长江科学院院报2011，Vol.28Issue(3)：50-53,4.
岩体结构面产状的自组织聚类分析
Self-organized Cluster Analysis on Texture Plane Occurrence of Rock Mass
邓继辉 1陈柏林 2吴小宁 1谢贵华3
作者信息
- 1. 中煤国际工程集团重庆设计研究院,重庆,400016
- 2. 重庆地质矿产研究院,重庆,400016
- 3. 机械工业第三设计研究院,重庆,400016
- 折叠
摘要
Abstract
In order to get objective and accurate dominant occurrence of rock mass texture plane, a Serf-organized Cluster algorithm is used. The dot belongs to its closed clustering center according to their minimal spherical distance. The unit vector of gravity center is used as the new clustering center. The maximum component standard deviation controls the division, and the minimum spherical distance of clustering center controls the combination. The algorithm is realized by the computer programming. The method is applied to analyze the joint occurrence of underground water-seal cavern in Zhanjiang. By means of three groups of parameters with increasing convergence accuracy, the objective and accurate dominant occurrence, clustering group number, and the dot number in each group are obtained. The result shows that the group cohesion increases and the spherical distances of clustering center decreases. This method is facilitated to discriminate the spatial development of texture plane, makes up for the deficiency of the traditional plots method that cannot give the accurate partition and the shortcoming of the previous method that keeps constant clustering group as well as the complex principle and process.关键词
自组织聚类/岩体/优势结构面/产状/地下洞库Key words
Self-organized Cluster/ rock mass/ dominant texture plane/ occurrence/ underground cavern分类
天文与地球科学引用本文复制引用
邓继辉,陈柏林,吴小宁,谢贵华..岩体结构面产状的自组织聚类分析[J].长江科学院院报,2011,28(3):50-53,4.
