因为势能密度的分布符合正态分布。在此发现的基础上,结合岩石碎裂的能量原理,建立了粒径的对数分布模型,揭示了粒径分布的自然特征。探索平均值的特性,期望值和粒径的无偏方差表明,期望值的确与平均值相等,但随着粒径及其不均匀性的增加而增加,并且始终大于平均值,并且随着不均匀性和几何平均值的增加,无偏方差也增加。实例研究表明,所提出的对数分布模型的仿真结果与实际数据吻合。结论是对数分布模型和Kuz-Ram模型可用于预测非人工堆石料的粒径分布,而爆破堆石则可采用Kuz-Ram模型,在两种模型的组合应用中必须进行现场测试以调整模型的某些参数。

著录项

  • 来源
    《重庆大学学报(英文版)》 |2003年第2期|20-23|共4页
  • 作者单位

    College of Resource and Environmental Science, Chongqing University, Chongqing 400030, P.R China;

    Key Lab for China Southwest Resource Exploitation & Environmental Disaster Control Engineering Under the State Ministry of Education, Chongqing University, Ch;

    College of Resource and Environmental Science, Chongqing University, Chongqing 400030, P.R China;

    Key Lab for China Southwest Resource Exploitation & Environmental Disaster Control Engineering Under the State Ministry of Education, Chongqing University, Ch;

    College of Resource and Environmental Science, Chongqing University, Chongqing 400030, P.R China;

    Key Lab for China Southwest Resource Exploitation & Environmental Disaster Control Engineering Under the State Ministry of Education, Chongqing University, Ch;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 地质学;
  • 关键词

    rockfill; particle size; probability statistics; distribution characteristics;

    机译:堆石料;粒径;概率统计;分布特征;
  • 入库时间 2022-08-19 03:42:02
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