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Abstract
The purpose of mining subsidence prediction is to establish a reliable assessment for surface subsidence resulting from underground mining. In this study, a new method for predicting subsidence in two-seam mining is proposed. First, the surface subsidence due to mining the upper seam is monitored. Then, taking the subsidence data as indicators, the optimal mechanical parameters of overlying strata can be obtained by orthogonal experimental design and inverse analysis of numerical simulation. Finally, further subsidence is calculated and predicted by the numerical model. A case of two-seam underground mining is studied using this methodology. This coal mine is located in the Dongsheng coal field in Inner Mongolia, China. Based on GPS surface subsidence monitoring and parameter inversion, the subsidence induced by two-seam mining is estimated and predicted. This study shows that the ratio of the height of overlying strata to mining thickness (H/M), mining configuration and adjacent mining have a significant effect on the surface subsidence caused by two-seam mining. By parameter inversion, the proposed optimal parameters can be applied to predict the subsidence of a nearby mine with similar stratigraphic conditions. Furthermore, this methodology can also be used to predict the subsidence caused by mining of more than two seams.
Highlights
IntroductionChina accounted for 40% of worldwide coal production. the coal production of Inner Mongolia has reached one billion tons per year, gradually increasing to 25% ofChina’s production
In the last decade, China accounted for 40% of worldwide coal production
This study shows that the ratio of the height of overlying strata to mining thickness (H/M), mining configuration and adjacent mining have a significant effect on the surface subsidence caused by two-seam mining
Summary
China accounted for 40% of worldwide coal production. the coal production of Inner Mongolia has reached one billion tons per year, gradually increasing to 25% ofChina’s production. The coal production of Inner Mongolia has reached one billion tons per year, gradually increasing to 25% of. Due to longwall mining methods, the scope of subsidence is increasing year by year, and deterioration of the environment, destruction of natural landscapes, grassland degradation, and desertification are expanding in Inner Mongolia. It is essential to establish a reliable subsidence prediction method for longwall mining. Subsidence prediction in single-seam mining mainly uses empirical methods, numerical modeling methods (e.g., finite element methods, finite difference methods, discrete element methods), physical modeling methods, and theoretical analysis methods (e.g., influence function methods, profile function methods) [5,6,7,8,9,10,11,12,13,14,15,16,17]
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