基于SPSS的胶结充填配比及多元线性回归分析试验研究

以姑山矿业公司充填开采项目为依托,在已有充填材料的基础上,通过正交设计进行配比试验,利用SPSS软件建立多元线性回归模型,拟合得出各试验指标的回归方程,得到料浆浓度、矿渣微粉掺量和灰砂比对充填体和料浆性能参数的影响规律,确定了因素的主次顺序和影响程度。试验结果表明:影响充填体28 d单轴抗压强度的次序为灰砂比>料浆浓度>矿渣微粉掺量;影响充填料浆坍落度、泌水率和沉缩率的因素次序为料浆浓度>灰砂比>矿渣微粉掺量。通过对回归模型作F检验、t检验、回归诊断得到:料浆浓度、矿渣微粉掺量、灰砂比之间不存在共线性,其整体对回归方程、回归系数有显著性影响,多元线性回归方程拟合效果良好。

Experimental research on cement filling ratio and multiple linear regression analysis based on SPSS

Based on the filling mining project of Gushan Mining Company,on the basis of existing filling materials,the ratio test is carried out through orthogonal design to measure the parameters of filling body,such as uniaxial compression strength,slump of filling slurry,bleeding rate and shrinkage rate. Multiple linear regression model was established based on SPSS and obtained the regression equations of each test index by fitting,and the influence rules of slurry concentration,slag powder content,cement-sand ratio on the performance indexes of backfill and slurry were obtained,and the priority order and influential degree of factors were determined. The test results show that the order of influence on the uniaxial compressive strength of the filling body 28 d is: cement-sand ratio > slurry concentration >slag powder content. The factors affecting the slump degree,bleeding rate and shrinkage rate of the filling slurry are:slurry concentration > cement-sand ratio > slag powder content. By conducting the F test,t test and regression diagnosis of the regression model,it is known that there is no collinearity between the concentration,the slag powder and the cement-sand ratio. As a whole,it has significant influence on the regression equation and the regression coefficient,and the multivariate linear regression equation has a good fitting effect.