Mine Safety Technology Branch of China Coal Research Institute
State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute)

浅埋煤层开采后的地表变形十分剧烈,地裂缝等非连续变形非常明显,而概率积分法适用于地表连续变形的情况,因此有必要探讨概率积分法在浅埋煤层矿区的适用性问题。概率积分法源于随机介质理论和概率理论,本研究由此入手,分别计算概率积分法在浅埋煤层矿区和中-深埋煤层矿区综采条件下的关系系数,并与概率积分法关系系数的理论值进行比较分析,据此探讨概率积分法在浅埋煤层综采条件下的适用性。研究结果表明,与中-深埋煤层矿区相比,浅埋煤层矿区的关系系数不仅与概率积分法理论值相差较大,而且其本身的离散程度也较大,说明概率积分法在浅埋煤层矿区综采条件下的适用性不及中-深埋煤层矿区。通过分析影响概率积分法适用性的影响因素,提出了开展基于关键层理论的地表沉陷影响研究方法,用以改进完善浅埋煤层矿区沉陷计算方法。

In shallow coal seam mining area, surface deformation is severe after coal mining, and the discontinuous deformation such as cracks is very obvious. Probability integration method is applicable to continuous surface deformation, so it is necessary to explore the applicability of probability integration method in shallow coal mining areas. The probability integration method originates from the random medium theory and probability theory. This article starts with this and calculates the relationship coefficients of the probability integration method under fully mechanized mining conditions in shallow coal seam mining areas and medium-deep coal seam mining areas, and compares and analyzes the theoretical values of the relationship coefficients of the probability integration method. Based on this, the applicability of the probability integration method under fully mechanized mining in shallow coal seam is discussed. The research results show that, compared with medium-deep coal seam mining areas, the relationship coefficient of shallow coal seam mining area not only differs greatly from the theoretical value of the probability integral method, but also has a large degree of dispersion.This shows that the applicability of probability integral method in shallow coal seam mining area is not as good as that in the medium-deep coal seam mining area. By analyzing the factors that affect the applicability of the probability integral method, a research method based on the key stratum theory is proposed to improve the calculation method for shallow coal seam mining subsidence.

中国煤炭科工集团有限公司科技创新创业资金专项项目(2019-2-ZD005)

孙庆先, 陈清通, 牟 义, 等. 浅埋煤层综采条件下地表沉陷计算方法研究 [J]. 煤炭工程, 2023, 55(9):146-150.