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Numerical simulation of the influence of small-scale defects on the true-triaxial strength of rock samples
Institution:1. Division of Land and Water Resources Engineering (LWR), Royal Institute of Technology (KTH), Stockholm, Sweden;2. Division of Mining Engineering, Engineering Department, University of Kashan, Kashan, Iran;1. Southeast University, C-210096 Nanjing, China;2. Mines Douai, LGCgE-GCE, F-59508 Douai, France;3. Université de Lille, F-59650 Lille, France;4. Hohai University, C-210098 Nanjing, China;1. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China;2. University of Chinese Academy of Sciences, Beijing 100049,China;3. School of Civil Engineering and Architecture, Nanchang University, Nanchang, Jiangxi 330031, China
Abstract:A numerical model is used to investigate the influence of randomly located ‘defects’ on the strength of rock samples with a Mogi–Coulomb three-dimensional failure criterion that are subjected to polyaxial states of stress. A methodology is presented to compute ‘equivalent’ Mohr–Coulomb strength parameters as a function of the ‘instantaneous’ stress, and sensitivity analyses are employed to study the influence of the stress state, of the total percentage of defects, and of the type of spatial distribution of defects within the sample. Results indicate that increments of strength due to the intermediate principal stress are less relevant for samples with defects, hence suggesting that the influence of polyaxial stress states is less significant for rock masses (that incorporate ‘defects’ or ‘discontinuities’ into their structure) than for intact rock. Results also indicate that the strength of rock with defects can be modelled as a ‘homogeneous’ material with reduced strength properties. The reduction factors are a linear function of the percentage of defects, and they tend to be greater for “lumped” defects than for “isolated” defects.
Keywords:Polyaxial rock strength  Mogi  Failure criteria  Numerical analysis  Finite differences
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