Research on dynamic subsidence prediction model based on Hill function
In order to meet the urgent need for accurate prediction of ground dynamic subsidence for the dynamic control of subsidence land,theoretical analysis and field measurement are carried out in combination.Starting from the analysis of the dynamic subsidence process of ground points,the variation law of subsidence amount,velocity and acceleration of ground points in the dynamic subsidence process is clarified.On this basis,a dynamic subsidence prediction model based on Hill function is established,which conforms to the evolution process of dynamic subsidence of ground points.The model is verified by the measured data of surface subsidence in the 5316 working face of Jining No.3 Coal Mine,the 3307 working face of Dongtan Coal Mine and the CG1301 working face of Yineng Coal Mine.The results show that the relative mean error of each case can be controlled within 3%,indicating that dynamic subsidence prediction of the ground points can be achieved using the proposed model.
mining subsidencedynamic predictionsubsidence landtime functiondynamic control