摘要
由于料浆的质量浓度、粉煤灰与水泥耗量之比,灰砂比与胶结充填体的强度存在着非确定性的相关关系,这种相依关系受随机误差的干扰。因此在大量试验的基础上,利用Matlab软件建立了多元线形回归模型,通过实验数据找出随机变量与控制变量之间的相关关系,为充填料的优化配比提供了理论依据,并实现了充填体强度的预测。
There were the non-definite dependent relations in mass concentration of slime, ratio of pulverized coal ash and the cement consumption, lime-to-sand ratio and strength of cemented filling body, therefore, the relations were disturbed by random errors. On the basis of a large number of experiments, the multiple linear regression model was established using Matlab software. The dependent relations between the random variables and the control variables were found out through the experiment data, which provided the main theoretic bases for optimization proportioning of cemented filling material and realized strength forecasting of filling body.
出处
《矿业快报》
2006年第12期20-23,共4页
Express Information of Mining Industry
基金
2006中南大学创新教育资助项目(LB06097)
关键词
胶结充填料
多元回归
优化配比
预测
Cemented filling material
Multiple regression
Optimization proportioning
Forecasting
