岩土力学 ›› 2022, Vol. 43 ›› Issue (S2): 469-476.doi: 10.16285/j.rsm.2022.0432

• 岩土工程研究 • 上一篇    下一篇

山区公路弃渣颗粒组成与休止角的统计分组特征及工程应用

田明1,邹云丽1,肖羚1,谷梅花1,尹小涛2   

  1. 1. 大理大漾洱云高速公路有限公司,云南 大理 671000;2. 中国科学院武汉岩土力学研究所 岩土力学与工程国家重点实验室,湖北 武汉 430071
  • 收稿日期:2022-04-02 修回日期:2022-05-17 出版日期:2022-10-10 发布日期:2022-10-09
  • 通讯作者: 尹小涛,男,1975年生,博士,副研究员,硕士生导师,主要从事工程防灾减灾方面的研究。E-mail: yxt9406@163.com E-mail:654836060@qq.com
  • 作者简介:田明,男,1976年生,学士,高级工程师,主要从事高速公路工程施工和建设管理工作。
  • 基金资助:
    云南省交通科技项目(No.云交科教便[2020]98号);交通运输部科技示范项目(No.2017-09)。

Statistical classification features of particle composition and angle of repose of mountainous highway earth-rock mixed waste slag and its application

TIAN Ming1, ZOU Yun-li1, XIAO Ling1, GU Mei-hua1, YIN Xiao-tao2   

  1. 1. Dalidayangeryun Highway Company Limited, Dali, Yunnan 671000, China; 2. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
  • Received:2022-04-02 Revised:2022-05-17 Online:2022-10-10 Published:2022-10-09
  • Supported by:
    This work was supported by the Yunnan Traffic Science and Technology Project ([2020] 98) and the Science and Technology Demonstration Project of Ministry of Transport, PRC (2017-09).

摘要: 山区公路土石混合弃渣颗粒组成的复杂性和人工堆积特征造成其工程特性难以准确测定和量化分类。利用工程大数据统计分析为量化分类提供标准和界限依据,细化弃渣分类为弃渣工程科学设计及安全防护提供支撑。依托山区高速公路多个核心弃渣场多部位多阶段土石混合弃渣的颗粒组成和天然休止角测量,形成土石混合弃渣基本特征大数据;利用工程数据统计分析山区公路弃渣的颗粒组成与休止角的分组特征,所得主要结论如下:(1)山区公路弃渣具有显著的分组特征,利用粗细比k将弃渣分为土类弃渣(k<0.3)、土石混合弃渣( k为 0.3~1.4)和石类弃渣(k>1.4)。(2)山区公路土石混合弃渣细粒占比较低,以粗粒为主。弃渣粗细比为N(0.85,0.338 9)正态分布,休止角为N(37.64,3.057 8)正态分布,土类弃渣休止角<32.6º,土石混合弃渣休止角为 32.6º~42.7º,石类弃渣休止角>42.7º,分类及参数建议解决了取样代表性难题和结果离散性问题。(3)根据无黏性土边坡稳定性系数计算公式,结合弃渣分类和不同等级弃渣场安全系数标准,计算得到不同类弃渣控制坡率,土类弃渣控制坡率 ≤1:2,土石混合弃渣控制坡率 ≤1:1.75,石类弃渣控制坡率 ≤1:1.5,经跟踪检验,发现建议坡率下弃渣边坡中长期稳定可以得到有效保障。上述研究可以为山区公路弃渣场动态设计提供基础数据,具有较强的工程类比价值,有利于形成地区经验值。

关键词: 山区公路土石混合弃渣, 颗粒组成, 休止角, 粗细比, 控制坡率, 分组特征, 工程大数据

Abstract: It is difficult to accurately measure and quantitatively classify mountainous highway earth-rock mixed waste slag caused by their complexity and man-made accumulation characteristics. Standard and threshold values for quantitative classification are presented by big data for engineering. Subdivision of waste slag is conducive to scientific design and safe protection. Depending on measured particle composition and angle of repose of the multi-phase, multi-position waste slag at several key slag sites in mountainous highway areas, the big data base of earth-rock mixed waste slag is formed. Subgroup features of mountainous highway waste slag composition and angle of repose are statistically analyzed by these engineering data. Main conclusions are drawn as follows: 1) The big data for engineering prove that mountainous highway waste slag has obvious subgrouping characteristics. Using coarse-fine ratio k, the waste slag is divided into three types such as earth-type waste slag, whose k is less than 0.3, earth-rock mixed one, whose k is larger than 0.3 and less than 1.4, and rock-type one, whose k is larger than 1.4. 2) Fine particle proportion of mountainous highway waste slag is less and the coarse particles are the dominant. Probability distribution of waste slag’s coarse-to-fine ratio is N(0.85, 0.338 9), and that of waste slag’s natural angle of repose is N(37.64, 3.057 8). The angle of repose of earth-type waste slag is less than 32.6º, that of earth-rock mixed one is larger than 32.6º and less than 42.7º, that of rock-type one is larger than 42.7º. The classification solves problems of sampling and test results’ representativeness. 3) The controlled slope ratios for different types of waste slag are obtained using the formula of safety factor for cohesionless slope, classification and safety factor for different grade slag sites. The controlled slope ratio of earth-type waste slag is less than or equal to 1:2, that of earth-rock mixed one is less than or equal to 1:1.75, and that of rock-type one is less than or equal to 1:1.5. It is found that medium and long stability of the slope can be ensured under these slope ratios suggested. The above conclusions can present basic parameters for dynamic design of mountainous highway waste slag engineering, has remarkable engineering analogy value, and is conducive to forming regional experiences.

Key words: mountainous highway earth-rock mixed waste slag, particle composition, angle of repose, coarse-to-fine ratio, controlled slope ratio, subgrouping feature, big data for engineering

中图分类号: TU457
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