Fu Peng, Luo Jianqiao, Yan Shaohong, Mu Junqing
School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
China Energy Longyuan Environmental Protection Co. LTD, Beijing, China.
Sci Rep. 2025 Jul 1;15(1):21113. doi: 10.1038/s41598-025-06907-9.
The movement of overburden strata under valley geomorphological conditions presents significant challenges for ground pressure control and the protection of surface ecosystems and aquifers. In this study, geological and boundary mechanical conditions were obtained through field investigation and monitoring, and were subsequently applied in both physical similarity simulation and numerical modeling. The research focuses on two mining sequences-steep gully to deep gully (SG→DG) and deep gully to steep gully (DG→SG)-to analyze the evolution of stress and displacement in overburden strata at different mining stages. A novel approach integrating deep learning techniques was employed to identify and analyze stress-displacement image patterns. Results indicate that when vertical stress is considered, the proportion of high-risk stress zones under the DG→SG method reaches 5.57%, compared to only 3.28% under the SG→DG method. This implies that the probability of stress-related hazards in the SG→DG sequence is approximately 58% of that in the DG→SG sequence. These findings suggest that the SG→DG method offers significant advantages in mitigating ground pressure risks. It is therefore recommended as the preferred mining approach, especially when combined with ground grouting and underground hydraulic fracturing techniques. Furthermore, the study reveals that mining direction is a critical human-controllable factor affecting overburden behavior. By investigating stress redistribution under different mining sequences, this research provides new insights into stress transfer mechanisms in overburden strata, offering theoretical guidance for the safe and efficient extraction of coal resources in complex valley terrain environments.
在山谷地貌条件下,覆岩地层的移动给地压控制以及地表生态系统和含水层的保护带来了重大挑战。在本研究中,通过现场调查和监测获取了地质和边界力学条件,并随后将其应用于物理相似模拟和数值模拟。该研究聚焦于两个开采顺序——从陡沟到深沟(SG→DG)以及从深沟到陡沟(DG→SG)——以分析不同开采阶段覆岩地层中应力和位移的演化。采用了一种整合深度学习技术的新颖方法来识别和分析应力 - 位移图像模式。结果表明,考虑垂直应力时,DG→SG方法下高风险应力区的比例达到5.57%,而SG→DG方法下仅为3.28%。这意味着SG→DG开采顺序中与应力相关灾害的概率约为DG→SG开采顺序中的58%。这些发现表明,SG→DG方法在减轻地压风险方面具有显著优势。因此,建议将其作为首选开采方法,特别是与地面注浆和井下水力压裂技术相结合时。此外,研究表明开采方向是影响覆岩行为的一个关键的人为可控因素。通过研究不同开采顺序下的应力重新分布,本研究为覆岩地层中的应力传递机制提供了新的见解,为在复杂山谷地形环境中安全高效地开采煤炭资源提供了理论指导。