物理模型相似材料力学特性与配比优化研究

    Study on mechanical properties and proportion optimization of similar materials for physical model

    • 摘要: 为确定煤矿开采物理模型中的相似材料配比(质量比),以细河砂、石膏、石灰和水等为原材料,开展了3因素5水平正交试验,利用SPSS软件建立多元线性回归模型,拟合得到各试验力学参数的回归方程,获得了砂胶比、灰膏比及含水率对相似材料密度与单轴抗压强度的影响规律,确定了相似材料的配比。结果表明:砂胶比对相似材料的密度和单轴抗压强度起主要控制作用;在5%显著性水平下,砂胶比对密度和单轴抗压强度有极显著影响,灰膏比和含水率对密度及单轴抗压强度均无统计学显著影响,但存在一定规律性影响;密度和单轴抗压强度随砂胶比升高而减小,随灰膏比升高先略微增大,达到极大值(灰膏比5∶5)后减小;密度随含水率升高先增大后减小,在含水率为15%时达到最大值,但含水率对单轴抗压强度无显著规律性影响。结合3因素5水平正交试验结果建立多元线性回归方程模型,将各因素水平值作为自变量,进行标准化残差分析。结果表明:残差在垂直方向上大致呈对称分布,模型预测残差在各拟合Y值水平上相对均匀,无显著趋势或偏斜;获得了潘北煤矿13号煤层及其顶底板相应的配比:砂质泥岩选用第5组配比(细河砂∶碳酸钙∶石膏=10∶7∶3),中砂岩选用第7组配比(细河砂∶碳酸钙∶石膏=8∶7∶3),细砂岩选用第18组配比(细河砂∶碳酸钙∶石膏=8∶4∶6)。所得的多元线性回归方程可用于预测不同配比条件下相似材料的密度和单轴抗压强度。

       

      Abstract: To determine the proportion (mass ratio) of similar materials for physical models in coal mining, orthogonal experiments with 3 factors and 5 levels were conducted using fine river sand, gypsum, lime and water as raw materials. A multiple linear regression model was established using SPSS software, and regression equations for the mechanical parameters of each test were fitted. The influence laws of sand-binder ratio, lime-gypsum ratio and water content on the density and uniaxial compressive strength (UCS) of similar materials were obtained, and the optimal proportion for similar material tests was determined. Results show that the sand-binder ratio plays a dominant role in controlling the density and UCS of similar materials. At a significance level of 5%, the sand-binder ratio has an extremely significant effect on density and UCS, whereas the lime-gypsum ratio and water content exert no statistically significant influence but show certain regular effects. Both density and UCS decrease with the increase of sand-binder ratio, and first increase slightly with the rise of lime-gypsum ratio before decreasing after reaching the maximum value at a ratio of 5∶5; density rises initially and then falls with increasing water content, peaking at a water content of 15%, while water content has no obvious regular effect on UCS. A multiple linear regression equation model was established based on the orthogonal experimental results of 3 factors and 5 levels, with the level values of each factor taken as independent variables. Standardized residual analysis indicates that residuals are approximately symmetrically distributed in the vertical direction, and the predicted residuals of the model are relatively uniform at each fitted Y-value level without significant trends or skewness. The corresponding proportions for No.13 coal seam and its roof and floor in Panbei Mine were determined: sandy mudstone adopts the 5th proportion (fine river sand∶calcium carbonate∶gypsum=10∶7∶3), medium-grained sandstone adopts the 7th proportion (fine river sand∶calcium carbonate∶gypsum=8∶7∶3), and fine-grained sandstone adopts the 18th proportion (fine river sand∶calcium carbonate∶gypsum=8∶4∶6). The derived multiple linear regression equations can be used to predict the density and UCS of similar materials under different proportion conditions.

       

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