Guo Shuai, Qiu Shouyuan, Zhang Dongjie, Zheng Wenxiang
School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology, BaoTou, 014000, China.
Key Laboratory of Mining Engineering of Inner Mongolia Autonomous Region, BaoTou, 014000, China.
Sci Rep. 2025 Sep 1;15(1):32103. doi: 10.1038/s41598-025-15662-w.
With the gradual extension of global coal mining to the deep, the problem of surface subsidence caused by repeated mining of multiple coal seams has attracted much attention. In this paper, the methods of theoretical analysis, numerical simulation and field monitoring are used to study the settlement model and settlement law under the condition of repeated mining of multiple coal seams, and the engineering application is carried out. Through theoretical analysis, it is concluded that there is a linear relationship between the amount of broken expansion of overlying rock mass, the buried depth of coal seam, the thickness of coal seam and the maximum subsidence value of surface. The opening size of surface subsidence basin in multi-coal seam mining is still linear with the mining depth of coal seam. Based on the probability integral method, fully considering the factors such as rock mass expansion and separation caused by repeated mining of unequal thickness and multiple coal seams, the prediction model of surface subsidence caused by repeated mining of multiple coal seams is constructed, and the calculation method and calculation formula of surface subsidence coefficient caused by repeated mining of multiple coal seams are given. The law of overlying strata and surface subsidence caused by repeated mining of multiple coal seams is analyzed by numerical simulation. The results show that the trend of surface subsidence is similar to that of repeated mining (second-layer coal) in multi-coal seam mining area. The subsidence curve is symmetrically distributed in the early stage of mining and asymmetrically distributed in the later stage. The maximum value of surface subsidence is located on the side of open-off cut. The numerical simulation results are highly similar to the calculation results of ' prediction model of surface subsidence caused by repeated mining of multi-coal seam '. The surface subsidence prediction model constructed in this paper is used to predict the coal mine site. The prediction results are compared with the field measurement results. The maximum relative error value of the working face tendency is 5.7%, and the average relative error value is 2.9%. Along the strike of the working face, the maximum relative error value is 6.7%, and the average relative error value is 5%. The overall prediction error is small, which verifies the rationality of the prediction model of the surface subsidence law of multi-coal seam repeated mining.
随着全球煤炭开采逐渐向深部延伸,多煤层重复开采引起的地表沉陷问题备受关注。本文采用理论分析、数值模拟和现场监测等方法,研究多煤层重复开采条件下的沉降模型及沉降规律,并进行工程应用。通过理论分析得出,覆岩破碎膨胀量、煤层埋深、煤层厚度与地表最大下沉值之间存在线性关系。多煤层开采地表沉陷盆地的开口尺寸与煤层开采深度仍呈线性关系。基于概率积分法,充分考虑不等厚多煤层重复开采引起的岩体膨胀、离层等因素,构建了多煤层重复开采地表沉陷预测模型,给出了多煤层重复开采地表沉陷系数的计算方法及计算公式。通过数值模拟分析了多煤层重复开采引起的覆岩及地表沉陷规律。结果表明,多煤层开采区地表沉陷趋势与重复开采(第二层煤)时相似。沉降曲线在开采初期呈对称分布,后期呈不对称分布。地表最大下沉值位于开切眼一侧。数值模拟结果与“多煤层重复开采地表沉陷预测模型”的计算结果高度相似。利用本文构建的地表沉陷预测模型对煤矿现场进行预测。将预测结果与现场实测结果进行对比。工作面倾向方向最大相对误差值为5.7%,平均相对误差值为2.9%。沿工作面走向,最大相对误差值为6.7%,平均相对误差值为5%。整体预测误差较小,验证了多煤层重复开采地表沉陷规律预测模型的合理性。