爆破振动信号波形预测模型的优化研究
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摘要
依托临沂引水隧洞竖井爆破工程,通过Matlab语言编程对实测数据进行小波包分析,并利用修正萨道夫斯基公式(简称修正公式)对各个频带的信号进行了非线性预测分析,最终整合得到爆区内任意点的爆破振动信号波形的预测模型。分析发现,修正萨道夫斯基公式的预测精度明显高于传统的经验公式,且基于修正萨道夫斯基公式构建的多频带小波包系数波形预测模型的预测精度较高(幅值预测误差不足2%,主频预测误差6.5%),较单一衰减因子分析模型稳定。
Based on the vertical shaft blasting project of the diversion tunnel in Linyi City,the wavelet packet analysis programmmed with Matlab was carried out to analyze the original measured data and the signals in various bands were predicted respectively with modified Sadaovsk Formula solved by nonlinear regression analysis,and then the blasting vibration waveform prediction model of any point in the blast area was obtained eventually.The analyses show that the prediction precision of modified Sadaovsk Formula is evidently higher than that of traditional empirical formula.And the prediction precision of multi-band wavelet coefficient waveform prediction model based on the modified Sadaovsk Formula is relatively higher(The prediction error of amplitude is less than 2% and that of dominant frequency is only 6.5%),which is more stable and reliable than the single attenuation factor analysis method.
Based on the vertical shaft blasting project of the diversion tunnel in Linyi City,the wavelet packet analysis programmmed with Matlab was carried out to analyze the original measured data and the signals in various bands were predicted respectively with modified Sadaovsk Formula solved by nonlinear regression analysis,and then the blasting vibration waveform prediction model of any point in the blast area was obtained eventually.The analyses show that the prediction precision of modified Sadaovsk Formula is evidently higher than that of traditional empirical formula.And the prediction precision of multi-band wavelet coefficient waveform prediction model based on the modified Sadaovsk Formula is relatively higher(The prediction error of amplitude is less than 2% and that of dominant frequency is only 6.5%),which is more stable and reliable than the single attenuation factor analysis method.
引文
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[9]毕卫国,石崇.爆破振动速度衰减公式的优化选择[J].岩土力学,2004,25(S1):99-102.
[10]杜汉清.爆破振动衰减规律的现场试验研究[J].爆破,2007,24(2):17-20.
[11]林丽群,林从谋,蔡丽光,等.隧道爆破振动的BP神经网络预测及应用研究[J].爆破,2009,26(4):4-7.
[12]罗正,陈寿如.广义的爆破震动速度计算公式及其应用[J].采矿技术,2007,7(3):147-148.
[13]董陇军,李夕兵,赵国彦,等.爆炸冲击波信号处理方法比较[J].岩石力学与工程学报,2009,28(4):750-756.
[2]吴从师,吴其苏.爆破地震模拟初探[J].爆炸与冲击,1990,10(2):170-175.
[3]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(14):472-475.
[4]刘军,吴从师,高全臣.建筑结构对爆破震动的响应预测[J].爆炸与冲击,2002,20(4):333-337.
[5]DOWDING C H.Monitoring and control of blasting effects.Mining Engineering Handbook[M].Upper Saddle River,New Jersey:Prentice Hall,1985:746-761.
[6]陈士海,魏海霞,杜荣强.爆破震动信号的多分辨小波分析[J].岩土力学,2009,30(S1):135-143.
[7]毕明芽,李名山,刘朝红,等.爆破地震预测误差的因素分析[J].爆破,2009,26(2):96-98.
[8]高成.Matlab小波分析与应用[M].北京:国防工业出版社,2007.
[9]毕卫国,石崇.爆破振动速度衰减公式的优化选择[J].岩土力学,2004,25(S1):99-102.
[10]杜汉清.爆破振动衰减规律的现场试验研究[J].爆破,2007,24(2):17-20.
[11]林丽群,林从谋,蔡丽光,等.隧道爆破振动的BP神经网络预测及应用研究[J].爆破,2009,26(4):4-7.
[12]罗正,陈寿如.广义的爆破震动速度计算公式及其应用[J].采矿技术,2007,7(3):147-148.
[13]董陇军,李夕兵,赵国彦,等.爆炸冲击波信号处理方法比较[J].岩石力学与工程学报,2009,28(4):750-756.
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