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《Science of Surveying and Mapping》 2009-04
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Determination of surface subsidence prediction parameters for strip pillar mining

CHAI Hua-bin,ZOU You-feng(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,China)  
Probability integral method is typically used in predicting the surface displacement and distortion for strip pillar mining,but the prediction precision lies on its predicting parameters.According to a mass of practical data from the ground movement monitoring stations in China,the fuzzy cluster analysis of the resembling phenomena clusters on mining subsidence was carried out by the similarity theory,and the basic strata displacement parameters of strip pillar mining were calculated out.Based on the classification of strip pillar mining resembling phenomena clusters and the basic strata displacement parameters,the surface displacement parameters of strip pillar mining for a new mine were determined by fuzzy pattern recognition.An engineering instance shows that the surface displacement and distortion,calculated with the fuzzy-optimized predicting parameters,are more valid and reliable.
【Fund】: 国家自然科学基金项目(40672177);; 河南省教育厅科技攻关项目(2007440005)
【CateGory Index】: P642.26
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