长江科学院院报 ›› 2012, Vol. 29 ›› Issue (9): 49-52.DOI: 10.3969/j.issn.1001-5485.2012.09.012

• 岩土工程 • 上一篇    下一篇

岩体结构面产状改进的K均值聚类分析

李继明   

  1. 义乌工商职业技术学院, 浙江 义乌   322000
  • 收稿日期:2012-03-12 修回日期:2012-04-18 出版日期:2012-09-01 发布日期:2012-09-13
  • 作者简介:李继明(1967-),男,甘肃天水人,副教授,高级工程师,主要从事岩土工程、建筑工程管理方面的研究

Improved K Means Clustering Analysis on Discontinuity Orientations of Rock Mass

LI Ji-ming   

  1. Yiwu Industrial & Commercial College, Yiwu  322000, China
  • Received:2012-03-12 Revised:2012-04-18 Published:2012-09-01 Online:2012-09-13

摘要: 岩体结构面产状的优势分组是进行岩体工程稳定性评价的基础,极点等密度图、走向玫瑰花图等传统方法比较粗糙,只能给出优势组数,无法准确地给出每一组结构面的优势产状。为弥补传统方法的缺点,采用改进的K均值聚类算法,以结构面的单位法向量表示其产状,以结构面之间所夹锐角对结构面产状进行分类判定。将该方法应用于某采石场岩质边坡结构面优势产状的分析中,结果表明:采用改进的K均值聚类分析方法结果可靠,分类合理,可以准确确定结构面的优势产状。

关键词:  , 岩体, 结构面产状, 优势分组, K均值聚类

Abstract: The analysis of dominant orientations of discontinuities is a fundamental work for a further evaluation of the stability of rock mass. By traditional plot methods such as isopycnic diagram and rose diagram, we can only obtain a simple classification of the orientations, but the exact dominant orientations of every set cannot be acquired. An improved means clustering algorithm is proposed. The orientations of discontinuities are represented by their unit normal vectors, and the included acute angle between two discontinuities is taken as their similarity measure. Data investigated from a rock slope of a quarry is used as a case study. The results ofmeans clustering algorithm are reliable and reasonable. This method can give the accurate dominant orientations of every set.

Key words: rock mass, discontinuity, dominant orientation, K , means clustering

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