Unascertained classify optimization method to evaluate destructive effect of masonry structure under blasting vibration of open-pit mine
An unascertained classify optimization method ( UAO) to predict the destructive effect of masonry structure under blasting vibration of open-pit mine was established on the basis of the unascertained measurement theory. Eight major factors are taken into account from the aspects of blasting vibration and structure dynamic characteristics such as peak particle velocity ( PPV) , dominant frequency, dominant frequency duration, mortar joints intensity, collar beam structure, height of housing, roof forms and the rate of brick walls. The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively. After training and testing 108 sets of measured data in an open-pit mine, the unascertained measurement functions of UAO model are solved, and the error ratio of backdistinguish is 0.093. Another 12 groups of measured data are tested as forecast samples, and the predicted results.are consistent with the measured ones. The prediction accuracy of UAO model is acceptable, so it is a new approach to predict destructive effect of environment under blasting vibration, which can be applied to practical engineering.
mining engineering unascertained classify optimization model blasting vibration masonry structure
Longjun Dong Xibing Li
School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
国际会议
The 19th International Biohydrometallurgy Symposium(第19届国际生物湿法冶金大会 IBS2011)
长沙
英文
1047-1052
2011-09-18（万方平台首次上网日期，不代表论文的发表时间）