Generation of Numerical Models of Anisotropic Columnar Jointed Rock Mass Using Modified Centroidal Voronoi Diagrams

Meng, Qingxiang; Yan, Long; Chen, Yulong; Zhang, Qiang

doi:10.3390/sym10110618

Cited by 30 publications

(18 citation statements)

References 24 publications

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“…In addition, a longitudinal comparison showed that with the increase in intermediate principal stress, the coal has been destroyed, and the cracks have penetrated the entire coal. However, the impact count curve has not increased, and the energy count has not fluctuated, indicating that the rock mass still has a certain bearing capacity after failure [37][38][39][40][41][42], as shown in Figures 6(a) and 6(b) (stage IV). In addition, with the increase in intermediate principal stress, the coal has shown yield failure when entering stage IV, and the stress difference curve has a significant decline section, indicating that the intermediate principal stress makes the coal no longer able to continue to bear the load, as shown in Figure 6(c) (stage IV).…”

Section: Analysis Of Characteristics Of Acousticmentioning

confidence: 99%

Research on Coal Mechanical Properties Based on True Triaxial Loading and Unloading Experiment

Peng

Deng

Ming-hong

et al. 2021

Advances in Civil Engineering

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To study the safety issues caused by coal mine excavation, self-developed simulation of earth interior atmosphere and sound test system was used to perform true triaxial loading and unloading tests of coal. An acoustic emission detection system was used to record the damage evolution trend of coal under different intermediate principal stress states. The experimental results show that in the true triaxial unloading test, as the intermediate principal stress increases, the failure state of coal changes from shear failure to partial shear tension failure, finally leading to overall yield failure. In the stress-strain curves, with the increase in intermediate principal stress, the strain in the direction of intermediate principal stress gradually changes from compression to expansion, and typical expansion occurs. The Mogi–Coulomb strength criterion better reflects the strength failure characteristics of coal during unloading. The stress-acoustic emission diagrams show that the increase in intermediate principal stress causes the internal cracks of the coal to grow unsteadily and exponentially, and the increase in intermediate principal stress makes the coal lose its ability to continue to bear the load. Studying the influence of the intermediate principal stress on the mechanical properties of coal has practical significance for coal mine safety production.

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Section: Analysis Of Characteristics Of Acousticmentioning

confidence: 99%

Research on Coal Mechanical Properties Based on True Triaxial Loading and Unloading Experiment

Peng

Deng

Ming-hong

et al. 2021

Advances in Civil Engineering

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“…In the dam area, the most obvious stratigraphic lithology is basalt, which belongs to the Emeishan (Emei Mt.) formation of the Permain System (P 2 β) [1].…”

Section: Comparison and Analysis Of Three Constitutive Models And Nummentioning

confidence: 99%

“…A columnar jointed rock mass (CJRM) is formed by cutting the intact rock from different structural planes, and has long-term complex geological evolution and possesses strong symmetry [1][2][3]. A typical CJRM is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Constitutive Model of Stress-Dependent Seepage in Columnar Jointed Rock Mass

2020

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Columnar jointed rock mass (CJRM) is a highly symmetrical natural fractured structure. As the rock mass of the dam foundation of the Baihetan Hydropower Station, the study of its permeability anisotropy is of great significance to engineering safety. Based on the theory of composite mechanics and Goodman’s joint superposition principle, the constitutive model of joints of CJRM is derived according to the Quadrangular prism, the Pentagonal prism and the Hexagonal prism model; combined with Singh’s research results on intermittent joint stress concentration, considering column deflection angles, the joint constitutive model of CJRM in three-dimensional space is established. For the CJRM in the Baihetan dam site area, the Quadrangular prism, the Pentagonal prism and the Hexagonal prism constitutive models were used to calculate the permeability coefficients of CJRM under different deflection angles. The permeability anisotropy characteristics of the three models were compared and verified by numerical simulation results. The results show that the calculation results of the Pentagonal prism model are in good agreement with the numerical simulation results. The variation of permeability coefficient under different confining pressures is compared, and the relationship between permeability coefficient and confining pressure is obtained, which accords with the negative exponential function and conforms to the general rule of joint seepage.

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“…Therefore, the RON loss model in the gasoline refining process is critical to petrochemical companies. At the same time, the reduction of RON not only brings huge economic benefits to petrochemical companies but also brings new opportunities and challenges to material science, engineering geology, and other energy disciplines [2][3][4][5][6][7][8]. Due to the complexity of the refining process and the diversity of equipment, by which operating variables (control variables) have a highly nonlinear and strongly coupled relationship with each other, there are relatively few variables in the traditional data association model, and mechanism modeling needs high analysis requirements of raw materials.…”

Section: Introductionmentioning

confidence: 99%

The Optimization Model for Reducing RON Loss in Gasoline Refining Process

Wang

Yang

et al. 2021

Geofluids

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As gasoline is the main fuel of small vehicles, the exhaust emissions from its combustion will affect air quality. The focus of gasoline cleaning is to reduce the sulfur and olefin content in gasoline while maintaining its RON as much as possible. The reduction of RON will bring great economic losses to enterprises. Therefore, it is very important for petrochemical enterprises to construct a RON loss model in the gasoline refining process. The model construction, which reduces RON loss during gasoline refining, is the main question in this paper. By Python and SPSS software, we got two variable filtering methods: the random forest importance filtering and PCA filtering, and combined with SVR and random forest models, RON of the product and sulfur content were predicted. The filtering order of the original data by Excel and Python is maximum and minimum removal, 3σ criterion removal, deletion of too many sites in incomplete data, and filling of empty values in the mean within two hours. Several RON prediction models were established with the help of Python software, and the variables selected were compared by two filtering methods: one is the SVR model based on Gaussian, linear, polynomial, and Sigmoid kernel functions; the other is the random forest model. The sulfur content and RON prediction model was constructed, which use evaluation functions such as MSE, R 2 , and RMSE to evaluate and sulfur content as the subject condition. We convert the problem into linear and nonlinear model variable optimization problems: the linear model is the variable selected by the SVR linear kernel function model and random forest; the nonlinear model is the combination of variables selected by the random forest model and random forest. Optimizing for each sample, the optimization method is to find the optimal solution for each variable and use the optimal method for each variable as the local optimal solution for the sample. The two models are evaluated from the perspectives of optimization degree, optimization rate, model running speed, etc.

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Generation of Numerical Models of Anisotropic Columnar Jointed Rock Mass Using Modified Centroidal Voronoi Diagrams

Cited by 30 publications

References 24 publications

Research on Coal Mechanical Properties Based on True Triaxial Loading and Unloading Experiment

Research on Coal Mechanical Properties Based on True Triaxial Loading and Unloading Experiment

Constitutive Model of Stress-Dependent Seepage in Columnar Jointed Rock Mass

The Optimization Model for Reducing RON Loss in Gasoline Refining Process

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