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A particle packing model for sand-silt mixtures with the effect of dual-skeleton

机译:具有双骨架效应的粉砂混合料颗粒堆积模型

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The study of particle packing models for binary mixtures is important in the field of granular materials, from both theoretical and practical perspectives. A number of particle packing models have been developed for predicting packing density (or void ratio) of a binary mixture. However, the measured results and the predicted values do not always agree with each other, particularly in the range of fines content between 25 and 50%. It is postulated herein that the discrepancies between the measured results and the predicted values are primarily due to the incorrect assumptions used in the existing models. In the existing models, the packing density is determined from one of the following two assumed mechanisms of particle mixing: (1) the mixed packing has a dominant large-particle skeleton and the small particles fill the voids of the large-particle skeleton, or (2) the mixed packing has a dominant small-particle skeleton and the large particles are embedded in the small-particle skeleton. It is obvious that the first assumed mechanism is only applicable for mixtures with low fines content, whereas the second assumed mechanism is only applicable to mixtures with high fines content. Therefore, the predictions from existing models are unsuitable for mixtures with medium fines content, such as a mixture of fines content between 25 and 50%. In this study, a 3-D discrete element simulation is carried out to show that, for a mixture of medium fines content, the packing structure has a dual-skeleton, which is neither dominated by a large nor small-particle skeleton. Then, we postulate that, in the mixed packing, both mechanisms can take place: filling of small particles and embedment of large particles. The concepts of "dual-skeleton index" and "index size" are proposed to account for the interactive effects of filling and embedment. Based on this postulation, we develop an analytical method, which has the capability of predicting minimum void ratio for sand-silt mixtures with various fines contents. The developed model is then validated by the experimental results obtained from 16 types of sand-silt mixtures.
机译:从理论和实践的角度来看,对二元混合物的颗粒堆积模型的研究在粒状材料领域都非常重要。已经开发了许多颗粒堆积模型来预测二元混合物的堆积密度(或空隙率)。然而,测量结果和预测值并不总是彼此一致,特别是在25%至50%的细粉含量范围内。在此假定,测量结果与预测值之间的差异主要是由于现有模型中使用的错误假设所致。在现有模型中,堆积密度是根据以下两种假定的颗粒混合机理之一确定的:(1)混合堆积具有主要的大颗粒骨架,而小颗粒则填充了大颗粒骨架的空隙,或者(2)混合填料具有主要的小颗粒骨架,大颗粒嵌入小颗粒骨架中。显然,第一种假定的机制仅适用于细粉含量低的混合物,而第二种假定的机制仅适用于细粉含量高的混合物。因此,现有模型的预测不适用于中等细粉含量的混合物,例如细粉含量在25%至50%之间的混合物。在这项研究中,进行了3​​-D离散元素模拟,结果表明,对于中等细颗粒含量的混合物,填料结构具有双骨架,既不由大颗粒骨架也不由小颗粒骨架主导。然后,我们假设,在混合填充中,两种机制都可能发生:小颗粒的填充和大颗粒的嵌入。提出了“双骨架索引”和“索引大小”的概念,以说明填充和嵌入的交互作用。在此假设的基础上,我们开发了一种分析方法,该方法能够预测各种细粉含量的砂泥混合料的最小空隙率。然后通过从16种砂-粉混合物中获得的实验结果验证了所开发的模型。

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