By combining your 3D model, Digital Elevation Model (DEM), and user-defined rock/soil material properties, the AI utilizes a 3D limit equilibrium method (the Modified Bishop’s method) to analyze circular slip surfaces. In practice, it converts drone imagery into a crucial geotechnical dataset that highlights potential slope failure zones.
3D Overlay: A colored heat map draped over your 3D model representing the Safety Factor (SF) distribution.
Safety Factor Readout: Real-time SF values displayed at your cursor's location as you hover over the heat map.
Exports: Geolocated raster TIF files, colored TIF files, and a formatted Slope Stability Report as a PDF.
To run a successful slope stability analysis, you need accurate inputs. The module relies on:
A Geolocated DEM & 3D Model: Generated from your drone imagery reconstruction.
Soil/Material Properties: You must define the physical behavior of your site's soil. Because the solver uses Mohr-Coulomb theory, you will need accurate values for:
Density (e.g., kg/m³)
Cohesive strength (e.g., Pa)
Internal friction angle (in degrees)
Important Technical Note: Strayos’ Slope Stability AI utilizes the Modified Bishop's method, which calculates stability based on a circular slip failure surface. Because of this, the module is designed for materials that behave isotropically as a soil mass—such as soils, heavily fractured or weathered rock, and spoil piles. This tool should not be used to analyze structurally controlled failures in intact rock (e.g., planar, wedge, or toppling failures), as those are governed by specific geological discontinuities rather than circular shear failure.Step 1: Open your terrain. Navigate to the site, then select the Slope Stability AI module on the left-hand menu to load the 3D view of your model.
Step 2: Manage Materials. Click Manage Materials in the side panel. Click Add Material and input your material's Name, Description, Density, Cohesive Strength, and Friction Angle.
Note: You can save multiple materials (e.g., Copper Ore, Iron, Sand) for quick selection in future analyses.
Step 3: Define the Area. Click Add Task. Outline the Region of Interest (ROI) with a polygon to define the specific area you want to analyze. Keeping the selection focused processes faster.
The AI applies a JET-color palette to the 3D model's textures to represent the localized Safety Factor. As you move your cursor across the terrain, the exact SF value is displayed at the bottom of the screen.
Safety Factor Color Scale:
Dark Red: Indicates highly unstable areas (SF < 1.0).
Dark Blue: Indicates highly stable areas (SF > 1.5).
Grid Resampling: The system resamples the XY-plane of your input geometry into a low-dimensional grid using the DEM.
Surface Generation: It generates an array of spherical sliding surfaces around the terrain's geometry based on your control parameters (radiuses and center distances). Spheres that do not intersect with the terrain are filtered out.
Iterative Calculation: For each remaining spherical surface, the AI splits the grid's cells by surface, summarizes the slope failure volume, and prepares the necessary cell data (side areas, volume, angles).
Solver Execution: The solver runs the Modified Bishop's method (ignoring vertical shear strength between slices and applying the Mohr-Coulomb criterion) to obtain the SF.
Accumulation: During these iterations, the absolute minimum Safety Factor values are accumulated into the final result field, ensuring the most critical potential failure zones are highlighted.
Download TIF (Geolocated Raster): Exports the raw, interpolated Safety Factor field data.
Download Colored TIF: Exports the visually colored heat map overlay.
Slope Stability Report: Click the yellow Slope Stability Report button at the bottom of the module to generate a branded PDF summary. This report captures a 3D summary view of the heatmap, material parameters used, and overall stability statistics (Min, Max, Mean, Standard Deviation).