Based on the above study,the matched explosive type was gained as well as the parameters were calculated and chosen for large diameter deep hole blasting in the Anqing copper mine. MRB rock emulsion explosive was recommended for the large diameter deep hole blasting in the mine stope of No1 orebody deep room of Anqing Copper Mine. The designed parameters are as follows: single-layer explosive cartridge weight: middle holes,29～34 kg;
The optimum model for blasting parameters of anchoring rock beam is established and its blasting parameters are optimized by making use of a strong mapped function of the neural network technology with the typical samples of other practical smooth blasting parameters. The explosive types,the extent of joint development of rock mass,the diameter of bore-hole,the depth of bore-hole,the linear charge density,the burden line of least resistance and the spacing of bore-hole are considered as the primary factors.
Through tests of the speed,we found there are several important factors effecting the speed,such as the cord diameter,explosive density,explosive types,additives in the explosive,explosive grain-sizes,and so on.
At first, the author has analyzed the theory, mechanism and shock-absorption in pre-split blasting, studied the rising of crack, expanding and stopping, and did various factors which influence on the crack of rock in pre-split blasting.
The main factors have been determined to be the strength of mineral and rock, the diameter of drill, the type of explosive and the growth degree of crack. Then, the author has researched BP neural networks' work principle, structure and defectiveness. A model of modified BP neural networks has been established in order to identify the crack of rock in the parameter design in pre-split blasting.
The main factors have been determined to be the depth and width of hole, the strength of surrounding rock, the types of detonator, the decoupling coefficient, burden and unit consumptionForm what has been discussed, the author make use of those major factors as standard of affection and studied BP neural networks' work principle, structure and defectiveness.
A method of determining the thermal energy of volcanic eruptions of the explosive type is proposed.
Based on this study, suitable detonation delays and explosive type is determined.
Depending on ballistic and anatomical parameters, the intracranial effect varies from slightly more severe injury than in isolated soft tissue to an "explosive" type of injury with comminuted fractures of the skull and laceration of the brain.
The high mass and the large diameter of the lead missile do not necessitate a high muzzle velocity to crush large amounts of tissue or to produce an explosive type of head injury.
Explosive type strength training resulted in a small insignificant increase in maximal strength but in considerable shortening (p>amp;lt;0.05) in the time of force production.
In several explosive types of sport events the leg extensor muscles are subjected to very high impact loads.
The increasing range of explosive types and methods of initiation available to the blasting design engineer, and the possibilities of obtaining more detailed rock property data, require improvements in the precision of blasting design methods.
These parameters are either controllable or non-controllable like blast geometry, explosive types, rock strength properties, joints patterns, etc.
The target-to-background contrast was calculated for various soil types and moisture contents, explosive types and sizes, burial depths, detector standoffs, and ground height variations.