International Journal of Rock Mechanics and Mining Sciences

This files contain the surface meshes generated from asperity scans of granite samples from the Grimsel test site. They have been used to create the geometries used in this paper. For convenience we also add .jou file which contains the commands to generate exodus files for the use in MOOSE.

The data is for the figures in the paper.

This is the ANSYS FLUENT simulation model of proppant transport in hydraulic fractures.

In view of the irregular trace distribution of rock discontinuities, rock mass appears as both a statistical distribution and a texture distribution in the spatial image. This paper proposes a new method on statistical texture analysis for automated demarcating the homogeneous domains of trace distribution within a rock mass. Grey-Level Co-occurrence Matrix (GLCM) is used to quantify the statistical texture features of trace distribution. Relativity, Inverse Difference Moment and Entropy are screened from ten texture parameters of GLCM using robustness analysis and using principal components analysis. The reliability of three screened texture parameters is verified by comparing the Chebyshev polynomials fitting of three screened texture parameters with Normal distribution, Fisher distribution, and Exponent distribution using χ2 testing. Automated demarcation of the homogeneous domains is implemented by means of classifying three texture parameters of Relativity, Inverse Difference Moment and Entropy in a moving window using the Iterative Self-Organizing Data Analysis Techniques Algorithm (ISODATA). The screening process of texture parameters and a case study indicates that texture parameters and automated demarcation method is so robust, reliable, and efficient that it could replace the traditional representation of the probability statistics in trace distribution and greatly save a lot of manual labor in a large-scale domain.

MOOSE models that compute the permeability changes quoted in the paper

The dotes contain raw or processed data files

Support failures in some representative coal mines in China, practices, experience, and lessons learned based on field observations

This three dataset are recorded while doing Experiment No.9, NO.10 and No.11. There are 16 columns in each files: c1 sampling interval (ms) c2 Pump A pressure (kPa) c3 Pump B pressure (kPa) c4 Pump C pressure (kPa) c5 Pump A remaining volme (ml) c6 Pump B remaining volme (ml) c7 Pump C remaining volme (ml) c8 Pump A flow rate (ml/min) c9 Pump B flow rate (ml/min) c10 Pump C flow rate (ml/min) c11 time (hours) c12 time (minutes) c13 time (seconds) c14 time (fractional seconds) c15 lvdt displacement readings (um) c16 load cell readings (V)

The compressed file contains three parts of data: (1)Strata movement in Borehole No.1; (2)Pressure of chock supports; (3)Depth change of the dislocation position in Borehole No.2;

Evaluation of geological parameters for strain-softening rock mass with Hoek-Brown failure criterion. Based on the poposed method, the strength prameters and deformation parameters for the strain-softening rock mass can be determined by GSI.