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With the in-depth deployment of China’s “Belt and Road Initiative” and other major strategies, major national strategic projects, such as the Sichuan–Tibet Railway, will be built in mountain valleys with complex terrain. Under the influence of continuous external factors (rainfall, earthquake, construction, etc.), rock masses of a high-steep rock slope in a stable state gradually transform to unstable rock, and then the unstable rock slides and destroys, which is a major hidden danger threatening the safety of project construction and operation. Unfortunately, the stability factor (SF) can only identify the occurrence of failure and cannot identify the transition of stable to unstable rock; thus, it cannot quantitatively identify unstable sliding rocks. Rock mass failures mostly evolve from unstable rocks. Therefore, how to establish a quantitative evaluation method to identify unstable sliding rock masses is a major problem in the field of early warning and prevention of rock collapse. In this study, the potential sliding surface cohesion and its slip resistance share are analyzed by introducing a cohesive stability factor (CSF) to achieve dynamic consideration of the stability, separation, and damage phases of slip-type rock masses. When the CSF is |
