Journal Published Online: 08 January 2019
Volume 48, Issue 6

An Improved Shear Stress Monitoring Method in Numerical Direct Shear Tests by Particle Flow Code

CODEN: JTEVAB

Abstract

During a direct shear test in particle flow code (PFC; Itasca Consulting Group, Minneapolis, MN) simulation, the initial force is often neglected by the existing methods of monitoring shear stress, which results in a difference between the monitoring data and simulation result. An improved monitoring method, which involves monitoring the resultant force on the left and right walls (specimen boundary) as the shear force, is proposed to monitor the shear stress in this study. The effectiveness of the proposed method is first investigated by comparing the monitoring results with the peak shear strength of sawtooth triangular joints with base angles of 0°, 15°, and 30° and joints with Barton’s standard joint roughness profiles (joint roughness coefficient (JRC) = 5.8, 10.8, and 14.5) as predicted by well-known classical shear models under different normal stress conditions. Additionally, the capabilities of the proposed monitoring method were tested by comparing it with the peak shear strength obtained from laboratory direct shear tests on a real rock joint (JRC = 1.0) under different normal stress levels. Good agreement was found between the results of the numerical models that used the proposed monitoring method and well-known classical shear models as well as laboratory direct shear tests. The proposed method has a highly accurate capacity for determining the shear stress in numerical direct shear tests by PFC. This method has advantages for assessing joints with low roughness coefficients under low normal stress conditions. The results reveal that the proposed method reasonably reflects the shear characteristics of rock joints in numerical direct shear tests. The proposed method also contributes to the calibration of microparameters for a smooth joint model to more accurately represent the rock joint.

Author Information

Jiang, Yaofei
Faculty of Engineering, China University of Geosciences, Wuhan, Hubei, China
Wang, Liangqing
Faculty of Engineering, China University of Geosciences, Wuhan, Hubei, China
Wu, Qiong
Faculty of Engineering, China University of Geosciences, Wuhan, Hubei, China
Sun, Zihao
Faculty of Engineering, China University of Geosciences, Wuhan, Hubei, China
Elmo, Davide
NBK Mining Department, University of British Columbia, Vancouver, BC, Canada
Zheng, Luobin
Faculty of Engineering, China University of Geosciences, Wuhan, Hubei, China
Pages: 17
Price: $25.00
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Details
Stock #: JTE20180018
ISSN: 0090-3973
DOI: 10.1520/JTE20180018