Prediction of blasting vibration of area near tunnel blasting source

Zhang Zai-chen; Lin Cong-mou; Huang Zhi-bo; Ge Bing-yang; Xu Liang

doi:10.11883/1001-1455(2014)03-0367-06

Volume 34 Issue 3

Aug. 2014

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Zhang Zai-chen, Lin Cong-mou, Huang Zhi-bo, Ge Bing-yang, Xu Liang. Prediction of blasting vibration of area near tunnel blasting source[J]. Explosion And Shock Waves, 2014, 34(3): 367-372. doi: 10.11883/1001-1455(2014)03-0367-06

Citation:

Zhang Zai-chen, Lin Cong-mou, Huang Zhi-bo, Ge Bing-yang, Xu Liang. Prediction of blasting vibration of area near tunnel blasting source[J]. Explosion And Shock Waves, 2014, 34(3): 367-372. doi: 10.11883/1001-1455(2014)03-0367-06

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Prediction of blasting vibration of area near tunnel blasting source

doi: 10.11883/1001-1455(2014)03-0367-06

Research Institute of Geotechnical Engineering, Huaqiao University, Xiamen 361021, Fujian, China

Funds: Supported by the National Natural Science Foundation of China (51109084)

Received Date: 2012-10-09
Rev Recd Date: 2013-01-23
Publish Date: 2014-05-25

Abstract

Abstract

The conception of scaled distance was applied to tunnel blasting vibration zoning and the zoning was judged by the slope of velocity attenuation curve.Based on the results, the BP wavelet neural network method for tunnel blasting vibration velocity near tunnel blasting source was proposed, then the method was used in the Qipanshan tunnels to verify the reliability of the model.Combined with the engineering practice of Dapingshan tunnels, new tunnel next to existing tunnel blasting seismic wave attenuation law was analyzed and blasting vibration velocity near tunnel blasting source was predicted.The results show that:(1)The tunnel blasting vibration zoning can be judged by scaled distance as follow:scaled distance < 5.0 for the area near tunnel blasting source; 5.0≤scaled distance≤9.0 for the area between the area near tunnel blasting source and the area remote blasting source; scaled distance > 9.0 for the area remote blasting source without the measured data.(2)BP wavelet neural network can be used to predict the velocity near blasting source in the separated tunnel.Similarly, it can also be used to predict the velocity of new tunnel next to existing tunnel.The conclusions offer references for tunnel blasting construction under complex conditions.
- mechanics of explosion,
- seismic wave attenuation law,
- BP wavelet neural network,
- area near blasting source,
- prediction

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References(10)

References

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