ZENG Jie, ZHANG Yong-xing, JIN Xiao-guang. Prediction of Rock Burst using the Method of Optimal Relative Membership Degree Based on the Maximum Entropy Principle[J]. Journal of Civil and Environmental Engineering, 2011, 33(1): 93-97.
DOI:
ZENG Jie, ZHANG Yong-xing, JIN Xiao-guang. Prediction of Rock Burst using the Method of Optimal Relative Membership Degree Based on the Maximum Entropy Principle[J]. Journal of Civil and Environmental Engineering, 2011, 33(1): 93-97. DOI: 10.11835/j.issn.1674-4764.2011.01.016.
Prediction of Rock Burst using the Method of Optimal Relative Membership Degree Based on the Maximum Entropy Principle
In the analysis of rock burst criterion prediction at home and abroad
the prediction standards of rock burst are selected including the conditions of mechanics、integrity、energy and brittle. The concept of relative membership degree on the rock burst prediction was introduced. The weight of standards and fuzzy matrix of relative membership degree are calculated. Uncertainty in rock burst prediction is described and compared according to the information entropy. Generalized weighted distance is also defined to characterize the differences in rock burst based on the maximum entropy principle
the establishment of a rock burst prediction fuzzy optimization model. The results from the application to practical example and comparisons with other methods are fairly good. Finally
the prediction model is applied in Putaoshan tunnel and the predictions are consistent with the actual rock burst.