Evaluation model of rock burst risk in mining based on blind data theory

被引：0

作者：

Gao, Feng ^{[1
,2
]}

Zhang, Zhi-Zhen ^{[1
,2
]}

Gao, Ya-Nan ^{[1
,2
]}

Zhang, Tao ^{[2
]}

机构：

[1] State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221008, China

[2] School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

来源：

Meitan Xuebao/Journal of the China Coal Society | 2010年 / 35卷 / SUPPL. 1期

关键词：

Underground structures - Numerical methods - Risk assessment - Rocks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Due to the complexity of the geological conditions and deficiency of experimental data, uncertainty such as randomicity, vagueness, gray, unsureness widely exists in the influential factors of comprehensive evaluation of rock burst risks. Aimed at this point, it was suggested to apply the mathematic theory of blind information to the comprehensive index method for the assessment of rock burst risks, used blind data to express the uncertainty of the risk index, and thus put forward blind data form of the comprehensive index. The corresponding confidence levels of comprehensive index in different numerical value intervals were computed by the use of blind data algorithms, which consequently provides more overall evidence to judge the rockburst risk levels and overcomes the problem of absolutization in traditional methods. The case analysis indicates that blind data can consider influential factors better when evaluating rockburst risks and the coming result is more reliable.

引用

页码：28 / 32