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Influence of blast geometry in the prediction of blast-induced vibration: a case study of granite aggregate quarries | ||
| International Journal of Mining and Geo-Engineering | ||
| مقاله 9، دوره 60، شماره 2، شهریور 2026، صفحه 187-196 اصل مقاله (859.51 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijmge.2026.382402.595196 | ||
| نویسندگان | ||
| Shaib Abdulazeez Shehu* 1، 2؛ Mohd Hazizan Mohd Hashim3؛ Hareyani Zabidi3؛ Michael Adebola Jethro1؛ Kudirat Oziohu Yusuf4؛ Abdullateef Onimisi Jimoh5 | ||
| 1Department of Civil and Mining Engineering, Confluence University of Science and Technology (CUSTECH), Osara Kogi State, Nigeria. | ||
| 2School of Materials and Mineral Resources Engineering, University Sains Malaysia, Engineering Campus, Nibong Tebal, Malaysia. | ||
| 3School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia (USM). | ||
| 4Department of Civil Engineering, Kogi State Polytechnic, Lokoja, Nigeria. | ||
| 5Department of Geology, Federal University, Lokoja, Nigeria. | ||
| چکیده | ||
| Ground vibration is an inherent hazard of rock blasting and can impair the safety of lives and properties. Therefore, accurate prediction of vibration is imperative. Vibration is commonly evaluated using scaled distance without considering blast geometry. This study investigated the influence of blast geometry on the prediction of blast-induced vibration by using datasets from two quarries. Blast geometry was incorporated into the traditional scaled distance model to predict peak particle velocity (PPV). PPV was predicted by performing regression analyses using scaled distance and blast geometry as independent variables. Furthermore, the evaluated trend, sensitivity, and associated errors compared the predicted PPV with the measured PPV. The blast geometry modified approach in a nonlinear multiple regression model ranked best with an overall average grading of 90% and 92% on Excel Solver and SPSS iterations, respectively. Scaled distance is still the most potent factor in predicting blast vibration but yields lower accuracy when used without blast geometry. The cumulative performance of the investigated parameters using a neural network shows an excellent relationship between the predicted and measured peak particle velocities with a correlation coefficient of 0.93. Therefore, the traditional scaled distance should be complemented with blast geometry for better accuracy. | ||
| کلیدواژهها | ||
| Blasting؛ Vibration؛ Peak particle velocity؛ Scaled distance؛ Blast geometry | ||
| مراجع | ||
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