Multi-parameter dominant grouping method of rock mass discontinuity
based on principal component analysis

DONG Fu-rui; WANG Shu-hong; HOU Qin-kuan

doi:10.16285/j.rsm.2021.1938

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Multi-parameter dominant grouping method of rock mass discontinuity based on principal component analysis

更新时间：2026-06-25

- Multi-parameter dominant grouping method of rock mass discontinuity based on principal component analysis
- Vol. 43, Issue 9, Pages: 2457-2470(2022)
- 作者机构：
  
  东北大学资源与土木工程学院,辽宁,沈阳,110819
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2021.1938
  CLC： TU45
- Online First：12 September 2022，
  
  Published：2022
- 稿件说明：
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DONG Fu-rui, WANG Shu-hong, HOU Qin-kuan. Multi-parameter dominant grouping method of rock mass discontinuity based on principal component analysis[J]. 2022, 43(9): 2457-2470.
DOI：

DONG Fu-rui, WANG Shu-hong, HOU Qin-kuan. Multi-parameter dominant grouping method of rock mass discontinuity based on principal component analysis[J]. 2022, 43(9): 2457-2470. DOI： 10.16285/j.rsm.2021.1938.

摘要

对赋存于岩体内的结构面进行统计分析、分组聚类，是进行岩体工程稳定性分析的基础。考虑到结构面的力学和水力学性质受产状、迹长、张开度、粗糙度和充填状态等诸多因素共同影响，提出一种基于主成分分析的多参数岩体结构面优势分组方法。首先，利用主成分分析法选取多参数岩体结构面优势分组的判据，并计算其参与相似性度量的权重值。进而，基于退火遗传算法搜寻模糊 C 均值聚类算法的全局最优初始聚类中心。最后，以待分组结构面与聚类中心的距离加权和最小的方式建立目标函数，实现多参数岩体结构面优势分组。对计算机模拟的 200 个结构面进行多参数优势分组并与其他方法对比，计算结果表明，该方法具有较高的分组精度。将该方法用于重庆市三环高速花阳隧道实测结构面多参数优势分组中，分组结果合理、可靠，进一步验证了该方法具有较好的工程应用价值。

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