Analysis of Pre-splitting Blasting Parameters Based on Multiple Linear Regression Model
One open-pit copper mine employs pre-split blasting control technology for steep end-slope mining.To further optimize the pre-split blasting parameters and analyze their impact on blasting effectiveness,this study introduces a multiple linear regression model.The target variables are the pre-split hole spacing and the distance from the pre-split crack to the buffer hole row,while the unfragmented rock volume serves as the predictor variable.Pre-split blasting experiments are conducted using a two-factor three-level uniform design method.The research findings are as follows:① The multiple linear regression model achieves a good fit with,indicating its suitability for optimizing pre-split blasting parameters;② Keeping other pre-split blasting parameters constant,it is recommended to select pre-split hole spacing and the distance from the pre-split crack to the buffer hole row as 1.1 m and 2.4 m,respectively,to achieve the best blasting results;③ Pre-split hole spacing shows a positive correlation with the unfragmented rock volume,while the distance from the pre-split crack to the buffer hole row has a greater impact on the unfragmented rock volume.
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维普
