Simulating Strength Parameters and Size Effect of Stochastic Jointed Rock Mass using DEM Method

被引:23
|
作者
Ma, Chong [1 ]
Yao, Wenmin [2 ]
Yao, Yuan [2 ]
Li, Jun [2 ]
机构
[1] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Hubei, Peoples R China
[2] China Univ Geosci, Fac Engn, Wuhan 430074, Hubei, Peoples R China
关键词
stochastic jointed rock mass; numerical simulation; parameters of rock mass; size effect; FRACTURE; MODEL;
D O I
10.1007/s12205-017-1581-y
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The strength parameters and the size effect of stochastic jointed limestone rock mass is investigated in this paper. Based on extensive statistics of joint parameters of rock mass in the research region, the probable distribution of geometric characteristic parameters of discontinuities are obtained by the probability graph method. Then the Monte-Carlo method is used for discontinuities network modeling. In addition, 3DEC software and its built-in FISH programming language are used to establish the stochastic jointed rock mass network model based on discrete element method. Triaxial numerical simulation tests under variable confining pressure are conducted with different model sizes and dip angles of bedding planes. The numerical simulation results indicate that the jointed rock mass exhibits weak anisotropy property and significant size effect when it is cut by stochastic discontinuities; the mechanical strength parameters of rock mass begins to fluctuate distinctly as the model size increases, and tend to be stable once the model size reaches or exceeds 4 m x 4 m x 8 m. Besides, the comprehensive mechanical parameters of rock mass in the research region are determined and failure modes of rock mass are analyzed as well based on the numerical simulation results.
引用
收藏
页码:4872 / 4881
页数:10
相关论文
共 50 条
  • [21] A Strength Criterion for Deep Rock with Stochastic Fractures via DEM Simulations
    Jiang, Mingjing
    Liu, Asen
    Wang, Huaning
    Lu, Guowen
    Li, Lei
    KSCE JOURNAL OF CIVIL ENGINEERING, 2023, 27 (02) : 826 - 842
  • [22] Effect of parallel joint interaction on mechanical behavior of jointed rock mass models
    Yang, Xu-Xu
    Jing, Hong-Wen
    Tang, Chun-An
    Yang, Sheng-Qi
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2017, 92 : 40 - 53
  • [23] Deep Convolutional Neural Network-Based Method for Strength Parameter Prediction of Jointed Rock Mass Using Drilling Logging Data
    He, Mingming
    Zhang, Zhiqiang
    Li, Ning
    INTERNATIONAL JOURNAL OF GEOMECHANICS, 2021, 21 (07)
  • [24] Research on Zonal Disintegration Characteristics and Failure Mechanisms of Deep Tunnel in Jointed Rock Mass with Strength Reduction Method
    Chen, Baoping
    Gong, Bin
    Wang, Shanyong
    Tang, Chun'an
    MATHEMATICS, 2022, 10 (06)
  • [25] Particle Discrete Method Based on Manifold Cover for Crack Propagation of Jointed Rock Mass
    Ping, Yang
    Li, Shu-Chen
    Li, Shu-Cai
    Kou, Qiang
    Zhang, Lu-Chen
    Ma, Teng-Fei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [27] METHOD OF SIMULATING ROCK MASS STABILITY IN LABORATORY CONDITIONS USING EQUIVALENT MATERIALS
    Stupnik, M.
    Kalinichenko, V.
    Pysmennyi, S.
    Fedko, M.
    Kalinichenko, O.
    MINING OF MINERAL DEPOSITS, 2016, 10 (03): : 46 - 51
  • [28] Probabilistic back analysis of rock strength parameters in heavily jointed rock slopes based on Bayesian inference
    Zhang, Zhongxin
    Wu, Shunchuan
    Wang, Yankun
    Zhang, Huajin
    Han, Longqian
    ENVIRONMENTAL EARTH SCIENCES, 2024, 83 (10)
  • [29] Characterization of strength and damage of hard rock pillars using a synthetic rock mass method
    Zhang, Y.
    Stead, D.
    Elmo, D.
    COMPUTERS AND GEOTECHNICS, 2015, 65 : 56 - 72
  • [30] Investigation of the characteristics of rock fracture process zone using coupled FEM/DEM method
    Wu, Zhijun
    Ma, Liangliang
    Fan, Lifeng
    ENGINEERING FRACTURE MECHANICS, 2018, 200 : 355 - 374