摘要
从国内外各种围岩分类方法中可以看出,结构面与隧道围岩分级密切相关,不同的围岩分级具有不同的结构面特性。通过分析结构面与隧道围岩分级之间的关系,提出隧道围岩分级知识挖掘方法。根据数据挖掘原理,在结构面众多属性中首先剔除明显不合适的力学和岩性属性,然后按信息增益大小进一步选择挖掘所需的结构面属性,同时提出结构面权度概念表示结构面相互切割程度。信息增益分析结果表明,一般结构面和断层的各个属性在围岩分级中所起作用差别较大,因而采用的属性也不同。以表格形式表达概念描述和概念对比描述结果,反映出结构面各个属性对围岩分级的贡献大小及作用的程度;根据后者提出了围岩分级预测方法,应用结果是可行的,而且一般结构面和断层分别预测,效果会更好。
It is seen from various classification of surrounding rock at home and abroad that there is close relationship between discontinuities and classification of surrounding rock and different classification of surrounding rock possesses different characteristics of discontinuities. This paper puts forward the way of mining knowledge for surrounding rock classification through qualitatively analyzing the relationship between discontinuities and surrounding rock classification. According to the data mining principles,apparently unsuitable attributes of mechanics and lithology are firstly removed, and then,the needed attributes are selected and mined with information increasing. The concept of discontinuity weights and measures is presented to express incisions. The information increasing analysis indicates the roles of attributes of common discontinuities and faults differ to a great extent in surrounding rock classification and so different attributes are selected. The concept description and concept comparison description are expressed in forms to figure out the contribution magnitude and function degree of each attribute in surrounding rock classification. The forecasting method for surrounding rock classification is provided, its application is proved feasible. Separate classification forecasting of common disconstinuities and faults will bring about better results.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2007年第4期125-130,共6页
Journal of the China Railway Society
基金
铁道部科技开发项目(TDB2004G021-B-1)
北京交通大学基金项目(2003SM020)
关键词
围岩分级
知识挖掘
信息增益
结构面
classification of surrounding rock
knowledge mining
information increasing
discontinuity
