Surface dynamic subsidence prediction model based on multi-function crossover and its application

Abstract

In order to study the dynamic influence of working face mining on surface subsidence, taking a mine in Wuhai as the engineering background, the prediction function model of surface dynamic subsidence is constructed by using Knothe time function and probability integral method and combining Usher function. The parameters of the prediction model are obtained by using the field measured data, and the prediction formula of the trend and tendency dynamic subsidence is obtained. FLAC3D is used to simulate the process of surface dynamic subsidence caused by working face mining. The research results show that: the surface of the working face is uplifted at the initial stage of mining, and changes from uplift to subsidence in the middle stage, the working face reaches full mining, and the subsidence curve is “U-shaped” when the working face advances to 600 m; the dynamic subsidence curve drawn by numerical simulation and measured data has a high similarity with the subsidence curve drawn by the dynamic subsidence prediction formula of strike and tendency, which verifies the accuracy and practicability of the dynamic subsidence prediction formula.

Keywords

• mining subsidence
• time function
• usher function
• probability integral method
• numerical simulation
• engineering measurement