Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations
| العنوان: | Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations |
|---|---|
| المؤلفون: | Manoj Khandelwal, Parichehr Bayat, Masoud Monjezi, Amirhossein Mehrdanesh |
| المصدر: | Engineering with Computers. 38:3341-3350 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Explosive material, business.industry, Computer science, General Engineering, Intelligent decision support system, Structural engineering, Trial and error, Computer Science Applications, Vibration, Modeling and Simulation, Ground vibrations, Sensitivity (control systems), Particle velocity, business, Gene expression programming, Software |
| الوصف: | Blast-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. 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. Nowadays, efficient application of intelligent systems has been approved in different branches of science and technology. 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. 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). Construction of GOA model was performed using a trial and error mechanism to find out the best possible pertinent GOA parameters. 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. A sensitivity analysis was also performed to understand the influence of each input parameters on the blast vibrations. |
| تدمد: | 1435-5663 0177-0667 |
| DOI: | 10.1007/s00366-021-01336-4 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::23dedbd345ea0ae409fe642194d1f5ed https://doi.org/10.1007/s00366-021-01336-4 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........23dedbd345ea0ae409fe642194d1f5ed |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14355663 01770667 |
|---|---|
| DOI: | 10.1007/s00366-021-01336-4 |