A Comprehensive Evaluation Method of Bench Blast Performance in Open-Pit Mine
| Autor: | Mingqing Liu, Jun Liu, Mengyang Zhen, Futian Zhao, Zhimin Xiao, Peng Shan, Yue Wang, Chen Ou, Haowen Zheng, Zheng Liu |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Applied Sciences, Vol 10, Iss 16, p 5398 (2020) |
| Druh dokumentu: | article |
| ISSN: | 10165398 2076-3417 |
| DOI: | 10.3390/app10165398 |
| Popis: | In blasting operation, some undesirable impacts, such as fly-rock, fragmentation, and back break, are induced. If the blasting design is not optimized, these mentioned impacts would reduce the blasting efficiency. To improve and optimize the blast design, blasting effect evaluation is essential. Due to the complexity of interactions among blasting parameters, empirical methods may not be appropriate for blast design optimization. A two-level mathematical model based on fuzzy mathematics, is proposed in this work. In total, 11 typical parameters were chosen and classified into three groups. The blasting effect is evaluated from three aspects, and then the comprehensive evaluation is given. A blasting effect evaluation system was developed based on the mentioned method on the platform of VC++. Some other techniques, such as image processing, were integrated into the system, which allowed for obtaining all of the parameters rapidly and conveniently. The system was applied in practical bench blast engineering. The results obtained from the system can provide effective information for the optimization of the next blast design. |
| Databáze: | Directory of Open Access Journals |
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