岩土力学2026，Vol.47Issue(8)：2629-2637,9.DOI:10.16285/j.rsm.2025.0987
基于点云粗糙度的岩体结构面迹线智能识别方法
An automatic recognition method of rock mass trace based on 3D point cloud using a roughness
摘要
Abstract
Discontinuity traces constitute linear features generated at the intersection of rock mass surfaces and rock discontinuity,serving as a fundamental and critical parameter for characterizing the strength of rock masses.Quick and accurate identification of the traces of rock mass discontinuities is of great significance for the evaluation of rock mass stability.This paper proposes a novel method for automatically identifying discontinuity traces from 3D point cloud data.Firstly,the potential feature points of the trace are identified based on the differences in the roughness features of the point clouds.Then,the L1 median algorithm is employed to refine the potential feature points and extract the trace skeleton points.This process eliminates the need for point cloud triangulation and can directly process the raw data.Finally,an improved skeleton line growth algorithm is used to connect the discrete skeleton points to generate a continuous trace line.The effectiveness of the new method is validated via four point cloud datasets,and the recognition results are compared with those obtained using CloudCompare and existing methods.The results show that the new method performs exceptionally well in trace line extraction with a high degree of automation,thereby providing effective data support for rock mass quality assessment and stability analysis.关键词
结构面迹线/三维点云/智能识别/岩体结构面Key words
discontinuity trace/3D point cloud/intelligent recognition/rock mass discontinuity分类
建筑与水利引用本文复制引用
周明哲,富海鹰,孔俐,李雨梵,赵炎炎..基于点云粗糙度的岩体结构面迹线智能识别方法[J].岩土力学,2026,47(8):2629-2637,9.基金项目
国家自然科学基金(No.52278372).This work was supported by the National Natural Science Foundation of China(52278372). （No.52278372）
