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

被引:0
|
作者
Zhang, Jian [1 ,2 ]
Guo, Liangliang [1 ,2 ]
Zhao, Dekang [3 ,4 ]
Tu, Kun [5 ]
Mu, Wenping [6 ]
机构
[1] Taiyuan Univ Technol, Coll Water Resources Sci & Engn, Taiyuan 030024, Peoples R China
[2] Shanxi Key Lab Collaborat Utilizat River Basin Wat, Taiyuan, Peoples R China
[3] Taiyuan Univ Technol, Coll Geol & Surveying Engn, Taiyuan, Peoples R China
[4] Xian Res Inst Co Ltd, China Coal Technol & Engn Grp Corp, Xian, Peoples R China
[5] China Univ Min & Technol Beijing, Natl Engn Res Ctr Coal Mine Water Hazard Controlli, Beijing, Peoples R China
[6] China Univ Geosci Beijing, Sch Engn & Technol, Beijing, Peoples R China
基金
中国博士后科学基金;
关键词
Confining pressure unloading rate; sandstone; mesoscopic fracturing mechanism; particle rearrangement; discrete element method; ROCK FAILURE; EVOLUTION; SCALE; SIZE;
D O I
10.1177/01445987251326287
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:26
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