岩质边坡深层倾倒破坏过程点云数据

本数据集由岩质边坡深层倾倒破坏试验中获取的多阶段三维点云数据构成。数据采用 RIEGL VZ-2000i 三维激光扫描仪获取，系统记录了边坡在倾倒演化过程中的表面形变特征。数据采集过程中通过固定仪器位置、保持一致扫描参数有效控制了点云拼接误差，提升了时序数据的可比性。采集后的点云数据经降噪、裁剪及无效点剔除处理，形成质量可靠的结构化三维形变数据。本数据集可用于分析倾倒破坏的几何变形规律、识别关键阶段演化特征，并可支撑相关数值模拟与参数反演研究。

This dataset consists of multi-stage 3D point cloud data acquired from deep toppling failure tests on rock slopes. The data was collected using a RIEGL VZ-2000i 3D laser scanner, which recorded the surface deformation characteristics of the slope during the toppling evolution process. During data collection, point cloud registration errors were effectively controlled by fixing the instrument position and maintaining consistent scanning parameters, thereby improving the comparability of the time-series data. The collected point cloud data was processed via noise reduction, cropping and invalid point removal to produce high-quality structured 3D deformation data. This dataset can be used to analyze the geometric deformation laws of toppling failures, identify the evolutionary characteristics of key stages, and support related numerical simulation and parameter inversion research.