Evaluation of Mine Rockburst Tendency Based on the Distance Discrimination Analysis
Received date: 2020-10-28
Revised date: 2021-08-16
Online published: 2021-12-17
Rockburst as a common ground pressure disaster in deep mining，always affect the safety of underground staff，its unique suddenness makes the evaluation of rock explosion tendency become a subject that countless scholars continue to explore.Mathematical methods are widely used in this field.Distance judgment analysis is applied to academic and engineering by many scholars with its unique judgment algorithm.In order to scientifically and effectively apply the distance discriminant analysis method to evaluate the deep rockburst tendency grade of a certain mine，brought together a large number of domestic and international mine rock burst data，and combined with the mine deep situation，six rock burst tendency index were determined.9 sites were selected to be tested at the mine， and the aesthetic experiment was carried out to obtain the rockbrust index of the location of the belt.The Mahalanobis distance theory was used to establish a judgment criterion to determine rock burst tendency of the test data，and the accuracy of the judgment criterion was tested by the back-substitution misjudgment rate and the cross misjudgment rate.The evaluation results are consistent with the actual situation of the mine.The results show thatthe tendency of rockbrust at the site of X2，X3，X4，X5，X7，X8 and X9 to be measured at a metal mine is in the slight level of rockbrust grade，the tendency of rockbrust at the site of X6 is in the medium level of rockbrust grade，the tendency of rockbrust at the site of X1 is in the high level of rockbrust grade.The actual situation of the mine shows that high rockbrust phenomenon occur at the site of X1.Research shows the method has good applicability and effectiveness in the evaluation of mine rockburst tendency.
Guoyan ZHAO , Chengkai DANG , Huanxin LIU , Yang LIU , Quri XIAO , Yang LI , Liqiang CHEN , Wenjie MAO . Evaluation of Mine Rockburst Tendency Based on the Distance Discrimination Analysis[J]. Gold Science and Technology, 2021 , 29(5) : 690 -697 . DOI: 10.11872/j.issn.1005-2518.2021.05.190
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