| Large scale mining of underground coal resources causes or brings out hazards of geological environment including sinking, fault and fracture of the ground, which are called coal-mining-induced subsidence. It has become one of main factors which worsen ecological environment and restrict the development of economy and social sustainable of the coal mining areas. The precise prediction of coal-mining-induced subsidence before mining is a premise to control coal-mining-induced subsidence by limiting mining. Therefore, a software to predict coal-mining-induced subsidence based on geological viewpoint is worked out. The design idea and the practical application of the software are mainly introduced in this thesis. The pivot in the thesis is about the prediction of coal-mining-induced subsidence under the condition of random-shape faces and steep coal seams.Being introduced into the prediction model not only mining factors but also main geological factors influencing coal-mining-induced subsidence, the software can simulate accurately the development process of surface movement and distortion with a working face advancing.The software possesses the function of automatical counting the data of geological factors which influence coal-mining-induced subsidence base on the geological database of research area. The software is based on the probability integral principle. With the help of this software any user can obtain the prediction results about ground subsidence induced by coal mining of random-shape faces, and the prediction graphs such as surface subsidence, slant, curvature, level movement and level distortion in random orientation section. The coal-mining-induced subsidence of an arbitrary spot within the subsidence basin can be calculated automatically. The empirical formula Piersen III function is used to predict the surface subsidence induced by steep coal seam mining, and draw the prediction graphs of surface movement and... |
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