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A theoretical explanation of grain size distributions in explosive rock fragmentation

机译:爆炸性岩石碎裂中粒度分布的理论解释

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摘要

We have measured grain size distributions of the results of laboratory decompression explosions of volcanic rock. The resulting distributions can be approximately represented by gamma distributions of weight per cent as a function of ϕ = −log2⁡d, where d is the grain size in millimetres measured by sieving, with a superimposed long tail associated with the production of fines. We provide a description of the observations based on sequential fragmentation theory, which we develop for the particular case of ‘self-similar’ fragmentation kernels, and we show that the corresponding evolution equation for the distribution can be explicitly solved, yielding the long-time lognormal distribution associated with Kolmogorov's fragmentation theory. Particular features of the experimental data, notably time evolution, advection, truncation and fines production, are described and predicted within the constraints of a generalized, ‘reductive’ fragmentation model, and it is shown that the gamma distribution of coarse particles is a natural consequence of an assumed uniform fragmentation kernel. We further show that an explicit model for fines production during fracturing can lead to a second gamma distribution, and that the sum of the two provides a good fit to the observed data.
机译:我们已经测量了火山岩实验室减压爆炸结果的粒度分布。所得的分布可以近似地用重量百分比的γ分布表示,该分布是ϕ =-log2⁡d的函数,其中d是通过筛分测得的以毫米为单位的晶粒尺寸,其中叠加了与细粉生产相关的长尾巴。我们提供了基于顺序碎片理论的观察结果的描述,该理论是针对“自相似”碎片内核的特殊情况而开发的,并表明可以明确求解对应的分布演化方程,从而获得了较长的时间。与Kolmogorov的碎片理论相关的对数正态分布。在广义的“还原”碎片模型的约束下,描述和预测了实验数据的特定特征,特别是时间演变,对流,截断和细粉生产,结果表明,粗颗粒的伽马分布是自然的结果假设的统一碎片内核。我们进一步表明,在压裂过程中产生细粉的显式模型可以导致第二个伽马分布,并且两者之和与观察到的数据非常吻合。

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