Parametric study of smooth joint parameters on the mechanical behavior of transversely isotropic rocks and research on calibration method

Xia, Lei; Zeng, Yawu

doi:10.1016/j.compgeo.2018.01.012

Cited by 46 publications

(23 citation statements)

References 25 publications

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“…In the first step, the geometric coordinates of the 10 standard roughness joint profiles are acquired using image processing technology. In the second step, these joints are set into a numerical model of rock sample generated by the bonded particle method (BPM) in Particle Flow Code (PFC 2D ) and simulated by the modified smooth joint model (MSJM) [30][31][32][33][34][35][36][37][38][39][40] Figure 3.…”

Section: Proposed New Methods For Estimating Jrc Of Joint Profilementioning

confidence: 99%

“…is function has been verified to better simulate the mechanical properties of rough joints [33][34][35].…”

Section: Simulation Of Joint With Smooth Joint Modelmentioning

confidence: 99%

“…Before installing bond, particles with less than one contact were eliminated to produce a series of highly interlocked particles [33,34]. en, the bonded particle model (BPM) was installed at a contact point between all particles to simulate intact rock [30][31][32][33][34][35][36][37][38][39][40]. Discrete fractures network (DFN) was applied to input local geometric information including midpoint, dip angle, and length of joints [33-35, 39, 40].…”

Section: Simulation Of Joint With Smooth Joint Modelmentioning

confidence: 99%

“…Next, a suitable normal pressure was applied to the sample, and new contacts were generated between the particles of the upper and lower portions of the sample. Finally, the DFN was applied to determine the location of rough joint, and the smooth joint model is applied at DFN [33][34][35]40]. e joint sample established by the modified smooth joint model is shown in Figure 9.…”

Section: Simulation Of Joint With Modified Smooth Joint Modelmentioning

confidence: 99%

“…In the past ten years, numerical simulation is becoming more and more widely used in geotechnical engineering [29][30][31][32][33][34][35]. With the continuous innovation of computational mechanics, the discrete element method (DEM) in particulate and blocky systems has a rapid development [30][31][32][33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

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A New Method to Estimate the Joint Roughness Coefficient by Back Calculation of Shear Strength

Huan

Zhang

et al. 2019

Advances in Civil Engineering

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The joint roughness coefficient (JRC) is an important factor affecting the shear properties of rock joints, and its accurate estimation is a challenging task in rock engineering. Existing JRC evaluation approaches such as the empirical comparison method and the statistical parameter method have some unresolved defects. In this study, a new method is proposed for JRC estimation to overcome the deficiencies of existing approaches based on back calculation of shear strength. First, the 10 standard roughness joints are established in numerical rock samples generated by the bonded particle method (BPM). Secondly, the microscopic parameters of the intact rock and joints are calibrated, and a series of direct shear tests of joint samples are carried out under different normal stresses. Finally, the empirical relationships between shear strength and JRC are proposed under high correlation conditions. The results show that the modified smooth joint model (MSJM) is proved to better simulate the mechanical properties of rough joints than the smooth joint model (SJM). When the shear strength of target joint is substituted in the corresponding relationship, the JRC of joint along the shear direction can be conveniently obtained. In addition, the JRC values of 10 standard roughness joint profiles under shear direction of from right to left (FRTL) are obtained. By estimating the JRC of 9 target joints in the literature, it can be seen that the new method proposed in this paper can well reflect the directionality of roughness and it is convenient to apply.

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Section: Proposed New Methods For Estimating Jrc Of Joint Profilementioning

confidence: 99%

“…is function has been verified to better simulate the mechanical properties of rough joints [33][34][35].…”

Section: Simulation Of Joint With Smooth Joint Modelmentioning

confidence: 99%

Section: Simulation Of Joint With Smooth Joint Modelmentioning

confidence: 99%

Section: Simulation Of Joint With Modified Smooth Joint Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Method to Estimate the Joint Roughness Coefficient by Back Calculation of Shear Strength

Huan

Zhang

et al. 2019

Advances in Civil Engineering

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Three‐dimensional discrete element simulation of indirect tensile behaviour of a transversely isotropic rock

Yin

Cheng

et al. 2020

Num Anal Meth Geomechanics

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SummaryThis paper presents the development of a three‐dimensional discrete element model using flat‐joint and smooth‐joint contact models to investigate the effect of anisotropy on the tensile behaviour of slate, a transversely isotropic rock, under Brazilian testing from both macro and microscales. The effect of anisotropy is further realised by exploring the influence of foliation orientations (β and ψ) on the tensile strength, fracture pattern, microcracking and stress distribution of the transversely isotropic rock. The variation of tensile strength with foliation orientation is presented. The cross‐weak‐plane fracture growth observed in laboratory is reproduced, and the criterion for which to form is also given from the aspect of foliation orientation. Furthermore, the proportional variations of microcracks well account for the effects of foliation orientation on the tensile strength and failure pattern. Finally, it is found that the existence of weak planes increases both the heterogeneity and the anisotropy of stress distributions within the transversely isotropic rock, with the degree of influence varying with the foliation orientation.

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Discrete element modeling of the machining processes of brittle materials: recent development and future prospective

Jiang

Tang

et al. 2020

Int J Adv Manuf Technol

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In recent years, the discrete element method (DEM) has been used to model the bulk material, especially for the brittle materials (such as rocks, ceramics, concrete, ice, etc.) with various mechanical properties or responses by setting serials of contact properties (such as bonds) in the particle assembly. These bonds can withstand a certain amount of force and/or moment, so that the stresses executed in the bond can be used for determining the initiation and propagation of micro-crack. There are increasing evidences over the last twenty years that the DEM is becoming an effective numerical method to simulate the cracking, crushing and deformation of continuous media under external loads. The DEM has now been widely used in the field of processing and machining of rock, ceramic, concrete and other brittle materials. In this paper, the theoretical principles, formulations, contact models as well as the numerical solving processes of DEM are introduced. The applications of DEM for the machining processes of brittle and rigid materials such as ceramics are described and reviewed in detail, with future development trend also discussed.

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Parametric study of smooth joint parameters on the mechanical behavior of transversely isotropic rocks and research on calibration method

Cited by 46 publications

References 25 publications

A New Method to Estimate the Joint Roughness Coefficient by Back Calculation of Shear Strength

A New Method to Estimate the Joint Roughness Coefficient by Back Calculation of Shear Strength

Three‐dimensional discrete element simulation of indirect tensile behaviour of a transversely isotropic rock

Discrete element modeling of the machining processes of brittle materials: recent development and future prospective

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