Forecast system for blasting vibration velocity peak based on Matlab and BP neural network

Shi Jianjun; Li Qingya; Zhang Qi; Wei Xing; Wang Hui

doi:10.11883/1001-1455(2017)06-1087-06

Volume 37 Issue 6

Sep. 2017

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Shi Jianjun, Li Qingya, Zhang Qi, Wei Xing, Wang Hui. Forecast system for blasting vibration velocity peak based on Matlab and BP neural network[J]. Explosion And Shock Waves, 2017, 37(6): 1087-1092. doi: 10.11883/1001-1455(2017)06-1087-06

Citation:

Shi Jianjun, Li Qingya, Zhang Qi, Wei Xing, Wang Hui. Forecast system for blasting vibration velocity peak based on Matlab and BP neural network[J]. Explosion And Shock Waves, 2017, 37(6): 1087-1092. doi: 10.11883/1001-1455(2017)06-1087-06

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Forecast system for blasting vibration velocity peak based on Matlab and BP neural network

doi: 10.11883/1001-1455(2017)06-1087-06

School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2016-03-30
Rev Recd Date: 2016-09-03
Publish Date: 2017-11-25

Abstract

Abstract

In this work we combined the powerful computing capabilities of Matlab programs combined with VB friendly interface and developed the forecast system for blasting vibrational velocity peak using ActiveX automation technologies and BP neural network algorithm. The forecast system can select as an input parameter various factors affecting an engineering project's blasting vibration. The actual application of the system in the construction of the underground cut tunnel in the Beijing-Changping Line shows that this system is simple and convenient to use in practical engineering, accepted for its high precision of prediction, good application effect and friendly human-computer interaction interface.
- VB,
- Matlab,
- BP neural network model,
- blasting vibration,
- forecast system

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References(10)

References

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