摘要
针对中铁十八局尼日利亚某公路项目碎石厂爆破后岩石大块率较高问题,基于单因素试验结果,以钻孔孔距、炮孔填塞长度、底盘抵抗线三因素为自变量,选取爆破岩石大块率为响应值进行响应面优化设计。试验结果显示,三因素对爆破岩石大块率的影响程度依次为:钻孔孔距>底盘抵抗线>炮孔填塞长度。通过Design expert 8.0软件分析得出,当钻孔孔距为2.0 m、炮孔填塞长度为2.0 m、底盘抵抗线为2.42 m时,所得的岩石大块率最小,为7.72%。为验证响应面法的优化效果,依据优化参数进行现场试爆,结果显示爆破岩石的大块率为7.81%,实际结果和响应面预测相差不大。
In response to the problem of high rock mass rate after blasting in a gravel plant of a Nigeria highway project of China Railway 18th Bureau Group, and based on the single factor test results, three factors such as hole spacing(M), hole filling length(M) and floor resistance line(M) were taken as independent variables, and the lump rate of blasting rock was selected as the response value to carry out response surface optimization design. The test results show that the influence degree of the three factors on the bulk ratio of blasting rock is as follows: spacing in drilling > bottom burden > filling length. According to the analysis of Design Expert 8.0 software, when the spacing in drilling is 2.0m, the filling length is 2.0m, and the bottom burden is 2.42m, the lump rate of the rock obtained is the minimum, which is 7.72%. In order to verify the optimization effect of response surface method, field test was carried out according to the optimized parameters in engineering blasting. The results show that under the optimized parameters selected by response surface method, the bulk rate of blasting rock is 7.81%, and the actual results are not much different from the prediction of response surface.
作者
左耀宗
ZUO Yao-zong(Tianjin International Engineering Company of China Railway 18th Bureau Group,Tianjin 300222,China)
出处
《广东水利电力职业技术学院学报》
2023年第1期21-23,46,共4页
Journal of Guangdong Polytechnic of Water Resources and Electric Engineering
关键词
响应面优化
大块率
回归模型
方差分析
response surface optimization
blasting bulk ratio
regression model
variance analysis
