会议专题

Prediction of Subsidence in steep seam mining based on probability integral

The deficiency of subsidence prediction in steep seam mining by the theory of equivalent effect is analyzed: more than 1/2 area of the subsidence basin is caused by the mining of downhill horizontal seam because of the great difference between rl and r2; r2 is too small that the sinking curve is almost vertical. According to the characteristic of that mining depth is quite different in steep seam mining, a new prediction model with variable r is put forward based on the probability integral model. The model is better than others for steep seam mining and can be adopted widely.

probability integral method steep seam major influencing radius unit mining

Zhao-jiang Zhang

Hebei University of Engineering Handan,China

国际会议

2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

南京

英文

151-153

2010-08-26(万方平台首次上网日期,不代表论文的发表时间)