贾虎,郑伟花,罗强
JIA Hu,ZHENG Wei-hua,LUO Qiang

• 1:南阳师范学院土木建筑工程学院

摘要(Abstract)：

传统小波变换等时频分析方法在提取水下爆炸信号时具有各自的局限性,为了获得金属导爆索水下爆炸信号的特征,采用HHT方法对信号特征进行提取。结果表明:EMD具有自适应性,能够将冲击波信号进行分解,适合金属导爆索水下爆炸冲击波信号的分析;采用HHT方法能够有效提取金属导爆索水下爆炸信号的时频特征,冲击波信号的优势频率主要集中在0~40kHz,特别是20kHz以下的低频能量最大,高于80kHz以上频段能量分量很小;冲击波压力信号能量主要集中在40kHz以下,尤以5kHz以下频带能量最高。能量主要集中在前80μs内的3个子区间内,各子区间能量峰值对应的时刻分别为3、5和16μs。
Traditional wavelet transform time-frequency analysis method has some limitations when the signal of underwater explosion is extracted.In order to obtain the time frequency characteristics of underwater explosion signal of metal detonating cord,the time frequency signal data were extracted by HHT.The result showed that the signal of shock wave could be decomposed by EMD with its self-adaptability,and it was suitable to analysis of underwater explosion signal of metal detonating cord.The HHT method could effectively extract time-frequency characteristics of the signal of metal detonating cord underwater,the main frequency of shock wave signal was distributed between 0 to 40 kHz,the largest energy was concentrated in low frequency signal that lower than 20 kHz,and the frequency higher than 80 kHz accounted low proportion.The energy mainly concentrated before 80μs within 3 sections,and the time corresponding to the peak energy of each section were 3μs,5μs and 16μs respectively.

关键词(KeyWords)： 爆炸力学;水下爆炸;HHT;金属导爆索
Explosion mechanics;Underwater explosion;HHT;Metal detonating cord

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(11202109;11304168);; 河南省高等学校青年骨干教师资助计划(2013GGJS-157);; 河南省教育厅自然科学研究计划项目(2011B130002);; 南阳师范学院高层次人才资助项目

作者(Author): 贾虎,郑伟花,罗强
JIA Hu,ZHENG Wei-hua,LUO Qiang

参考文献(References)：

• [1]李夕兵,张义平,刘志祥,等.爆破震动信号的小波分析与HHT变换[J].爆炸与冲击,2005,25(6):528-535.LI Xi-bing,ZHANG Yi-ping,LIU Zhi-xiang,et al.Wavelet Analysis and Hilbert-huang Transform of Blasting Vibration Signal[J].Explosion and Shock Waves,2005,25(6):528-535.
• [2]杜志鹏,汪玉,杨洋,等.舰艇水下爆炸冲击信号拟合及应用[J].振动与冲击,2010,9(3):182-184.DU Zhi-peng,WANG Yu,YANG Yang,et al.Curve Fit Method for Naval Under Water Explostion Shock Signal and Its Application[J].Journal of Vibration and Shock,2010,9(3).182-184.
• [3]HUANG NE,ZHENG S,LONG S R,et al.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis[J].Proceedings of the Eoyal Society of Londong(Series A)1998,454:903-995.
• [4]SEMION K.THOMAS P.FLATLEY.et al.On the Hilbert-huang Transform Data Processing System Development[R].National Aeronautics and Space Administration Goddard Space Flight Center,Darrell Smith Orbital Sciences Corporation,2001.
• [5]盛振新.水下连续爆炸声学特性及信号分析研究[D].南京:南京理工大学,2013:8-9.SHENG Zhen-xin.Research on Underwater Sequential Explostions and Acoustic Characteristic[D].Nanjing:Nanjing University of Science and Technology,2013:8-9.
• [6]张义平,李夕兵,赵国彦,等.爆破震动信号的时频分析[J].岩土工程学报,2005,27(12):1472-1477.ZHANG Yi-ping,LI Xi-bing,ZHAO Guo-yan,et al.Time-frequency Analysis of Blasting Vibration Signals[J].Journal of Geotechnical Engineering,2005,27(12):1472-1477.
• [7]廖学燕,沈兆武,马宏吴,等.新型复合炸药KD-1的能量输出特性和力学性能[J].火炸药学报,2008,31(4):14-17.LIAO Xue-yan,SHEN Zhao-wu,MA Hong-hao,et al.Energy Output and Mechanical Characteristics of Composite Explosive KD-1[J].Journal of Explosives and Propellants,2008,31(4),14-17.