Advanced Numerical Simulation of Rock Joints Load Transfer Mechanisms Under Various Geotechnical Conditions

Kumar, Niraj Nitesh (2024) Advanced Numerical Simulation of Rock Joints Load Transfer Mechanisms Under Various Geotechnical Conditions. [USQ Project]

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Abstract

Joints in a rock mass have a significant effect on the shear strength and deformation properties of the rock mass. Different experimental research projects have been performed since the last decades on the rock joints using the conventional direct shear apparatus under constant normal load (CNL), where the normal stress which acts on the joint was assumed to be constant during the shearing process. Moreover, recently a number of experimental research studies have been dedicated to shear strength of rock joints under constant normal stiffness conditions (CNS) where the dilation is not freely permitted during shearing. Despite the significant number of experimental studies on this topic, yet and to the best of authors’ knowledge, there is no holistic and systematic numerical studies to investigate the shear load transfer mechanisms of rock. Hence, this project aims to investigate shear strength properties of rock joints under various geotechnical conditions for joints having various roughness distribution. The following items are studies numerically as part of this investigation:

• Effects of normal load on shear strength of rock joints
• Effects of joint roughness on shear strength of rock joints
• Effects of boundary conditions on shear load transfer mechanisms of rock joints
• Effects of shearing rate on shear strength of rock joints
• Effects of meshing size on shear strength of rock joints
• Scale and model size effects on shear strength of rock joints, and
• Effects of rock bolts on shear strength of rock joints

The study is conducted using two-dimensional distinct element code known as UDEC. Initially, available experimental data sets in literature are digitised. Subsequently, the collected data sets are simulated numerically using the developed subroutine programs. The above-mentioned items then will be investigated once the numerical model is calibrated using the digitised data from literature.


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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Supervisors: Mirzaghorbanali, Ali
Qualification: Bachelor of Engineering (Honours) (Civil)
Date Deposited: 07 Jan 2026 05:17
Last Modified: 07 Jan 2026 05:17
URI: https://sear.unisq.edu.au/id/eprint/53070

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