Influence of rock mass properties on tunnel inflow using hydromechanical numerical study

被引:0
|
作者
Mostafa Sharifzadeh
Sahereh Karegar
Masoud Ghorbani
机构
[1] Amirkabir University of Technology (Tehran Polytechnic),Department of Mining, Metallurgy and Petroleum Engineering
来源
关键词
Water inflow; Tunnel; Hydromechanical analysis; Distinct element modeling;
D O I
暂无
中图分类号
学科分类号
摘要
One of the primary geotechnical problems encountered during tunnel construction involves the inflow of groundwater into the tunnel. Heavy inflows make tunnel construction difficult and result in higher costs and delays in construction period. Therefore, it is essential to estimate the volume and rate of water inflow that is likely to appear in the tunnel. In this research, water inflow to the tunnel was calculated using numerical hydromechanical analysis. Effect of rock mass properties including fracture characteristics (normal and shear stiffness, hydraulic aperture, dilation angle, and fracture nonlinear behavior) on inflow was studied using a two-dimensional distinct element method. Results show that fracture properties play important role in inflow to the tunnel and must be considered in prediction of inflow to the tunnel. Based on numerical analysis results, inflow of groundwater into the tunnel increases with the increasing of normal and shear stiffness, dilation angle, and hydraulic aperture of rock mass fractures. The measured inflow with considering nonlinear fracture behavior was more than the calculated inflow with linear constitutive behavior.
引用
收藏
页码:169 / 175
页数:6
相关论文
共 50 条
  • [31] Analytical and numerical approach for tunnel face advance in a viscoplastic rock mass
    Roatesi, Simona
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2014, 70 : 123 - 132
  • [32] Effect of the rock mass disturbance due to the tunnel excavation on the tunnel loading, based on numerical simulation
    Georgiou, D.
    Benardos, A.
    Nomikos, P.
    PROCEEDINGS OF THE ITA-AITES WORLD TUNNEL CONGRESS 2023, WTC 2023: Expanding Underground-Knowledge and Passion to Make a Positive Impact on the World, 2023, : 569 - 577
  • [33] Numerical investigation of geostress influence on the grouting reinforcement effectiveness of tunnel surrounding rock mass in fault fracture zones
    Xu, Xiangyu
    Wu, Zhijun
    Weng, Lei
    Chu, Zhaofei
    Liu, Quansheng
    Zhou, Yuan
    JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2024, 16 (01) : 81 - 101
  • [34] Study on the stability of the red clay rock mass of a tunnel
    Gong Gupei
    Dou Wanhe
    Wang Defa
    EUROCK 2005: IMPACT OF HUMAN ACTIVITY ON THE GEOLOGICAL ENVIRONMENT, 2005, : 169 - 171
  • [35] Effects of fracture-system geometrical parameters on the inflow rate into a tunnel in rock: a numerical modelling experiment
    Shahbazi, Alireza
    Saeidi, Ali
    Chesnaux, Romain
    Rouleau, Alain
    QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY, 2023, 56 (02)
  • [36] Study on failure of rock mass around deep tunnel
    Qian, Yuehong
    Cheng, Tingting
    Cao, Xiangming
    Song, Chunming
    ARCHITECTURE AND BUILDING MATERIALS, PTS 1 AND 2, 2011, 99-100 : 370 - +
  • [37] A study of hydromechanical behaviours of rock joints using torsional shearing system
    Cheon, DS
    Lee, HK
    Jeon, S
    Lee, CI
    FRONTIERS OF ROCK MECHANICS AND SUSTAINABLE DEVELOPMENT IN THE 21ST CENTURY, 2001, : 185 - 188
  • [38] Prediction of TBM penetration rate using intact and mass rock properties (case study: Zagros long tunnel, Iran)
    Mohammadi, S. D.
    Torabi-Kaveh, M.
    Bayati, M.
    ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (06) : 3893 - 3904
  • [39] Prediction of TBM penetration rate using intact and mass rock properties (case study: Zagros long tunnel, Iran)
    S. D. Mohammadi
    M. Torabi-Kaveh
    M. Bayati
    Arabian Journal of Geosciences, 2015, 8 : 3893 - 3904
  • [40] Experimental and Numerical Study on Anchorage Strength and Deformation Properties of Blocky Rock Mass
    Zhu, Junfu
    Yin, Qian
    Jing, Hongwen
    Shi, Xinshuai
    Chen, Minliang
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2020, 125 (02): : 725 - 753