Study On Optimize Of Blasting Parameter And Effect Of Rock Anchor Beam

The rock anchor beam is the most difficult and demanded in excavating underground factory, its quality will affect its safety of performing later, as a result, a better quality and smaller crushedregion is demanded. During the course of engineer design, those who master at his field make decision depend on his experience, project contrast and test in similar condition, then to decide its parameter. Which waste much time and expenditure. Moreover, the result is not as expect as what we have.Neural network is applied in design of blast parameter, which is not needed the trim and sum up of engineer and knowledge of expertise. What are needed is some succeed examples and stylebooks to train the system. To some knowledge, which is expressed by implication, At the same time to acquire knowledge, much knowledge in the same question were showed in the same network. Those be used in many fields and easy to perform. As a kind of Artificial Intelligence, neural network has been widely used in many scientific fields. In blasting Engineering, it is useful to the development of blast technology, by virtue of its neural networks' non-linearity and identification ability.Rock anchor beam is selected as the studied object, the parameter of blasting and its parameter selection are studied in the paper. At first, the author has analyzed the destroy style and mechanism of blasting, studied various factors which influence on the effect and supporting design of rock anchor beam of underground hydroelectric power station. 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 model of modified BP neural networks has been used to built model in order to identify selection and optimize of blasting in rock anchor beam. Triumphant parameter design of blasting were selected as a example, in order to perform network of parameter design.At last, those designs of parameter by BP network tested by blasting trials and sound wave. As a result, the smallest range of destory is the best project, which is accorded with design of BP network. It is show that applying the way of BP network is not reasonable but feasible.