Statistical mechanical considerations on the random packing of granular materials

粒状材料 沃罗诺图 统计物理学 原子堆积因子 球形填料 概率密度函数 剪切(物理) 统计力学 数学 概率分布 几何学 物理 材料科学 热力学 统计 复合材料 核磁共振
作者
Mohsen Shahinpoor
出处
期刊:Powder Technology [Elsevier]
卷期号:25 (2): 163-176 被引量:70
标识
DOI:10.1016/0032-5910(80)87027-6
摘要

The historical development on the random packing of granular materials is briefly discussed. The geometrical probability space for granular packings is then introduced and the significance and relevance of characteristic microelements, i.e. 'Voronoi polyhedra', is elaborated upon. The classical statistical mechanical theory based on Boltzmann's postulate is remodeled and applied to a collection of 'Voronoi cells' in the form of routine ensemble phase averages. The exact probability density functions for the distribution of void ratios in a random aggregate of granular materials are then found to be exponential and the associated partition functions are obtained. The statistical entropy is shown to be a global maximum for the 'loose random packing' state which is also equivalent to the critical state reached in simple shearing of such aggregates. At such states the distribution density is shown to be uniform. Furthermore, it is shown that for random close packings the distribution density is skewed towards the denser 'Voronoi cells'. Exact expressions are given for the expected values of the critical void ratios as well as critical porosities for random loose packing states of both three- and two-dimensional granular aggregates. Similar to three-dimensional packings, it is shown that there exist two critical porosities for the random two-dimensional packing; one corresponding to random loose packing for which ncr ≈ 0.160 and another for random close packing for which ncr ≈ 0.111. Finally, in an Appendix, the connections between the statistical mechanical considerations, the information theoretic considerations, and Jayne's postulate on minimally biased distribution are presented.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
852应助ljx采纳,获得10
1秒前
周LL发布了新的文献求助10
1秒前
轨迹应助阿尔法采纳,获得20
1秒前
大力的枫叶完成签到,获得积分10
3秒前
深情的嘉熙完成签到,获得积分10
3秒前
Yang_Tianyu完成签到,获得积分10
3秒前
李健的小迷弟应助Wang采纳,获得10
4秒前
4秒前
4秒前
4秒前
Tree_完成签到,获得积分10
5秒前
5秒前
5秒前
wanci应助正直幻梦采纳,获得10
5秒前
7秒前
酷波er应助smyp采纳,获得10
7秒前
大佬发布了新的文献求助10
8秒前
大白菜完成签到,获得积分10
8秒前
科研通AI6.2应助蟹鱼橙子采纳,获得10
9秒前
9秒前
马瑜笛发布了新的文献求助10
9秒前
Gakay发布了新的文献求助10
9秒前
wanci应助Zllu采纳,获得10
10秒前
12秒前
研友_VZG7GZ应助周LL采纳,获得10
12秒前
粥粥发布了新的文献求助10
12秒前
13秒前
13秒前
假装沉默完成签到 ,获得积分20
14秒前
14秒前
雀巢咖啡发布了新的文献求助10
15秒前
15秒前
517完成签到 ,获得积分10
15秒前
Shiyuzz完成签到 ,获得积分10
17秒前
小马甲应助家欣采纳,获得10
19秒前
20秒前
上官若男应助哆哆采纳,获得10
20秒前
假装沉默发布了新的文献求助10
21秒前
Connell发布了新的文献求助10
23秒前
秋蚓完成签到 ,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5912187
求助须知:如何正确求助?哪些是违规求助? 6831436
关于积分的说明 15785215
捐赠科研通 5037204
什么是DOI,文献DOI怎么找? 2711599
邀请新用户注册赠送积分活动 1661950
关于科研通互助平台的介绍 1603905