Control of Rock Block Fragmentation Based on the Optimization of Shaft Blasting Parameters
| Autor: | Wang Guoshu, Zhanyou Luo, Cheng Yunxin, Man Huang, Pan Jiangbo, Li Qingxiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
QE1-996.5
Article Subject integumentary system 0211 other engineering and technologies Geology 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Inversion analysis Inrush current Construction method General Earth and Planetary Sciences Geotechnical engineering Hidden layer Block size Tunnel ventilation 021101 geological & geomatics engineering 0105 earth and related environmental sciences Rock blasting |
| Zdroj: | Geofluids, Vol 2020 (2020) |
| ISSN: | 1468-8123 1468-8115 |
| Popis: | In the construction of shaft, the blockage of the mucking shaft may cause the mud-water inrush disaster. Oversized rock fragmentation is the main cause for the blockage of the mucking shaft in the raise boring machine (RBM) construction method. The influence degree of blasting parameters on rock fragmentation after blasting is quantified by adopting analytic hierarchy process (AHP). On this basis, the shaft blasting maximum rock fragmentation control model based on double hidden layer BP neural network is proposed. Results show that the maximum rock fragmentation discharged from the mucking shaft after blasting should not exceed 1/3 of the diameter of the slag chute. The influence weight of the minimum resistance line that accounts to 15.6%, when AHP is applied for the quantification of the blasting parameters, can be regarded as the most important blasting parameter. The average absolute errors between the predicted value and the actual value of the largest block size control model of the shaft blasting are only 2.6%. The inversion analysis of the model can rapidly obtain the required blasting parameters, which can be used to guide the construction of the tunnel ventilation shaft. |
| Databáze: | OpenAIRE |
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