Application of Synthetic Rock Mass modeling to veined core-size samples

Vallejos, Javier; Suzuki, Kimie; Brzovic, Andrés; Ivars, Diego Mas

doi:10.1016/j.ijrmms.2015.11.003

Cited by 44 publications

(13 citation statements)

References 25 publications

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“…Table 1 shows the microparameters in the particle ow simulation, which a ect the macrobehaviors of the numerical sample and should be determined via the trial-anderror method. According to previous studies [20,21,22], ve microparameters, i.e., parallel bond Young's modulus, linearly contacted bonded Young's modulus, ratio of normal to shear sti ness, magni cation factor of the strength ratio, and friction angle, have signi cant e ects on the behavior of rock samples. In addition, other microparameters, e.g., radius multiplier, maximum-to-minimum grain diameter ratio, and density, can be determined empirically using the references.…”

Section: Calibration Of Micromechanical Parametersmentioning

confidence: 99%

“…Wu and Xu [20] believed that any parameters in any calibration step will affect each other in terms of the macroresponse and hence developed a program to iteratively calibrate the contact parameters. Vallejos et al [21,22] developed an interactive calibration program that can change the contact parameters in real time until the parameters best predicting the macromechanical behavior are obtained.…”

Section: Introductionmentioning

confidence: 99%

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A Multicomponent Particle Model and Linear Fitting Calibration Method for Heterogeneous Rocks

Guo

Zhang

et al. 2019

Advances in Civil Engineering

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Deformation and failure of rock are very important to underground space engineering. In this paper, a new three-dimensional multicomponent bonded-particle model is developed for heterogeneous rocks. Granite samples from the Sanshandao Gold Mine are first analyzed using a microscope. Cylindrical and disc models consisting of four minerals (i.e., plagioclase, potash feldspar, quartz, and biotite) are built to simulate the behavior of the granite under compressive and tensile tests. To improve the calibration efficiency, a new method for determining the microparameters of minerals is proposed. Uniaxial compression, triaxial compression, and Brazilian tests are carried out in the lab. The failure pattern and stress-strain curves are obtained from numerical simulations and verified with those observed in the experiments. Furthermore, the Mohr–Coulomb and Hoek–Brown strength parameters are obtained and compared with the experimental results. The multicomponent particle model is shown to well reproduce the behavior of granite under the compressive and tensile tests. The multicomponent bonded-particle model significantly improves the accuracy of three parameters: the ratio of tensile strength to uniaxial compressive strength, the friction angle, and the parameter mi of the Hoek–Brown criterion. The linear fitting calibration method provides a fast and efficient way to determine the microparameters of particles in heterogeneous rocks.

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Section: Calibration Of Micromechanical Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multicomponent Particle Model and Linear Fitting Calibration Method for Heterogeneous Rocks

Guo

Zhang

et al. 2019

Advances in Civil Engineering

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“…Ideally, to define the exponent k, a series of large UCS tests are required to capture the variability of strength with size. Apart from the case studies summarised by Yoshinaka et al (2008) to fit the exponent k, other examples include the works by Pierce et al (2009), Smith and Habte (2011) and Vallejos et al (2016).…”

Section: Effect Of Scale and Defects On Ucsmentioning

confidence: 99%

Refined Approaches for Estimating the Strength of Rock Blocks

et al. 2019

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Micro-discrete fracture networks (lDFNs) have been integrated into grain-based models (GBMs) within the numerical software UDEC to assess rock block strength through a series of unconfined compressive strength (UCS) tests of progressively larger in size numerical specimens. GBMs were generated by utilizing a Voronoi tessellation scheme to capture the crack evolution processes within the intact rock material, and lDFNs were separately created and embedded into the GBMs to simulate the effect of preexisting defects. Various lDFNs realisations were generated stochastically within the software FracMan to assess the combined impact of defect intensity, persistence, strength and specimen size. The resulting synthetic rock block models were used to assess the ''flawed'' material strength at block scale through a rigorous sensitivity numerical analysis. The acquired results predict a progressive strength reduction with decreasing intact rock quality and certain trends are captured when rock block strength is expressed as a function of a newly proposed ''Defect Intensity9 Persistence'' factor. This allow us to standardise the data along specific strength reduction envelopes and to propose generic relationships that cover a wide range of defect geometrical combinations, defect strengths and sample sizes. Accordingly, an attempt is undertaken to refine two existing empirical approaches that consider the effect of scale and micro-defects explicitly for predicting the UCS of rock blocks. Keywords Rock block strength Á Scale effect Á Preexisting defects Á Synthetic rock block Á UDEC Á FracMan A. Stavrou (&) Á I. Vazaios

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“…Randomized modeling of the discrete fracture network stem from percolation studies the application domain of which was extended in rock engineering by some researchers, including Long et al [3], Beacher [4], Andersson et al [5], and Dershowitz and Einstein [6]. The discrete fracture network models have also been developed and employed by Robinson [7], Dershowitz [8], Long [9], Rouleau [10], Long and Witherspoon [11], Long and Billaux [12], Schwartz et al [13], Schwartz and Smith [14], Long et al [15], Lie et al [16], Sanderson and Nixon [17], Cacas et al [18], Dreuzy et al [19], Elmo and Stead [20], Mauldon and Dershowitz [21], Wang [22], Dershowitz [23], Decker et al [24], Zhang [25], Jin et al [26], Jin et al [27], Mayer and Stead [28] Gao and Kang [29], Vallejos [30], Zhang and Zhao [31], Lie [32], Lie et al [33], Zou et al [34], Wang [35], Lie and Wang [36], Tsang et al [37], Lie et al [38], Brzovic et al [39].…”

Section: Introductionmentioning

confidence: 99%

Shape Effect of Fractures on Intensity and Density of Discreet Fracture Networks

Esmaeilzadeh

Shahriar

2019

Period. Polytech. Civil Eng.

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Fractures are amongst the most important factors determining the behavior of rock masses. The lack of direct access to the real fractures' distribution leads to the use of indirect methods for their study. The generation of the discrete fracture network is one of the most common indirect methods. Fractures' shape is one of the most important properties that the simulation of which is of great help in studying the fracture network. A wide range of shapes which include from infinite plates to elliptical shape have been suggested for the simulation of fractures. The present paper makes use of the data collected from the pumped-storage power plant and dam project in Roudbar, Lorestan Province, to provide circular and elliptical network of discrete fractures; moreover, the parameters as density, intensity and the real mean value of the length of the fracture traces have been used to evaluate the effect and accuracy of the selected shapes. Following the implementation of the proposed method, it was made clear that the elliptical discrete fracture network, with a mean error value of 13.5 %, outperforms the circular disk discrete fracture network, with a mean error value of 27.5 %; hence, it was found providing more accurate results for the description of the fractures network in the aforementioned region.

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Application of Synthetic Rock Mass modeling to veined core-size samples

Cited by 44 publications

References 25 publications

A Multicomponent Particle Model and Linear Fitting Calibration Method for Heterogeneous Rocks

A Multicomponent Particle Model and Linear Fitting Calibration Method for Heterogeneous Rocks

Refined Approaches for Estimating the Strength of Rock Blocks

Shape Effect of Fractures on Intensity and Density of Discreet Fracture Networks

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