Abstract In order to investigate the relationship between uniaxial compressive strength(UCS) and elastic modulus of mudstone and sandstone in coal bearing strata,the uniaxial compressive tests of rock in No.11–2 coal seam roof of Gubei coal mine in Huainan mining area are conducted;and then 120 groups test data are obtained. Regarding the UCS as the dependent variable and the elastic modulus as the independent variable,six regression equations are proposed through the professional mathematical statistics software SPSS19.0,which are linear function,logarithmic function,quadratic function,cubic function,exponential function and power function respectively. The best nonlinear regression predictive model of the uniaxial compressive strength,namely quadratic regression equation,is established based on statistical analyses,which are regression equation significant test,regression coefficients significant test,goodness-of-fit test for regression equation,D-W inspection,linear regression equation of inspection,normality test and randomness test. Finally,the nonlinear regression predictive model is used to forecast the rock UCS in the No.11–2 coal seam roof of Zhangji and Pan?er coal mines in Huainan mining area. Comparative results show that the predicted values and the tested values are in good agreement and the model could be used to predict rock mechanical parameters in similar coal bearing strata.
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Received: 03 June 2013
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