ISSN 2096-4498

   CN 44-1745/U

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Tunnel Construction ›› 2016, Vol. 36 ›› Issue (5): 525-530.DOI: 10.3973/j.issn.1672-741X.2016.05.005

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Application of Tunnel Blasting Vibration Disaster Prediction Based on LMBP Neural Network

JIANG Li1, HUANG Huadong1, 2, WANG Xianyi2, CHEN Huashen3   

  1. (1. Chongqing Municipal Administration Design and Research Institute, Chongqing 400020, China; 2. College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 3. Fujian Bo Hai Engineering Technology Co., Ltd., Fuzhou 350012, Fujian, China)
  • Received:2015-11-02 Revised:2015-12-30 Online:2016-05-20 Published:2016-05-25

Abstract:

The BP neural network model, with charging amount of blasting cut, blasting center distance and blasting velocity as main factors, is established based on LeyenbergMarquardt (LM) calculation method; and the blasting vibration velocity is predicted and analyzed. The charging amount of blasting cut is calculated by means of critical blasting vibration velocity in related criteria. The calculation results show that LMBP neural network method is superior to traditional method in terms of prediction of blasting vibration velocity; the blasting cut charging amount calculated by means of critical blasting vibration velocity inverse calculation method is rational and effective.

Key words: LevenbergMarquardt calculation, BP neural networks, tunnel blasting vibration, disaster prediction

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