ISSN 2096-4498
CN 44-1745/U
ISSN 2096-4498
CN 44-1745/U
Application of Tunnel Blasting Vibration Disaster Prediction Based on LMBP Neural Network
Received date: 2015-11-02
Revised date: 2015-12-30
Online published: 2016-05-25
The BP neural network model, with charging amount of blasting cut, blasting center distance and blasting velocity as main factors, is established based on LeyenbergMarquardt (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 LMBP 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.
JIANG Li , HUANG Huadong , WANG Xianyi , CHEN Huashen . Application of Tunnel Blasting Vibration Disaster Prediction Based on LMBP Neural Network[J]. Tunnel Construction, 2016 , 36(5) : 525 -530 . DOI: 10.3973/j.issn.1672-741X.2016.05.005
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