Application and analysis of matrix-structuring coefficient for graded
aggregates used in heavy-haul railway subgrade surface

CHEN Xiao-bin; YU Zhao-sheng; GUANG Chao; ZHANG Jia-sheng; DONG Liang

doi:10.16285/j.rsm.2019.1250

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Application and analysis of matrix-structuring coefficient for graded aggregates used in heavy-haul railway subgrade surface

更新时间：2026-06-25

- Application and analysis of matrix-structuring coefficient for graded aggregates used in heavy-haul railway subgrade surface
- Vol. 41, Issue 9, Pages: 3031-3040(2020)
- 作者机构：
  
  1. 中南大学土木工程学院,湖南,长沙,410075
  2. 中南大学教育部重载铁路工程结构重点实验室,湖南,长沙,410075
  3. 中国铁道科学研究院,北京,100081
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2019.1250
  CLC： U213.1
- Online First：21 October 2020，
  
  Published：2020
- 稿件说明：
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CHEN Xiao-bin, YU Zhao-sheng, GUANG Chao, et al. Application and analysis of matrix-structuring coefficient for graded aggregates used in heavy-haul railway subgrade surface[J]. 2020, 41(9): 3031-3040.
DOI：

CHEN Xiao-bin, YU Zhao-sheng, GUANG Chao, et al. Application and analysis of matrix-structuring coefficient for graded aggregates used in heavy-haul railway subgrade surface[J]. 2020, 41(9): 3031-3040. DOI： 10.16285/j.rsm.2019.1250.

摘要

传统级配曲线不能直观展现碎石填料内部物理组构信息，重载铁路基床表层级配碎石填料设计缺少实用的优化目标参数。引入对数几率回归函数将传统积分级配曲线进行了转换，定义了能直观展现碎石填料内部物理组构信息的组构系数R概念。基于对数几率回归函数级配曲线方程，推导了组构系数的数学表达式，并分析了参数的敏感性，进而将组构系数作为优化目标，提出了重载铁路基床表层级配碎石填料级配的组构系数优化方法。通过重载铁路基床表层级配碎石填料击实试验、大型直剪试验、渗透性试验以及对其他工程材料的应用，验证了组构系数方法的可行性。应用研究表明：组构系数R能够定量描述材料组构信息；重载铁路基床表层级配碎石填料的最优组构系数值在21.17～22.08之间。

Abstract

The physical and mechanical properties of aggregates are determined by their internal physical matrix-structuring

which cannot be directly demonstrated by traditional gradation curves. Also

there is a lack of optimal target function in designing of graded aggregates used in heavy-haul railway subgrade surface. This study established a grading curve model based on logarithmic probability regression equation and transformation of traditional gradation integral curve

and proposed a coefficient of matrix-structuring ‘R’. The mathematical expression of R was derived and the sensitivity of related parameters was analyzed. Based on the physical meaning of R

a practice engineering approach to optimize graded aggregates used in heavy-haul railway subgrade surface was proposed with the target of optimizing R. The feasibility of the proposed approach was verified by compaction test

large direct shear test and permeability test. The optimal value of R was determined by experimentation and optimization

between 21.17 and 22.08. Findings in this study provide reference for gradation optimization designing of graded aggregates used in heavy-haul railway subgrade surface.

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