Applications of Two Neuro-Based Metaheuristic Techniques in Evaluating Ground Vibration Resulting from Tunnel Blasting

Peak particle velocity (PPV) caused by blasting is an unfavorable environmental issue that can damage neighboring structures or equipment. Hence, a reliable prediction and minimization of PPV are essential for site. To estimate tunnel blasting, this paper proposes two neuro-based metaheuristic models: neuro-imperialism neuro-swarm. The was made based on extensive observation data collecting from tunnelling project concerned about the presence temple near operations A detailed modeling procedure conducted to values using both empirical methods intelligence techniques. As fair comparison, base model considered benchmark in intelligent modeling, artificial neural network (ANN), also built predict same output. developed models were evaluated several calculated statistical indices, such as variance account (VAF) a-20 index. equation findings revealed there still room improvement implementing other This demonstrated proposing neuro-swarm, neuro-imperialism, ANN models. neuro-swarm outperforms others terms accuracy. VAF 90.318% 90.606% index 0.374 0.355 training testing sets, respectively, obtained induced blasting. proposed investigation be utilized with acceptable level accuracy within site conditions input ranges used study.