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首页> 外文期刊>International Journal of Solids and Structures >Macroscopic and microscopic behaviors of binary mixtures of different particle shapes and particle sizes
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Macroscopic and microscopic behaviors of binary mixtures of different particle shapes and particle sizes

机译:不同颗粒形状和粒径的二元混合物的宏观和微观行为

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摘要

The packing density and initial modulus of binary mixtures were studied using the discrete element method (DEM). In addition, the behavior of particle contacts (microscopic behavior) was examined. The binary mixture contains two similar ellipsoids of different sizes. The particle size ratio (r), the ratio of particle sizes between a small particle and a large particle is either 0.1 or 0.2. The particle shape of these binary mixtures is described by the ratio between the major length and the minor length of an ellipsoid (AR= 1.2, 1.5, or 1.7). Very dense samples of different AR and fines contents were generated. In general, the study shows that r affects the initial modulus but not the relationship between void ratio and fines content. The behaviors of samples (AR= 1.5 and 1.7) are similar but different from those of AR= 1.2. The DEM results were fitted by three empirical models for binary mixture. These three models described the relationship between void ratio and fines contents very well. Degree of fitness is related to the number of parameters in the model. Although packing density is not affected by sample shape (cube versus cuboid), initial modulus is affected by sample shape. Microscopic investigation on particle contacts indicated that AR affects the number of contacts but not the distributions of contacts among large-to-large, small-to-small, and large-to-small particles. Greater initial modulus was found for samples of r=0.1. When less than 20% of small particles were introduced to the large particles, initial modulus decreases significantly from the initial modulus of monodisperse samples. (C) 2017 Elsevier Ltd. All rights reserved.
机译:使用离散元素法(DEM)研究了二元混合物的填充密度和初始模量。此外,检查了粒子触点(微观行为)的行为。二元混合物含有两种类似尺寸的类似椭圆形。粒度比(R),小颗粒和大颗粒之间的粒径的比例为0.1或0.2。这些二元混合物的颗粒形状由主长度和椭球(Ar = 1.2,1.5或1.7)的主要长度和少量长度之间的比率描述。产生非常致密的不同AR和罚款内容物。通常,该研究表明,R影响初始模量,但不是空隙率与罚款内容之间的关系。样品(Ar = 1.5和1.7)的行为类似但与AR = 1.2的行为相似。 DEM结果由三个二元混合物的实证模型装配。这三种模型描述了空隙率之间的关系,并非常良好地罚款。健身程度与模型中的参数数量有关。尽管包装密度不受样品形状(立方体与长方体)的影响,但初始模量受样本形状的影响。关于粒子触点的显微镜调查表明,AR影响触点的数量,而不是大于大小小小小小的颗粒的触点的分布。发现r = 0.1的样品找到更大的初始模量。当将小于20%的小颗粒引入大颗粒时,初始模量明显从单分散样品的初始模量显着降低。 (c)2017 Elsevier Ltd.保留所有权利。

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