Optimization of Blasting Parameters of Crane Beam at Rockwall in the Underground Workshop
Zhongfang Yang
Abstract
Zhongfang Yang
Abstract
The optimization model for blasting parameters of anchoring rock beam is established and its blasting parameters are optimized by making use of a strong mapped function of the neural network technology with the typical samples of other practical smooth blasting parameters.Meanwhile,the experimental blasting parameters for anchoring rock beam are determined by the in-site blasting experiments of the protective layer and platform of rock mass in similar conditions.The results show that the in-site experimental blasting parameters are preferably identical to those of the optimum design.The acoustic wave examination for the blasting of the protective layer and platform of rock mass indicates that the blasting effect is satisfied and its smaller loose ring of surrounding rock mass is obtained.
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The optimization model for blasting parameters of anchoring rock beam is established and its blasting parameters are optimized by making use of a strong mapped function of the neural network technology with the typical samples of other practical smooth blasting parameters.Meanwhile,the experimental blasting parameters for anchoring rock beam are determined by the in-site blasting experiments of the protective layer and platform of rock mass in similar conditions.The results show that the in-site experimental blasting parameters are preferably identical to those of the optimum design.The acoustic wave examination for the blasting of the protective layer and platform of rock mass indicates that the blasting effect is satisfied and its smaller loose ring of surrounding rock mass is obtained.
Key concepts: Rock blasting, Rock mass classification, Anchoring, Beam (structure), Geotechnical engineering, Geology, Structural engineering, Engineering