Finally, it was observed that utilizing GOA technique, PPV can be reduced by 67% with optimized blast parameters including burden of 3.21 m, spacing of 3.75 m, and charge per delay of 225 kg.
#ADVANCE MICROMATE TRIAL#
Construction of GOA model was performed using a trial and error mechanism to find out the best possible pertinent GOA parameters. Also, to optimize blast pattern attaining minimum ground vibration during blasting operation, the developed functional GEP model was taken as objective function for grasshopper optimization algorithm (GOA). In this paper, a gene expression programming (GEP) model was developed to predict PPV using various blasting patterns as model inputs, which showed a high level of accuracy for the implemented model. Nowadays, efficient application of intelligent systems has been approved in different branches of science and technology.
Measuring peak particle velocity (PPV) is helpful to know the actual vibration level but prediction of blast vibration prior to the blast is a tedious job due to involvement of blast design, explosive and rock parameters. For all the blasts, the applied blast design parameters, such as burden (B), spacing (S), charge per delay (CPD), and distance from the blast face to monitoring point (DI) were measured and recorded.īlast-induced ground vibration is considered as one of the most hazardous phenomena of mine blasting, which can even cause casualties and severe damages to the adjacent properties. Multikernel Engineering with Computers ground vibration database was randomly divided with a ratio of 80-20%. Many hybrid ANN CPD, DIS, PF, SD Yu et al. Hierarchical clustering CPD, DIS, S, B, PF Rezaeineshat et al. fuzzy C-means CPD, DIS, H, S, B, D, T, PF Nguyen et al. GEP CPD, DIS, H, S, B, D, T, PF Khandelwal et al. ICA-ANN CPD, DIS, E, PF, PWV, B, S Faradonbeh et al. PSO-ANN CPD, D, NO, RD, SD, S, B, T, PF Hajihassani et al. The blast-induced FIS CPD and DIS Armaghani et al. In this study, input variables were selected based on previous research. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance".
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