泥沙形态及形态分布对孔隙度的影响:基于离散元法的模拟研究

IF 2.3 3区 工程技术 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Christoph Rettinger, Ulrich Rüde, Stefan Vollmer, Roy M. Frings
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引用次数: 3

摘要

孔隙度是致密颗粒填料(如沉积物)的关键特性之一,并受多种颗粒特征(如尺寸分布和形状)的影响。在目前的工作中,我们将重点放在沉积颗粒的形状上,即沉积颗粒整体形状的一个特定方面,以研究和量化其对孔隙度的影响,最终得出新的孔隙度预测模型。为此,我们开发了一个基于离散元法的鲁棒和精确的仿真工具,并通过实验室实验进行了验证。利用莱茵河实际沉积物的数字表示,我们首先研究了由单一形式的颗粒组成的填料。在那里,发现孔隙度主要由逆均衡决定,即最长与最小形式定义轴的比值。只有在较小的比例下,其他与形状相关的特性才会变得相关,正如直接比较形状等效但光滑的椭球体的填料所揭示的那样。由于沉积物的自然特征是形成混合物,我们扩展了我们的模拟工具来研究具有正态分布形式的沉积物填料。与我们的单一形式研究一致,发现孔隙度主要取决于平均当量的倒数。通过提供关于第二形状因子和标准偏差的额外信息,我们得出了一个准确的孔隙度预测模型。由于其简单性,它可以很容易地应用于沉积物填料,其中一些测量的平整度和伸长率,两种最常见的形式因素,是可用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of sediment form and form distribution on porosity: a simulation study based on the discrete element method

Porosity is one of the key properties of dense particle packings like sediment deposits and is influenced by a multitude of grain characteristics such as their size distribution and shape. In the present work, we focus on the form, a specific aspect of the overall shape, of sedimentary grains in order to investigate and quantify its effect on porosity, ultimately deriving novel porosity-prediction models. To this end, we develop a robust and accurate simulation tool based on the discrete element method which we validate against laboratory experiments. Utilizing digital representations of actual sediment from the Rhine river, we first study packings that are composed of particles with a single form. There, porosity is found to be mainly determined by the inverse equancy, i.e., the ratio of the longest to the smallest form-defining axis. Only for small ratios, additional shape-related properties become relevant, as revealed by a direct comparison to packings of form-equivalent but smooth ellipsoids. Since sediment naturally features form mixtures, we extend our simulation tool to study sediment packings with normally-distributed forms. In agreement with our single form studies, porosity is found to depend primarily on the inverse of the mean equancy. By supplying additional information about a second form factor and the standard deviations, we derive an accurate model for porosity prediction. Due to its simplicity, it can be readily applied to sediment packings for which some measurements of flatness and elongation, the two most common form factors, are available.

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来源期刊
Granular Matter
Granular Matter Materials Science-General Materials Science
CiteScore
4.60
自引率
8.30%
发文量
95
审稿时长
6 months
期刊介绍: Although many phenomena observed in granular materials are still not yet fully understood, important contributions have been made to further our understanding using modern tools from statistical mechanics, micro-mechanics, and computational science. These modern tools apply to disordered systems, phase transitions, instabilities or intermittent behavior and the performance of discrete particle simulations. >> Until now, however, many of these results were only to be found scattered throughout the literature. Physicists are often unaware of the theories and results published by engineers or other fields - and vice versa. The journal Granular Matter thus serves as an interdisciplinary platform of communication among researchers of various disciplines who are involved in the basic research on granular media. It helps to establish a common language and gather articles under one single roof that up to now have been spread over many journals in a variety of fields. Notwithstanding, highly applied or technical work is beyond the scope of this journal.
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