Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/119279
Title: Underground Excavation in Jointed Rocks
Authors: JIAO XUGUANG
Keywords: Kent distribution, Fisher distribution, probabilistic analysis, rock joint, probability of failure, Monte Carlo simulation
Issue Date: 15-Aug-2014
Citation: JIAO XUGUANG (2014-08-15). Underground Excavation in Jointed Rocks. ScholarBank@NUS Repository.
Abstract: The characteristics of unstable rock block define the magnitude of rock support and reinforcement required in the design of underground rock excavations. Variation in rock parameters may result in uncertainties on the identification of these unstable rock blocks. In view of the above, this study aims to investigate the effects of variation in rock parameters on rock block identification. Reliability-based design with probability of failure is adopted to evaluate the stability of rock block in underground excavations. The effects of scatter of various rock parameters are examined in detail using Monte Carlo simulation. Rock parameters are simulated in a systematic manner. A parametric study has been conducted and the results show that joint set concentration, ovalness and position have significant effects on the failure mode and volume of unstable rock blocks.
URI: http://scholarbank.nus.edu.sg/handle/10635/119279
Appears in Collections:Master's Theses (Open)

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