Estimation Equations for Back Break and Ground Vibration Using Genetic Programming

摘要

The advent of advanced computer programs, artificial intelligence techniques, algorithms, and numerical modelling techniques and their application in the mining industry, especially in the blasting field, has increased the efficiency of estimating outcomes (such as Back break and ground vibration). These blasting hazards have led to increased blasting costs and decreased the mine's operational efficiency. This study has chosen blast design parameters to formulate a back break and ground vibration prediction equation. The formulated equations using Genetic programming used more parameters than those used by empirical equations to estimate ground vibration. The back break and ground vibration equations used significant parameters to estimate the results. The training and validation R-2 (coefficient of determination) for ground vibration was 0.8752 and 0.8527, and the back break was 0.8347 and 0.8434, respectively.