• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 20 Issue 5
Oct.  2007
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Article Contents
XIAO Qinghua, ZHANG Jichun, XIA Zhenrong. Calculation of Tunnel Blasting Parameters Based on Prior Knowledge and BP Neural Network[J]. Journal of Southwest Jiaotong University, 2007, 20(5): 537-541.
Citation: XIAO Qinghua, ZHANG Jichun, XIA Zhenrong. Calculation of Tunnel Blasting Parameters Based on Prior Knowledge and BP Neural Network[J]. Journal of Southwest Jiaotong University, 2007, 20(5): 537-541.

Calculation of Tunnel Blasting Parameters Based on Prior Knowledge and BP Neural Network

  • Received Date: 23 Oct 2006
  • Publish Date: 25 Oct 2007
  • To overcome the shortcoming of the parameter design of tunnel blasting,i.e.,they are selected empirically by designers,a three-layer neural network model with an input layer,an output layer and a hidden layer was constructed.The Protodikonov’s hardness coefficient,tunnel cross-section area,practical advance per round,blast-hole diameter and others are considered as the input parameters of a BP network,and the designed advance per round,powder factor,contour hole spacing,reliever-hole spacing and excavated-hole spacing as the output parameters.A algorithm for the neural network model was given,and the restrain conditions of network study were proposed on the basis of blasting prior knowledge,so solving of the model can be accelerated.The calculating results for a practical example of tunnel blasting design show that with the help of the neural network model and the algorithm,the parameters of tunnel blasting may be calculated accurately and quickly by using the existed blasting data,so an optimal blasting effect can be obtained.

     

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