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What is AI-Enhanced Tunnel Blast Optimization about?

This study presents a hybrid model utilizing a multilayer perceptron (MLP) and meta-heuristic algorithms to enhance tunnel blast performance by accurately predicting post-blasting indicators and optimizing blasting parameters. The model demonstrated a significant reduction in overbreak areas by up to 56.1% and identified geological conditions as the most influential factor affecting overbreak. The findings provide valuable insights for blast design and parameter optimization in tunnel excavation.

Author

Kevin Marquez

Language

EN