基于样条插值的爆破振动时域波形预测方法A predicting method for time domain waveform of blasting vibration based on spline interpolation
楼矗云;刘军;蓝鹏;
LOU Chu-yun;LIU Jun;LAN Peng;Institute of Engineering Safety and Disaster Prevention,Hohai University;Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering,Hohai University;
摘要(Abstract):
针对现有的爆破振动预测方法存在工程现场适用性差,不易于应用,无法准确预测完整的爆破振动信号在爆破时间段内的振动历程等问题,提出了一种基于样条插值的爆破振动预测方法。通过爆破中质点峰值速度、炸药量与爆心距的关系式,建立监测波形与预测波形的关系,对实测数据波形时域部分进行三次样条插值得到插值函数和预测目标点波形。通过实验和工程实践对该方法进行验证,并与传统的爆破振动预测方法进行质点峰值速度比对,结果表明:该爆破振动预测方法能够完整且较好地预测振动信号在爆破时间段内的振动历程,预测效果优于传统的爆破振动预测方法。
Many methods of the blasting vibration prediction had weakness like lack of feasibility for different kinds of ground,not easy in practical application,and could not get a whole accurate waveform of blasting vibration during the blasting time.This paper put forward a blasting vibration prediction method based on spline interpolation.The relationship between waveform monitored and predicted was built through the relation of peak particle velocity,explosive and blasting distance.The interpolation fuction and predicted target point waveform were got in time domain after spline interpolation three times.The proposed method was verified by an experiment and project practice and compared with the peak particle velocity in other traditional methods.It demonstrated that this method could better achieve the whole accurate waveform of blasting vibration.
关键词(KeyWords):
爆破振动;波形预测;样条插值;质点峰值速度
blasting vibration;prediction waveform;spline interpolation;peak particle velocity
基金项目(Foundation): 国家自然科学基金资助项目(51174076)
作者(Authors):
楼矗云;刘军;蓝鹏;
LOU Chu-yun;LIU Jun;LAN Peng;Institute of Engineering Safety and Disaster Prevention,Hohai University;Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering,Hohai University;
参考文献(References):
- [1]ARMAGHANI D J,HAJIHASSANI M,SOHAEI H,et al.Neuro-fuzzy technique to predict air-overpressure induced by blasting[J].Arabian Journal of Geosciences,2015,8(12):10 937-10 950.
- [2]HASANIPANAH M,MONJEZI M,SHAHNAZAR A,et al.Feasibility of indirect determination of blast induced ground vibration based on support vector machine[J].Measurement,2015,75(19):289-297.
- [3]CHEN G,HUANG S L.Analysis of ground vibrations caused by open pit production blasts-a case study[J].Fragblast,2001,5(1-2):91-107.
- [4]刘军,崔清荷.爆破振动效应预测方法新进展[J].河海大学学报(自然科学版),2015,43(5):465-471.LIU J,CUI Q H.Advances in methods of predicting blasting-induced vibrations[J].Journal of Hohai University(Natural Sciences),2015,43(5):465-471.
- [5]KHANDELWAL M,SINGH T N.Prediction of blast induced ground vibrations and frequency in opencast mine:a neural network approach[J].Journal of Sound and Vibration,2006,289(4):711-725.
- [6]严鹏,邹玉君,卢文波,等.基于爆破振动监测的岩石边坡开挖损伤区预测[J].岩石力学与工程学报,2016,35(3):538-548.YAN P,ZOU Y J,LU W B,et al.Predicting the damage zone of rock slopes under blasting excavation based on vibration monitoring[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(3):538-548.
- [7]吕涛,石永强,黄诚,等.非线性回归法求解爆破振动速度衰减公式参数[J].岩土力学,2007,28(9):1 871-1 878.LYU T,SHI Y Q,HUANG C,et al.Study on attenuation parameters of blasting vibration by nonlinear regression analysis[J].Rock and Soil Mechanics.2007,28(9):1 871-1 878.
- [8]刘军,吴敏,云斌,等.环境激励下结构振动效应预测方法研究[J].固体力学学报,2010,31(S1):143-151.LIU J,WU M,YUN B,et al.Research on vibration prediction method for structural vibration by ambient vibration[J].Chinese Journal of Solid Mechanics,2010,31(S1):143-151.
- [9]LIU J,ZHANG Y,YUN B.A new method for predicting nonlinear structural vibrations induced by ground impact loading[J].Journal of Sound and Vibration,2012,331(9):2 129-2 140.
- [10]孙平玉,刘军.结构倒塌触地振动效应非线性预测方法研究[J].地下空间与工程学报,2013,9(5):1 155-1 160.SUN P Y,LIU J.Research on nonlinear prediction method for touchdown vibration effect induced by structural collapse[J].Chinese Journal of Underground Space and Engineering,2013,9(5):1 155-1 160.
- [11]HAJIHASSANI M,ARMAGHANI D J,MONJEZI M,et al.Blast-induced air and ground vibration prediction:aparticle swarm optimization-based artificial neural network approach[J].Environmental Earth Sciences,2015,74(4):2 799-2 817.
- [12]AMIRI M,AMNIEH H B,HASANIPANAH M,et al.A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure[J].Engineering with Computers,2016,32(4):631-644.
- [13]MCKINLEY S,LEVINE M.Cubic spline interpolation[J].College of the Redwoods,1998,45(1):1 049-1 060.
- 楼矗云
- 刘军
- 蓝鹏
LOU Chu-yun- LIU Jun
- LAN Peng
- Institute of Engineering Safety and Disaster Prevention
- Hohai University
- Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering
- Hohai University
- 楼矗云
- 刘军
- 蓝鹏
LOU Chu-yun- LIU Jun
- LAN Peng
- Institute of Engineering Safety and Disaster Prevention
- Hohai University
- Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering
- Hohai University