摘要
以预测地下工程岩爆发生为研究目的,在综合影响岩爆的关键因素的基础上,选取地下工程围岩最大切向应力、岩石单轴抗压、抗拉强度、弹性能量指数、围岩切向应力与围岩抗压强度比值、围岩抗压强度与其抗拉强度的比值作为岩爆预测的评判指标,建立了一种基于改进支持向量机算法(v-SVR)的岩爆预测方法,并利用国内外45个岩石地下工程实例进行学习,对另外的16个实例进行了预测,取得了较好的效果,其预测精度明显优于灰色理论和常规SVR算法,与GA-BP神经网络算法相近.
In order to predict the rockburst occurrence of underground engineering, according to the collected data from actual underground rock project, selecting the wall rock＇ s maximal tangential stress, rock＇ s single axle tensile strength, rock＇ s single axle pressive strength, elasticity energy index, the ratio of rock＇ s single axle pressive strength and rock＇ s single axle tensile strength, and the ratio of wall rock＇ s maximal tangential stress and rock＇ s single axle pressive strength as the judging indexes of rock burst, a method for rockburst predicting model based on z, - SVR （support vector regression） was put forward. Applied the predicting model to predict rockburst of 16 underground rock engineering after learning with other 45 samples; the result is satisfactory. It is more accurate than a gray theory and classical SVR, and is resemble with GA-BP neural network algorithm.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2008年第3期277-281,共5页
Journal of China Coal Society
基金
国家自然科学基金重点资助项目(50334060)
关键词
v-SVR
岩爆
预测
地下工程
模型参数
v-SVR
rockburst
prediction
underground engineering
parameter for model
作者简介
祝云华（1975-），男，湖南邵阳人，博士研究牛．Tel：023-65120736，E-mail：zhuyh75@sina．com
