Development of a Synthetic Rock Mass Model and Its Application in Simulating the Strength Behavior of Fractured Coal Masses in 3D

The complex fracture network and stress state make the mechanical properties of coal mass very complicated, and the strength of the coal mass is difficult to determine via direct measurement. Therefore, the reasonable prediction of coal mass strength has become a key issue in coal mining engineering. To find a solution to this problem, computed tomography scanning technology was used to detect the preexisting fracture networks of cubic coal blocks. We improved the test method for intact coal mechanical parameters and created a more refined fracture network. Meanwhile, particle interlocking and nonlinear stiffness problems in synthetic rock mass are optimized. Based on the developed synthetic rock mass method, a series of true triaxial compression tests were conducted on coal masses under different fracture networks and confining conditions. The results show that bedding planes, cleats, face cleats, and butt cleats have different weakening effects on intact coal and that the influence of the confining pressure on the strength of coal has obvious nonlinear characteristics. By introducing the joint coefficient Jf and the intermediate principal stress σ2, the strength criterion of a complexly fractured coal rock mass in the form of a power index is established. The strength criterion can be used to predict the strength of a coal mass containing complex fractures through comparisons with laboratory triaxial test data.

Institutions

Publication Details

Journal
International Journal of Geomechanics
Published
2025-11-07
DOI
https://doi.org/10.1061/ijgnai.gmeng-12059
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Synthetic Rock Mass Model and Its Application in Simulating the Strength Behavior of Fractured Coal Masses in 3D

International Journal of Geomechanics
Rock Mechanics and Modeling
article

Development of a Synthetic Rock Mass Model and Its Application in Simulating the Strength Behavior of Fractured Coal Masses in 3D

article en

Abstract

The complex fracture network and stress state make the mechanical properties of coal mass very complicated, and the strength of the coal mass is difficult to determine via direct measurement. Therefore, the reasonable prediction of coal mass strength has become a key issue in coal mining engineering. To find a solution to this problem, computed tomography scanning technology was used to detect the preexisting fracture networks of cubic coal blocks. We improved the test method for intact coal mechanical parameters and created a more refined fracture network. Meanwhile, particle interlocking and nonlinear stiffness problems in synthetic rock mass are optimized. Based on the developed synthetic rock mass method, a series of true triaxial compression tests were conducted on coal masses under different fracture networks and confining conditions. The results show that bedding planes, cleats, face cleats, and butt cleats have different weakening effects on intact coal and that the influence of the confining pressure on the strength of coal has obvious nonlinear characteristics. By introducing the joint coefficient Jf and the intermediate principal stress σ2, the strength criterion of a complexly fractured coal rock mass in the form of a power index is established. The strength criterion can be used to predict the strength of a coal mass containing complex fractures through comparisons with laboratory triaxial test data.

International Journal of GeomechanicsVol. 26(1)
China University of Mining and Technology (CN), Shandong University of Science and Technology (CN)
Openalex Percentile: Top 47%
Rock Mechanics and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.