Research on Surface Movement Parameters of Shallow Buried Coal Seam with Central Force Optimization

Abstract

The Probability integral method is one of the widely used methods for mining subsidence prediction. Due to the influence of surface terrain and stratum distribution factors, surface subsidence, tilt, curvature and horizontal movement for the shallow buried coal seam mining in mountainous areas, which are mostly based on the measured data or engineering experiences. In this paper, a prediction model of modified probability integral method was established, and a kind of improved central force optimization was also designed, which was based on the characteristics of surface movement in mountainous areas. Moreover, the main parameters of the model were fitted. The numerical results show that the algorithm is effective. Calculation parameter error is small, which conforms to reality. And it also has high application value.