Prediction Correction Model of Surface Ground Subsidence Above Steep Inclined Seam Mining
Abstract：In order to study the suitability of the probability integral method applied to the mining subsidence estimation of a steep inclined seam, a simulation study method of the similar material model was applied. With the nonlinear least square fitting method of Matlab, the results showed that partial surface ground moving parameters obtained from the fitting could not meet the original physical meaning. Thus a surface ground subsidence estimation correction model was provided based on the probability integral method. The correction effect of the model was analyzed and the correction parameters were obtained. The study results showed that when the seam angle was 50 - 70°, the subsidence fitting accuracy of the model would be less than 2% and the expression between the correction parameter and the seam inclina- tion could be obtained. When the seam angle was over 70°, the model would not be suitable.
Keywords：steep inclined seamsimilar material modelprobability integral methodsubsidence fittingcorrection model
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 11-13,17 )