基于三维点云的岩体结构面自动分类与参数计算

结构面间距是岩体稳定性和力学特性分析中的一个重要参数，在岩石力学、采矿工程、边坡监测等领域的数值计算中广泛应用.本文以岩体边坡露头为研究对象，基于非接触测量获得的三维点云数据，提出一种基于密度聚类的结构面细化分类方法；在结构面粗略分组提取的基础上，通过投影变换、散乱点拟合等算法，求得结构面间距和岩体体积节理数.设计开发了结构面细化分类及间距等参数计算与分析原型系统，实际案例分析表明，本文方法可有效实现结构面的自动细化分类，并能够计算出间距等相关参数，可为岩体质量分级和岩体稳定性分析等提供方法支撑.

Automatic Discontinuity Classification and Parameter Calculation from Rock Mass 3D Point Cloud

The structural plane spacing is an important parameter in rock mass stability and mechanical properties analysis. It is widely used in the numerical computation of rock mechanics， mining engineering， slope monitoring and other fields. Based on the three-dimensional rock mass slope point cloud data acquired by non-contacting surveying method， this paper proposes a structural surface refinement classification method using density clustering. Projection transformation and scattered point fitting are used after a previous step of general discontinuity classification. The refinement classification is used to compute the structural plane spacing and the rock mass joint number. A prototype system for parameter calculation and analysis of structural surface refinement classification and spacing was designed and developed. The real case experiment and analysis show that the proposed method performs effectively in realizing the automatic refinement classification of structural planes， and in calculating the related parameters such as structural surface spacing， which may provide further support for rock mass quality classification and rock mass stability analysis.