滑坡碎屑流灾害是一种具有超强破坏力和巨大影响范围的地质灾害类型，斜坡岩体结构展布的复杂性与岩石强度空间变异性等特征导致其稳定性难以预测。相关研究表明Hoek-Brown准则在节理裂隙十分发育的岩质斜坡的稳定性分析中具有较好的适用性。本项目以震区典型环境脆弱带碎屑结构岩体斜坡为研究对象，通过野外实例调查、三维激光扫描（TLS）与无人机近景摄影测量和岩石力学试验，基于数字图像视觉识别与LiDar点-云三角网区域生长算法，实现多源数据下的岩体的结构与力学参数智能提取与量化。基于HB判据及滑坡失稳临界状态方程，构建多参数协同作用下的岩体稳定性计算理论模型。通过数值计算，构建静态条件下斜坡稳定性计算图表和影响因子β、kh的权重函数，提出基于“图表”+“函数”的碎裂岩体斜坡失稳风险的快速评价方法，研究成果可为滑坡风险评估和防灾减灾决策提供科学依据。

Rock avalanches is a common type of mountain disasters in mountainous area with super destructive power and tremendous influence scope. It’s difficult to attain the slope stability analysis method for the diverse rock mass mechanics and various joint spatial distribution. Previous studies have shown that the Hoek-Brown criterion can provide an accurate failure prediction for rock masses slopes that are heavily jointed. Consequently, heavily jointed rock slopes under typical frail environmental in seismic area are taken as research object. Through field investigation, 3-D Laser Scanning Technology, UAV close-range photogrammetry and rock mechanics test，a quantitative method for rock structural mechanical parameters considering the differences of rock mass structure and rock strength is developed with digital image visual recognition and LiDar point-cloud triangular network area growth algorithm based on multi-source data. Based on the HB criterion and the critical state equation of sliding surface, a theoretical model for rock slope stability calculation under the synergistic action of multiple parameters is constructed. The fast computing model based on the stability chart and β、kh weight functions by numerical calculating is put forward. This research will contribute to promote the level on the mechanism and control of slope instability and also provide the scientific basis and technical support for rock slope stability evaluation, risk prediction and mitigation.