Underwater Blasting Technology And Vibration Control In Meizou Bay Power Plant

As the vigorously development of marine economy,underwater blasting excavation is used more and more widely in large number of offshore and seashore project constructions.As a hot-spot topic in blasting engineering,underwater blasting construction has complex construction,high difficulty technical.For example,in the underwater blasting project of Meizhou Bay Power Plant,which has wide scope of construction,complex hydrogeologic conditions,and dense residence around the construction.The safety impact of nearby building should be solved when the underwater blasting exaction in processing which caused vibration.In this paper,the following jobs are researched which used this project as the background:The features of underwater drilling blasting are analyzed,and the construction equipment,the selection of explosives,the charging design and the calculation of unit consumption are also introduced under different engineering conditions.Combined with the actual construction of Meizhou Bay Power Plant Project,the underwater drilling blasting plan is designed Meanwhile,in order to control impact of blasting vibration,combined with standard and field test feedback,a specify blasting vibration control standard is developed.The vibration velocity of the blasting vibration is monitored,and the response of the monitoring data is used to adjust the single shot and the hole parameters of the blasting design paraments.The impact of blasting vibration was successfully controlled.The application of machine learning method in blasting vibration prediction is studied in the case of using the Sodev's Formula for the fact that the correlation coefficient of field monitoring data is very small.Through data measured data in vibration monitoring,7 factors including the position of the explosive source,the location of the measuring point,the maximum single pant,the number of detonator,the total dose,the burst center and the water depth,an prediction model establish BP neural network and support vector machine model based on particle swarm optimization of Meizhou Bay Power Plant underwater blasting vibration are established respectively.The results show that both methods can predict blasting vibration.While,for the condition where the number of samples is small and the data distribution range is more concentrated,support vector machine has better prediction effect than BP neural network.To further research the impact of water depth on the propagation law of blasting seismic waves under the underwater blasting operation,an numerical model by using ANSYS/LS-DYNA software under different water depth is established,which based on the Meizhou Bay Power Plant underwater blasting project as evidence.The numerical results show that,the peak velocity of the particle is almost the same under water depth no more than 15m and charging diameter 90mm.The effect of water depth on the propagation law of blasting seismic wave being not significant;Water for the hydrostatic pressure produced by the tensile damage zone had significant effect on the rock damage,with the increase of water depth,rock tensile stress decreases,tensile damage zone decreases.