基于编网算法的岩体结构面优势产状聚类分析

doi:10.13722/j.cnki.jrme.2019.0865

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Abstract The analysis of dominant orientations of discontinuities of rock mass is a fundamental work for the stability evaluation in rock engineering. The traditional clustering methods have the deviations in the clustering process and results，because these methods cannot effectively filter noisy data. To solve this problem，a clustering analysis method based on netting algorithm is proposed for determining the dominant orientations of discontinuities. By coordinate transformation of orientations of discontinuities，the fuzzy similarity matrix R is established by calculating the similarity between each orientation data. Then，the λ-cutting matrix can be constructed by a given confidence level λ. The clustering result was achieved by grouping samples that are connected together by the latitude and longitude lines of same node. The result indicated that the dominant orientations of netting algorithm were consistent with other methods. Based on this proposed method，there is no need to set the initial groups or the initial clustering centers in advance. It reduces the subjectivity of human intervention and makes the clustering process more reliable. The noise data can be effectively filtered，which leads to more accurate clustering results. The analysis of a case study shows that the netting algorithm is effective and reasonable for clustering orientation data of discontinuities. The study can provide the basis for rapidly and accurately obtaining dominant orientations of discontinuities in rock engineering. It is of great significance in rock mass stability evaluation.

Key words： rock mechanics discontinuities dominant orientation clustering analysis netting algorithm

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	Articles by authors
	HOU Qinkuan
	YONG Rui
	DU Shigui
	LIU Jie
	CAO Zemin
	XU Minna

Cite this article:

HOU Qinkuan,YONG Rui,DU Shigui, et al. A method for clustering orientation data of discontinuities of rock mass based on netting algorithm[J]. , 2020, 39(S1): 2871-2881.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2019.0865 OR https://rockmech.whrsm.ac.cn/EN/Y2020/V39/IS1/2871

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