长江科学院院报 ›› 2023, Vol. 40 ›› Issue (5): 106-110.DOI: 10.11988/ckyyb.20211311

• 岩土工程 • 上一篇    下一篇

天然岩体结构面产状的动态聚类分组分析

艾纯明1,2, 陆云3, 孙萍萍1,2   

  1. 1.辽宁工程技术大学 安全科学与工程学院,辽宁 葫芦岛 125000;
    2.矿山热动力灾害与防治教育部重点实验室,辽宁 葫芦岛 125000;
    3.金诚信矿业管理股份有限公司,北京 100070
  • 收稿日期:2021-12-09 修回日期:2022-02-04 出版日期:2023-05-01 发布日期:2023-05-22
  • 作者简介:艾纯明(1987- ),男,吉林梅河口人,副教授,博士,硕士生导师,研究方向为矿山安全、采矿方法等。E-mail:a3aizi@163.com
  • 基金资助:
    辽宁省教育厅基础研究项目(LJ2020JCL002);辽宁工程技术大学学科创新团队资助项目(LNTU20TD-25,LNTU20TD-31);国家自然科学基金项目(51604138)

Dynamic Cluster Grouping Analysis of Occurrence of Structural Plane in Natural Rock Mass

AI Chun-ming1,2, LU Yun3, SUN Ping-ping1,2   

  1. 1. College of Safety Science and Engineering, Liaoning Technical University, Huludao 125000, China;
    2. Key Laboratory of Thermal Disaster and Prevention, Ministry of Education, Huludao 125000, China;
    3. JCHX Mining Management Co., Ltd., Beijing 100070, China
  • Received:2021-12-09 Revised:2022-02-04 Online:2023-05-01 Published:2023-05-22

摘要: 天然结构面产状分组对于岩体工程有着至关重要的作用。鉴于传统的分组方法存在近直立或近水平产状的结构面分组不准的不足,提出了一种结构面动态聚类分组分析方法。该方法据结构面的倾角和倾向确定聚类中心,以结构面之间夹角大小为依据,经多次迭代计算得到分组结果。将该方法应用于白云鄂博东矿303条结构面分组,并与快速聚类分组法进行对比。结果表明:白云鄂博东矿303条结构面分组后得到了3组优势结构面,其结果与结构面产状等密度图十分吻合。动态聚类分析法不仅计算简便、易于操作,而且弥补了传统方法无法定量等缺点,使得结构面分组结果更加准确,具有较强的实际意义。

关键词: 天然岩体, 结构面, 优势产状, 动态聚类

Abstract: The grouping of natural structural planes is critical in rock mass engineering. Traditional grouping methods are inaccurate in grouping structural planes with near-vertical or near-horizontal occurrence. In view of this, a dynamic clustering analysis method for structural planes is proposed. The clustering center is determined based on the dip angle and inclination of structural planes, and the grouping result is obtained by iterative calculation based on the angle between structural planes. The method was applied to group 303 structural planes in Bayan Obo East mine and compared with the fast clustering method. Three dominant groups of structural planes were identified after the grouping of 303 structural planes, which agree well with the isodensity map of structural plane occurrence. The dynamic clustering analysis method is not only simple and easy to calculate but also overcomes the limitations of traditional methods in quantification, making the grouping of structural planes more accurate and practically significant.

Key words: natural rock mass, structural plane, dominant occurrence, dynamic clustering

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