Mesoscopic fracturing mechanism in sandstone: Influence of confining pressure unloading rate

The rock mass damage and failure induced by underground coal resource exploitation are strongly influenced by the confining pressure unloading (CPU) rate. However, the impact of CPU rate as a sole variable remains inadequately understood. This study utilizes discrete element numerical tests to explore the influence of CPU rate on the mesoscopic fracturing mechanism of sandstone. Homogeneous three-dimensional models with consistent mesoscopic parameters and constant axial pressure are subjected to varying CPU rates. By isolating the CPU rate as the sole variable, macroscopic failure patterns, mesoscopic damage evolution, and energy density distributions are investigated. The numerical results are validated against existing physical experimental results, confirming the rationality of the discrete element model parameters. The results show that lower CPU rates induce multistage, sudden, and progressive failure, characterized by stepwise increases in energy density, more abrupt fractures, and enhanced mobilization of local load-bearing capacity. The defined medium CPU rate results in distinct physical responses, attributed to particle rearrangement driven by unloading rate. Particle displacement is identified as a quantitative indicator of rock damage. The results underscore the importance of isolating the CPU rate effect to improve the understanding of rock fracturing mechanisms and associated physical properties.

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Publication Details

Journal
Energy Exploration & Exploitation
Published
2025-03-13
DOI
https://doi.org/10.1177/01445987251326287
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Mesoscopic fracturing mechanism in sandstone: Influence of confining pressure unloading rate

Dekang Zhao, Liangliang Guo, Kun Tu, Jian Zhang et al.
Energy Exploration & Exploitation
Rock Mechanics and Modeling
article

Mesoscopic fracturing mechanism in sandstone: Influence of confining pressure unloading rate

Dekang Zhao, Liangliang Guo, Kun Tu, Jian Zhang, Wenping Mu
article en

Abstract

The rock mass damage and failure induced by underground coal resource exploitation are strongly influenced by the confining pressure unloading (CPU) rate. However, the impact of CPU rate as a sole variable remains inadequately understood. This study utilizes discrete element numerical tests to explore the influence of CPU rate on the mesoscopic fracturing mechanism of sandstone. Homogeneous three-dimensional models with consistent mesoscopic parameters and constant axial pressure are subjected to varying CPU rates. By isolating the CPU rate as the sole variable, macroscopic failure patterns, mesoscopic damage evolution, and energy density distributions are investigated. The numerical results are validated against existing physical experimental results, confirming the rationality of the discrete element model parameters. The results show that lower CPU rates induce multistage, sudden, and progressive failure, characterized by stepwise increases in energy density, more abrupt fractures, and enhanced mobilization of local load-bearing capacity. The defined medium CPU rate results in distinct physical responses, attributed to particle rearrangement driven by unloading rate. Particle displacement is identified as a quantitative indicator of rock damage. The results underscore the importance of isolating the CPU rate effect to improve the understanding of rock fracturing mechanisms and associated physical properties.

Energy Exploration & ExploitationVol. 43(4)
China University of Mining and Technology (CN), China University of Geosciences (Beijing) (CN), China Coal Technology and Engineering Group Corp (China) (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 95%
Rock Mechanics and Modeling
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Mesoscopic fracturing mechanism in sandstone: Influence of confining pressure unloading rate — Dekang Zhao, Liangliang Guo, et al. · Energy Exploration & Exploitation (2025) | TGRS Research Map | TGRS