Study on Optimization Model and Solution of Bench Blasting Parameters in Open-pit Mine
While ensuring the blasting quality of bench blasting in open-pit mines,how to quickly optimize the blasting parameters and obtain a low blasting cost is a challenging issue in open-pit mines.A new optimization scheme is proposed for blasting design.Firstly,the Kuz-Ram prediction model is modified via the least square method on on-site blasting data.Then,a simplified optimization model is presented to minimize blasting cost on constraints of blasting requirements,and reasonable blasting parameters,such as burden,spacing etc.Finally,a fast differential evolution algorithm with auto-stop assessment is de-veloped to speed up optimization processing.The numerical simulation results show the rationality and efficiency of the pro-posed optimization scheme.The experiments performed on on-site data further demonstrate the feasibility and effectiveness of the proposed scheme,i.e.,the boulder rate in the granite explosion area is reduced to 2.5%,and the theoretical cost is re-duced by about 2%.The boulder rate in hematite explosion area is reduced to 0.3%,and the theoretical cost is reduced by a-bout 15%.
mine blastingoptimize blasting parametersoptimization schemedifferential evolution algorithmoptimization modelKuz-Ram prediction model
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