东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (2): 295-298.DOI: 10.12068/j.issn.1005-3026.2014.02.032

• 资源与土木工程 • 上一篇    下一篇

基于结构面特征的优势组划分方法

郭牡丹，朱浮声，王述红，荣晓洋   

  1. (东北大学 资源与土木工程学院， 辽宁 沈阳110819)
  • 收稿日期:2013-04-29 修回日期:2013-04-29 出版日期:2014-02-15 发布日期:2013-11-22
  • 通讯作者: 郭牡丹
  • 作者简介:郭牡丹(1986-)，女，辽宁锦州人，东北大学博士研究生；朱浮声(1948-)，男，黑龙江齐齐哈尔人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51074042，51179031)；国家自然科学基金国际合作与交流项目(51250110531)；国家重点实验室开放基金资助项目(SKLGP2012K009).

Partitioning Method of Dominant Groups Based on Characteristics of Structural Plane

GUO Mudan， ZHU Fusheng， WANG Shuhong， RONG Xiaoyang   

  1. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2013-04-29 Revised:2013-04-29 Online:2014-02-15 Published:2013-11-22
  • Contact: GUO Mudan
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摘要： 以往的优势组划分方法都是以结构面的产状信息为基础，未考虑结构面力学特征及分组指标权重对优势组划分结果的影响，这样可能会导致分组结果不准确.因此，本文引入结构面特征分级法(CSPC)所定量评价的结构面的力学特征，提出基于结构面特征的优势组划分方法，采用可变模糊聚类迭代模型进行结构面的优势组划分.结果显示，结构面力学特征对结构面优势组划分的影响不能忽略.利用基于结构面特征的优势组划分方法可以预测出每组结构面的抗剪强度参数，为后续的块体稳定性分析奠定基础.

关键词: 结构面特征, 可变模糊模型, 优势组划分, 抗剪强度参数, 层次分析法

Abstract: The past partitioning methods of dominant groups are all based on the orientation information of structural planes， and they do not consider the effect of mechanical characteristics of structural planes and partitioning indexes on dominant groups partitioning， which may lead to the wrong partitioning results. In this respect， the mechanical characteristics quantified by CSPC(a classification method of structural plane character) were introduced for partitioning the dominant groups based on the characteristics of structural planes， and the partition of dominant groups was achieved by an iterative variable fuzzy model. It was concluded that the influence of mechanical characteristics on dominant groups partitioning can not be ignored. Shear strength parameters can be forecast by the partitioning method of dominant groups based on the characteristics of structural planes， which may lay the basis for the subsequent block stability analysis.

Key words: characteristics of structural plane, variable fuzzy model, dominant group partitioning, shear strength parameter, analytic hierarchy process

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