Morphology characteristics of gravel particle and its relationship with
stacking void ratio

LIU Gang; ZHAO Ming-zhi; LU Rui; LUO Qiang; LÜ Chao

doi:10.16285/j.rsm.2018.2287

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Morphology characteristics of gravel particle and its relationship with stacking void ratio

更新时间：2026-06-25

- Morphology characteristics of gravel particle and its relationship with stacking void ratio
- Vol. 40, Issue 12, Pages: 4644-4651(2019)
- 作者机构：
  
  1. 西华大学土木建筑与环境学院,四川,成都,610039
  2. 西南交通大学高速铁路线路工程教育部重点实验室,四川,成都,610031
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2018.2287
  CLC： TU451
- Online First：03 January 2020，
  
  Published：2019
- 稿件说明：
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LIU Gang, ZHAO Ming-zhi, LU Rui, et al. Morphology characteristics of gravel particle and its relationship with stacking void ratio[J]. 2019, 40(12): 4644-4651.
DOI：

LIU Gang, ZHAO Ming-zhi, LU Rui, et al. Morphology characteristics of gravel particle and its relationship with stacking void ratio[J]. 2019, 40(12): 4644-4651. DOI： 10.16285/j.rsm.2018.2287.

摘要

颗粒形态对碎石集料宏观力学性质有显著影响，准确描述其形态特征是从微细观层面研究材料宏观力学行为的基础性工作。针对颗粒形状、棱角、纹理3个尺度的形态特征，探讨了基于颗粒几何尺寸的量化表征参数；分析了不同粒组碎石颗粒形态特征表征参数的分布规律；结合单粒组颗粒堆积试验，讨论了颗粒形态特征与堆积孔隙率的关系。有以下结论：（1）提出的以周长为核心表征的颗粒形态特征量化参数，对颗粒形态以及形状、棱角、纹理3个尺度形态特征具有较好甄选能力；（2）基于每个粒组1 000个颗粒样本统计分析表明，描述颗粒形态及形状、棱角、纹理特征的参数均符合对数正态分布；（3）颗粒集合体的综合棱角、纹理指数与松堆和密堆条件下的孔隙率具有较好的映射关系，颗粒棱角与纹理是影响堆积孔隙率的主控因素。

Abstract

Researches show that the particle morphology has a significant effect on the macro-mechanical properties of gravel aggregates. Accurately describing the morphological characteristics of particles is the foundation work for studying the macro-mechanical behaviour of materials from a micro-mesoscopic level. Firstly

the quantitative characterisation parameters of particle morphology were discussed based on the three-scale morphological characteristics of particle shape

angularity and surface texture. Then

the distribution rule of these parameters was analysed for different grain groups. Finally

the relationship between the particle morphology characteristics and the stacking porosity was discussed. The main conclusions are 1) The proposed quantification parameters with the perimeter as the core characterisation can better reflect and distinguish the particle morphology

as well as its shape

angularity and surface texture; 2) According to the statistical analysis of 1 000 particle samples in each group

the parameters describing the particle morphology

shape

angularity and surface texture all conform to a logarithmic normal distribution; 3) The comprehensive angularity index and surface texture index of particle aggregates present a good mapping relationship with the stacking porosity in both loose and dense states

and they are the main controlling factors on stacking porosity.

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