- Title
- Risk assessment and prediction of flyrock distance by combined multiple regression analysis and Monte Carlo simulation of quarry blasting
- Creator
- Armaghani, Danial; Mahdiyar, Amir; Hasanipanah, Mahdi; Faradonbeh, Roohollah; Khandelwal, Manoj; Amnieh, Hassan
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154494
- Identifier
- vital:11106
- Identifier
-
https://doi.org/10.1007/s00603-016-1015-z
- Identifier
- ISSN:0723-2632
- Abstract
- Flyrock is considered as one of the main causes of human injury, fatalities, and structural damage among all undesirable environmental impacts of blasting. Therefore, it seems that the proper prediction/simulation of flyrock is essential, especially in order to determine blast safety area. If proper control measures are taken, then the flyrock distance can be controlled, and, in return, the risk of damage can be reduced or eliminated. The first objective of this study was to develop a predictive model for flyrock estimation based on multiple regression (MR) analyses, and after that, using the developed MR model, flyrock phenomenon was simulated by the Monte Carlo (MC) approach. In order to achieve objectives of this study, 62 blasting operations were investigated in Ulu Tiram quarry, Malaysia, and some controllable and uncontrollable factors were carefully recorded/calculated. The obtained results of MC modeling indicated that this approach is capable of simulating flyrock ranges with a good level of accuracy. The mean of simulated flyrock by MC was obtained as 236.3 m, while this value was achieved as 238.6 m for the measured one. Furthermore, a sensitivity analysis was also conducted to investigate the effects of model inputs on the output of the system. The analysis demonstrated that powder factor is the most influential parameter on fly rock among all model inputs. It is noticeable that the proposed MR and MC models should be utilized only in the studied area and the direct use of them in the other conditions is not recommended.
- Publisher
- Springer-Verlag Wien
- Relation
- Rock Mechanics and Rock Engineering Vol. 49, no. 9 (2016), p. 3631-3641
- Rights
- Copyright ©Springer-Verlag Wien 2016
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0905 Civil Engineering; 0914 Resources Engineering and Extractive Metallurgy; Flyrock distance; Multiple regression model; Monte Carlo approach; Sensitivity analysis
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