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隧道建设(中英文) ›› 2019, Vol. 39 ›› Issue (11): 1848-.DOI: 10.3973/j.issn.2096-4498.2019.11.013

• 研究与探索 • 上一篇    下一篇

复合地层中不同盾构掘进参数下碴土的颗粒特征研究

郭浩阳1, 彭国峰2, 韩爱民1, 李彤3, 4, 5, 陈冬6, 程荷兰3, 4, 5, 陈冲6, 景凤1   

  1. (1. 南京工业大学岩土工程研究所, 江苏 南京 210009; 2. 南京晓庄学院基本建设处, 江苏 南京 211171;3. 江苏省地质矿产局第一地质大队, 江苏 南京 210041; 4. 南京坤拓土木工程科技有限公司,江苏 南京 210041; 5. 江苏省隧道与地下工程技术研究中心, 江苏 南京 210041;6. 中交隧道工程局有限公司, 北京 100102)
  • 收稿日期:2018-11-14 出版日期:2019-11-20 发布日期:2020-04-04
  • 作者简介:郭浩阳(1994—),男,安徽滁州人,南京工业大学建筑与土木工程专业在读硕士,研究方向为盾构掘进。 Email: 506981478@qq.com。
  • 基金资助:
    中交一公局集团科技研发A级课题(KJYF-2018-05); 江苏省地质矿产勘查局科技创新课题(2016-KY-1); 中国中交隧道工程局重点科研项目(SDKJ2014-005)

Particle Characteristics of Muck of Composite Strata under Different Shield Tunneling Parameters

GUO Haoyang1, PENG Guofeng2, HAN Aimin1, LI Tong3, 4, 5, CHEN Dong6, CHENG Helan3, 4, 5, CHEN Chong6, JING Feng1   

  1. (1. Institute of Geotechnical Engineering, Nanjing Tech University, Nanjing 210009, Jiangsu, China; 2. Department of Capital Construction, Nanjing Xiaozhuang University, Nanjing 211171, Jiangsu, China; 3. The 1st Geological Brigade of Jiangsu Geology & Mineral Exploration Bureau, Nanjing 210041, Jiangsu, China; 4. Nanjing Kentop Civil Engineering Co., Ltd., Nanjing 210041, Jiangsu, China; 5. Tunnel and Underground Engineering Research Center of Jiangsu Province, Nanjing 210041, Jiangsu, China; 6. CCCC Tunnel Engineering Company Limited, Beijing 100102, China)
  • Received:2018-11-14 Online:2019-11-20 Published:2020-04-04

摘要: 为定量研究盾构掘进复合地层时掘进参数对碴土颗粒级配特征的影响,以试验研究和统计分析为手段,得到掘进参数和颗粒特征之间的量化规律。首先,通过开展现场掘进试验,在不同有效推力和刀盘转速下实地采取碴样颗粒; 然后,对颗粒筛分结果进行统计分析,提出碴土颗粒级配预测方程; 最后,对级配预测方程的系数进行多元回归预测和影响性分析,定量研究方程系数和掘进参数之间的相关性。研究结果表明: 1)当盾构刀盘转速或盾构有效推力增大时,碴样特征粒径减小,碴土中的粗颗粒含量降低,细颗粒含量增大,碴样粒度分布范围增宽; 2)碴土颗粒的粒径存在上限,RosinRammler分布函数更加适用于盾构破岩颗粒级配特征分析; 3)在一定掘进参数范围内,盾构碴土颗粒级配方程系数的预测模型预测精度较高,能够较好地反映工程实践中掘进参数对方程系数的影响。

关键词: 盾构, 复合地层, 掘进参数, 碴土, 颗粒特征, 级配曲线方程

Abstract: In order to study the quantitative relationship between shield tunneling parameters in composite strata on the particle characteristics of muck, the experimental study and statistical analysis are conducted. Firstly, the muck sample particles are collected in field shield tunneling test under different effective thrust forces and rotation speeds of cutterhead. And then the statistical analysis of particle screening results is carried out, and the prediction equation of particle grading of muck is proposed. Finally, the multiple regression prediction and influence analysis are carried out for the coefficients of the grading prediction equation, and the correlation between the coefficients of the equation and the tunneling parameters is quantitatively studied. The results show that: (1) When the rotation speed of cutterhead or effective thrust force of shield increases, the characteristic particle size of muck sample decreases, the coarse particle 〖HJ2.7mm〗content in muck decreases, the fine particle content increases, and the particle size distribution range of muck sample widens. (2) The particle size of muck particles has an upper limit, and RosinRammler distribution function is more suitable for analyzing the grading characteristics of shield broken rock particles. (3) Within a certain range of tunneling parameters, the prediction model of particle grading equation coefficients of shield muck is more accurate, which can better reflect the influence of tunneling parameters on the equation coefficients in engineering practice.

Key words: shield, composite strata, tunneling parameters, muck, particle characteristic, gradation curve equation

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