Hyperbolic Secant Subsidence Prediction Model under Thick Loose Layer Mining Area

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