唐亦川, 邢聪聪, 刘东海, 邓念东, 姚婷, 尚慧. 缓倾斜煤层走向长壁式工作面地表沉陷盆地模型[J]. 煤田地质与勘探, 2020, 48(5): 165-173,181. DOI: 10.3969/j.issn.1001-1986.2020.05.020
引用本文: 唐亦川, 邢聪聪, 刘东海, 邓念东, 姚婷, 尚慧. 缓倾斜煤层走向长壁式工作面地表沉陷盆地模型[J]. 煤田地质与勘探, 2020, 48(5): 165-173,181. DOI: 10.3969/j.issn.1001-1986.2020.05.020
TANG Yichuan, XING Congcong, LIU Donghai, DENG Niandong, YAO Ting, SHANG Hui. Model of surface subsidence basin for long-wall working face along strike of gently inclined coal seam[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(5): 165-173,181. DOI: 10.3969/j.issn.1001-1986.2020.05.020
Citation: TANG Yichuan, XING Congcong, LIU Donghai, DENG Niandong, YAO Ting, SHANG Hui. Model of surface subsidence basin for long-wall working face along strike of gently inclined coal seam[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(5): 165-173,181. DOI: 10.3969/j.issn.1001-1986.2020.05.020

缓倾斜煤层走向长壁式工作面地表沉陷盆地模型

Model of surface subsidence basin for long-wall working face along strike of gently inclined coal seam

  • 摘要: 为准确描述地表沉陷盆地分布形态,基于幂指数函数模型,结合缓倾斜煤层走向长壁式工作面地表沉陷盆地的特征,采用理论分析与数值模拟相结合的方法,建立适用于缓倾斜煤层走向长壁式工作面的沉陷盆地模型,分析模型参数的影响因素及参数的变化规律,并验证模型的适用性和预计精度。研究表明:模型参数n反映下沉盆地底部范围大小,主要与采动程度有关,取值范围为1~3,其取值精度取决于观测点个数;参数k反映下沉盆地边缘的收敛速度和下沉影响范围,主要与采煤方法、顶板管理方法及松散层厚度有关,其值可通过地表最大下沉值或煤厚进行确定;在对常村煤矿地表沉陷进行预计时,预计值与实测值的差值平方和为3.08×106,中误差为267.59 mm,为最大下沉值的6.47%。研究缓倾斜煤层走向长壁式工作面地表沉陷盆地模型旨在对常村煤矿地表沉陷的预测和预防工作提供理论基础。

     

    Abstract: In order to accurately describe the distribution of surface subsidence basin, and based on the power exponential function model and the subsidence features, the surface subsidence basin model of long-wall working face along strike with gently inclined coal seam was established concerned the combination of theoretical analysis and numerical simulation method. The influencing factors of model parameters and the changing patterns of parameters were analyzed, and the applicability and the predicting accuracy of the model were verified. The results showed that parameter n reflected the range of the bottom size of the sinking basin, which was mainly related to the degree of mining. The values of n ranged from 1 to 3, and its value accuracy depended on the number of observation points. The parameter k reflected the convergence speed and subsidence influencing range of the edge of the sinking basin, which was mainly related to coal mining method, roof management method and the thickness of loose layer. The value of k was determined by the maximum of surface subsidence value or thickness of coal. In the prediction of surface subsidence in Changcun coal mine, the sum of squared differences between the predicted value and the measured value was 3.08×106, and the median error was 267.59 mm, which was 6.47% of the maximum of subsidence value. The research is aimed at providing theoretical basis for the prediction and prevention of surface subsidence in Changcun coal mine.

     

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