Rockmass classification to Artificial Intelligent Techniques for solving Environmental issues due to Blasting in Tropically Weathered Rocks

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4. Rockmass classification to Artificial Intelligent Techniques for solving Environmental issues due to Blasting in Tropically Weathered Rocks

For hard rock excavation, blasting is essential activity for breaking rock masses. Environmental issues such as Flyrock, Ground vibration and Air Over Pressure (AOp) are created due to the blasting. On the other hand, blasting engineer faces challenge due to large size boulders created during primary blasting. Limestone as sedimentary rock and granite, andesite as igneous rocks in tropical region are selected for this study. Each rock type is classified based on the degree of weathering. Limestone is classified into four classes known as W1, W2, W3 and W4. On the other hand, igneous rocks are classified into five classes namely Fresh (F), Slightly Weathered (SW), Moderately Weathered (MW), Highly Weathered (HW) and Completely Weathered (CW). During last decade blast performance is predicted using Artificial Intelligence (AI) techniques with in put parameters based on blast design, rock mass and explosives. Hybrid models with artificial neural network (ANN) performed better as compared to ANN models. For prediction of flyrock, extreme learning machine (ELM) optimized by biogeography-based optimization (BBO) -ELM BBO model; particle swarm optimization (PSO)- ELM model; PSO-ANN model; hybrid models including Harris Hawks optimization-based Multilayer perception (MLP) (known as HHO-MLP) and whale optimization algorithm-based MLP (known as WOAMLP) are compared. For prediction of AOp, a fuzzy Delphi method (FDM) with two decision-tree algorithms, namely extreme gradient boosting tree (XGBoost-tree), random forest (RF), genetic programming (GP) are compared. For prediction of ground vibration, hybrid extreme learning machines (ELMs) with the grasshopper optimization algorithm (GOA) and Harris hawks optimization (HHO) are compared.

9th International Congress on Environmental Geotechnics (ICEG2023)

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