Hyperbolic Secant Subsidence Prediction Model under Thick Loose Layer Mining Area

Abstract

In China, as a major resource, coal has made great contributions to national energy security and social development. The mining of coal resources can cause surface subsidence damage, and , in particular, the mining of coal resources in thick loose layer mines is the most serious. How to accurately predict the surface subsidence caused by coal mining in thick loose layer mines has become an urgent problem to be solved. To solve this problem, numerical simulations based on the measured data were used to reveal that the thickness of the loose layer is the intrinsic mechanism that affects the value of the surface subsidence and the large range of subsidence. On this basis, the hyperbolic secant function is used as the influence function of unit mining to derive the expected model of subsidence under thick loose layer conditions: the hyperbolic secant subsidence prediction model. Compared with the probability integral method, the hyperbolic secant subsidence prediction model’s prediction accuracy RMSE value is improved by 38%. The hyperbolic secant subsidence prediction model can realize accurate estimation of the subsidence value in the thick loose layer mine area. This greatly enriches the mining subsidence prediction theory and provides a scientific basis for the assessment of surface damage and ecological environment restoration after coal seam mining under a thick loose seam mining area.

Land subsidence prediction in coal mining using machine learning models and optimization techniques

“…The data employed in this study includes 1740 data points extracted from previous works on underground coal mines. The data pertains to 14 coal mines using the longwall method (Xianxiang Zhu et al 2020;Xie et al 2020;Yang and Luo 2021;Zhang et al 2022;Khanal et al 2022;Wang, Li, and Wang 2016;Barbato et al 2016;G. Li and Yang 2020;Guo et al 2021;H.…”

Model Construction and Parameters Acquisition of the Predicted Surface Movement Deformation under Thick Loose Layer Mining Area

“…Liu developed the probability integral method based on the stochastic medium, which is most widely used in China because of its good universality, the clear physical meaning of parameters, and high accuracy [24]. However, the probabilistic integral method for predicting surface movement deformation under special geological mining conditions (such as multiple coal seams, steep coal seams, and thick loose layers) is not applicable [25][26][27][28][29].…”

Study on the Mechanism and Control of Strong Rock Pressure in Thick Coal Seam Mining under the Goaf of Very Close Multiple Coal Seams

“…Tu Shihao et al [18], in response to the problem of large impact pressure on the overlying rocks, adopted the control measures of blasting the residual coal column to release the top and unload the pressure, injecting sand into the coal room and reasonably controlling the mining height to achieve the safe and efficient production of the working face in response to the problem that the mining under the room mining area of the working face of the shallowly buried coal seam is prone to unload the mine pressure and even the mine pressure. Xu Jingmin et al [19] proposed the control measures of using blasting or other means to weaken the coal pillar of room Processes 2023, 11, 1320 3 of 15 mining in advance, slow down the advancing speed of the working face, and slurry filling in the coal pillar area of room mining in view of the vulnerability of mining under the room mining area of the shallowly buried coal seam, and other scholars put forward the control measures of optimizing the position of back mining tunnel under the near coal seam mining area [20][21][22][23], and joint and coordinated mining of near coal seam group [24][25][26][27], etc. The technical measures for mine pressure control are proposed.…”