The law of influenced material of liner is researched by numerical simulation.Multiple explosively formed projectiles (MEFP) forming process is numerically simulated with different liner material,such as copper, aluminum, iron and so on.The law that the formation parameters of MEFP such as velocity, length-diameter ratio and radial dispersion angle,influenced by the density and ductility of liner material is educed.It reaches the conclusion that the velocity and radial dispersion angle of projectiles decreases 58% and 56% with the increasing density of the liner material; the length-diameter ratio of central projectile increases276%with the increasing ductility of the liner material, so in order to acquire good formation of MEFP parameters, the appropriate density and higher ductility should be chosen.

Considering lifting scheme and traditional wavelet packet transform principle, The optimal lifting wavelet packet threshold denoising algorithm was introduced. Experimental blasting vibration signal was decomposed by optimal lifting wavelet packet, and noise components in blasting vibration measured signals were filtered successfully. Research shows that, lifting wavelet package transform can effectively remove noise components, and it laid an important foundation for lifting algorithm will be introduced into the analysis field of blasting vibration effects and other mechanical vibration signal.

Accurate extraction of time-frequency features for blasting vibration signals has great significance for blasting seismic exploration, so time-frequency analysis method for blasting seismic signals was researched based on frequency slice wavelet transformation technology, and separation and extraction of time-frequency features were were successfully achieved. Frequency slice wavelet transformation can be introduced into blasting vibration effect analysis fields, it can provide a new research idea for refinement analysis of time-frequency characteristics, and it also has great significance for improving the effect of blasting seismic exploration in China.

On the demands of real-time and effective transmission of a huge number of data in the construction of digital blasting vibration measurement information management system, lifting wavelet algorithm was introduced for blasting vibration signal compression. Interpolation wavelet, lifting db and traditional db wavelets were used for decomposition-threshold processing-reconstruction. Compression algorithm for the short-term and non-stationary blasting vibration signal was proposed, by analyzing the compression quality. Research results lay a favorable data processing basis for the construction of digital blasting vibration measurement platform and large network blasting vibration monitoring system.

Considering to establish a national ammunition warehouse data processing of a large number of real-time monitoring information and real-time transmission to the requirement of server hardware resources, it was proposed to build a national ammunition warehouse distributed test system based on grid technology. Experiments show that the system has a scalable computing capacity, high computational efficiency, low cost, and good application prospect.