爆破振动波叠加数值预测方法
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摘要
根据场地地震波的传播叠加原理,以实测单炮孔爆破振动波形为基础,考虑预测点位置与各炮孔的相对位置关系,并按照实际起爆网路设计的各炮孔起爆时差和实测的地震波传播速度等参数,计算获得预测点的爆破振动波形。不仅可以预测爆破振动速度峰值,而且可以预测完整的振动波形,并可获知爆破振动持续时间及主振频率分布范围。根据现场应用数码电子雷管的深孔爆破实验,该方法计算的预测波形与实测波形相当吻合,计算结果可靠性较好,可以在实际工程中推广使用。
Based on the superposition principle of seismic waves,a new blasting vibration waveform prediction model was proposed other than the traditional prediction methods founded on data statistics.According to the measured vibration waveforms from single blast holes,the developed model was used to calculate the blasting vibration waveforms at certain locations.In the calculation,the parameters were considered as follows: the position of the recording site relative to each blast hole,the delay time between the detonation of each two blasthole according to the actual initiation network and the measured propagation velocity of seismic wave.The calculated results show that the developed method can be used to predict the blasting vibration velocity peaks,whole vibration waveform,vibration duration and main frequency distribution.And the calculated waveforms are coincident with the recorded ones in the deep hole blasting tests using electronic detonators.It indicates that the developed predication method is reliable for engineering application.
Based on the superposition principle of seismic waves,a new blasting vibration waveform prediction model was proposed other than the traditional prediction methods founded on data statistics.According to the measured vibration waveforms from single blast holes,the developed model was used to calculate the blasting vibration waveforms at certain locations.In the calculation,the parameters were considered as follows: the position of the recording site relative to each blast hole,the delay time between the detonation of each two blasthole according to the actual initiation network and the measured propagation velocity of seismic wave.The calculated results show that the developed method can be used to predict the blasting vibration velocity peaks,whole vibration waveform,vibration duration and main frequency distribution.And the calculated waveforms are coincident with the recorded ones in the deep hole blasting tests using electronic detonators.It indicates that the developed predication method is reliable for engineering application.
引文
[1]顾毅成,史雅语,金骥良.工程爆破安全[M].合肥:中国科学技术大学出版社,2009.
[2]徐全军,张庆明,恽寿榕.爆破地震峰值的神经网络预报模型[J].北京理工大学学报,1998,18(4):473-475.XU Quan-jun,ZHANG Qing-ming,YUN Shou-rong.Neural network model for forecasting peak acceleration ofblating vibration[J].Journal of Beigjing Institute of Technology,1998,18(4):473-475.
[3]徐全军,刘强,聂渝军,等.爆破地震峰值预报神经网络研究[J].爆炸与冲击,1999,19(2):134-138.XU Quan-jun,LIU Qiang,NIE Yu-jun,et al.Study of neural network prediction on peak particle amplitude ofblasting ground vibration[J].Explosion and Shock Waves,1999,19(2):134-138.
[4]吕淑然.爆破震动强度预测的神经网络模型研究[J].金属矿山,2009(6):40-42.LShu-ran.Study on the neural network model for forecasting the blasting vibration intensity[J].Metal Mine,2009(6):40-42.
[5]杨佑发,崔波.爆破震动速度峰值的预测[J].振动与冲击,2009,28(10):195-198.YANG You-fa,CUI bo.Blasting vibration peak value prediction[J].Journal of Vibration and Shock,2009,28(10):195-198.
[2]徐全军,张庆明,恽寿榕.爆破地震峰值的神经网络预报模型[J].北京理工大学学报,1998,18(4):473-475.XU Quan-jun,ZHANG Qing-ming,YUN Shou-rong.Neural network model for forecasting peak acceleration ofblating vibration[J].Journal of Beigjing Institute of Technology,1998,18(4):473-475.
[3]徐全军,刘强,聂渝军,等.爆破地震峰值预报神经网络研究[J].爆炸与冲击,1999,19(2):134-138.XU Quan-jun,LIU Qiang,NIE Yu-jun,et al.Study of neural network prediction on peak particle amplitude ofblasting ground vibration[J].Explosion and Shock Waves,1999,19(2):134-138.
[4]吕淑然.爆破震动强度预测的神经网络模型研究[J].金属矿山,2009(6):40-42.LShu-ran.Study on the neural network model for forecasting the blasting vibration intensity[J].Metal Mine,2009(6):40-42.
[5]杨佑发,崔波.爆破震动速度峰值的预测[J].振动与冲击,2009,28(10):195-198.YANG You-fa,CUI bo.Blasting vibration peak value prediction[J].Journal of Vibration and Shock,2009,28(10):195-198.
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