Constitutive model for inherent anisotropic rocks: Ubiquitous joint model based on the Hoek-Brown failure criterion

Ismael, Mohamed; Konietzky, Heinz

doi:10.1016/j.compgeo.2018.09.016

Cited by 56 publications

(13 citation statements)

References 43 publications

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“…e uniaxial cyclic loading tests were carried out nine times. excavation and supports the design of coal mines [32][33][34][35][36][37]. You and Hua [38] presented four failure modes of rock under uniaxial compression conditions: tension failure, penetrating shear failure, approximately conical tension failure, and fracture failure of rock fragments.…”

Section: Experimental Systemmentioning

confidence: 83%

Study on Failure Modes and Energy Evolution of Coal-Rock Combination under Cyclic Loading

Song

Liu

Tan

et al. 2020

Shock and Vibration

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The loading modes and roof lithology have a significant influence on the mechanical properties of coal seams. To reveal the failure modes and energy evolution law of underground coal during the mining process, conventional uniaxial and uniaxial cyclic loading tests were carried out on three types of samples: coal, rock, and coal-rock combinations. The results show that the samples mainly behave with three failure modes (shear slip, tensile splitting, and fracture), and all the coal sections in the coal-rock combinations fail, whereas most rock sections remain intact. The compressive strength of the coal-rock combination is higher than coal and much smaller than rock. Compared with the conventional uniaxial loading condition, both the maximum deformation before failure and Young’s modulus under the cyclic loading condition are greater, and the latter increases quadratically with the cycle index. The energy densities are also calculated, and their variations are analysed in detail. The results show that with increasing cycle index, both the elastic energy stored in the sample and the dissipated energy increase in a quadratic function, and the failure process becomes more intense. This research reveals the failure modes, deformation characteristics, and energy evolution of the coal-rock combination under different loading conditions, which can provide strong support for controlling underground surrounding rocks of the coal face and roadway in coalmines.

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Section: Experimental Systemmentioning

confidence: 83%

Study on Failure Modes and Energy Evolution of Coal-Rock Combination under Cyclic Loading

Song

Liu

Tan

et al. 2020

Shock and Vibration

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“…This model can reflect how a weak plane affects the rock mass deformation after yielding. Das et al [9,10] and Ismael et al [11] studied the ubiquitous-joint model in different engineering fields.…”

Section: Introductionmentioning

confidence: 99%

Parameters Identification of Tunnel Jointed Surrounding Rock Based on Gaussian Process Regression Optimized by Difference Evolution Algorithm

Jiang¹,

Guo²,

Zheng³

et al. 2021

Computer Modeling in Engineering &Amp; Sciences

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Due to the geological body uncertainty, the identification of the surrounding rock parameters in the tunnel construction process is of great significance to the calculation of tunnel stability. The ubiquitous-joint model and three-dimensional numerical simulation have advantages in the parameter identification of surrounding rock with weak planes, but conventional methods have certain problems, such as a large number of parameters and large time consumption. To solve the problems, this study combines the orthogonal design, Gaussian process (GP) regression, and difference evolution (DE) optimization, and it constructs the parameters identification method of the jointed surrounding rock. The calculation process of parameters identification of a tunnel jointed surrounding rock based on the GP optimized by the DE includes the following steps. First, a three-dimensional numerical simulation based on the ubiquitous-joint model is conducted according to the orthogonal and uniform design parameters combing schemes, where the model input consists of jointed rock parameters and model output is the information on the surrounding rock displacement and stress. Then, the GP regress model optimized by DE is trained by the data samples. Finally, the GP model is integrated into the DE algorithm, and the absolute differences in the displacement and stress between calculated and monitored values are used as the objective function, while the parameters of the jointed surrounding rock are used as variables and identified. The proposed method is verified by the experiments with a joint rock surface in the Dadongshan tunnel, which is located in Dalian, China. The obtained calculation and analysis results are as follows: CR = 0.9, F = 0.6, NP = 100, and the difference strategy DE/Best/1 is recommended. The results of the back analysis are compared with the field monitored values, and the relative error is 4.58%, which is satisfactory. The algorithm influencing factors are also discussed, and it is found that the local correlation coefficient σ f and noise standard deviation σ n affected the prediction accuracy of the GP model. The results show that the proposed method is feasible and can achieve high identification precision. The study provides an effective reference for parameter identification of jointed surrounding rock in a tunnel.

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“…The deformation and failure process after loading shows obvious nonlinear characteristics. The generalized Hoek-Brown strength criterion can reflect the nonlinear failure characteristics of rock mass better by comprehensively considering a variety of influencing factors, while D-P criterion is relatively conservative, and M-C criterion is more suitable to represent the linear relation [23][24][25][26][27]. Therefore, the generalized Hoek-Brown strength criterion was selected as the failure criterion of HCCB.…”

Section: Introductionmentioning

confidence: 99%

Study on Damage Constitutive Model of High-Concentration Cemented Backfill in Coal Mine

Yang

2021

Geofluids

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In order to construct the damage constitutive model (DCM) of high-concentration cemented backfill (HCCB) in coal mine, the generalized Hoek-Brown strength criterion was used as the failure criterion. For the difference of theoretical derivation of constitutive relation, a new DCM based on residual strength was proposed. Combined with the conventional triaxial compression test, the correctness and rationality of the DCM were verified. The damage evolution characteristics of HCCB were analyzed, and the physical meaning of model parameters was clarified. The results show that (a) the theoretical curves of stress-strain relation are in good agreement with its experimental curves, which means DCM can simulate the deformation and failure process of HCCB. (b) The damage evolution curve of HCCB is S -shaped. To some extent, the confining pressure can inhibit the development of damage. (c) The parameter F 0 reflects the position of the peak point of the DCM, and parameter n is the slope of the straight line segment in the postpeak strain softening stage, which are, respectively, used to characterize the strength level and brittleness of HCCB. The establishment of DCM of HCCB is helpful to reveal its deformation and failure mechanism and provides theoretical basis for its strength design.

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Constitutive model for inherent anisotropic rocks: Ubiquitous joint model based on the Hoek-Brown failure criterion

Cited by 56 publications

References 43 publications

Study on Failure Modes and Energy Evolution of Coal-Rock Combination under Cyclic Loading

Study on Failure Modes and Energy Evolution of Coal-Rock Combination under Cyclic Loading

Parameters Identification of Tunnel Jointed Surrounding Rock Based on Gaussian Process Regression Optimized by Difference Evolution Algorithm

Study on Damage Constitutive Model of High-Concentration Cemented Backfill in Coal Mine

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