Research on Optimization Model of Tunnel Smooth Blasting Parameters Based on Genetic Algorithm
Tunnel smooth blasting is a controlled blasting technique that can keep the new wall surface smooth and free from obvious damage.A tunnel smooth blasting parameter optimization model based on genetic algorithm is proposed,which takes the comprehensive evaluation function of tunnel blasting effectiveness as the objective func-tion,with constraints such as tunnel excavation section dimensions,rock mass classification,and geological condi-tions.The decision variables include the spacing between peripheral blastholes,blast layer thickness,and explosive charge quantity.Through operations such as selection,crossover,and mutation,new individuals are continuously gen-erated.Individuals are evaluated based on their fitness function,ultimately obtaining the optimal or near-optimal tunnel blasting parameters.Through the example analysis,the validity and feasibility of the model are verified,which provides reasonable and optimized smooth blasting parameters for tunnel engineering,and improves the quality and safety of tunnel.
tunnel smooth blastinggenetic algorithmparameter optimizationfitness function
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