Abstract: In the analysis of the stability of rocky slopes, determining the mechanical parameters of large-scale fractured rock masses is a critical challenge that needs to be addressed. This thesis utilizes unmanned aerial vehicle (UAV) photogrammetry technology to obtain centimeter-level three-dimensional real scene models of slopes. A software called Slope RMI was developed on the VS+C# platform using the OpenGL 3D graphics engine, which identifies rock mass structural features through line and surface interactions, achieving efficient recognition and statistical analysis of structural plane characteristics based on a high-precision 3D model of the study area. Additionally, a synthetic rock mass technique with target rock quality designation as a constraint was proposed, generating a large-scale rock slope calculation model that directly integrates three elements: the mechanical properties of rock, the mechanical properties of structural planes, and the geometric morphology of structural planes. This approach circumvents the difficulties associated with obtaining mechanical parameters of large-scale rock masses and provides a reliable pathway for detailed analysis of the stability of large-scale rocky slopes. The research method has been successfully applied in slope engineering, demonstrating its significant practical value in engineering applications.

Key words: UAV photogrammetry, rock slope, structural surface identification, synthetic rock mass technology, slope stability