AI Slope Stability Predictor
Infinite slope model with pore pressure correction.
AI Slope Stability Predictor – Detailed Description
The AI Slope Stability Predictor is an interactive web-based geotechnical analysis tool developed to evaluate shallow slope stability using the infinite slope model with pore pressure correction. The tool computes the Factor of Safety (FS) in real time based on classical soil mechanics and effective stress principles.
It is designed for civil engineering students, researchers, and practicing engineers who require a fast and transparent method for preliminary slope stability assessment.
Engineering Background
The tool implements the classical infinite slope stability equation:
- c′ = Effective cohesion (kPa)
- φ′ = Effective friction angle (degrees)
- γ = Unit weight of soil (kN/m³)
- H = Vertical height of slope (m)
- β = Slope angle (degrees)
- ru = Pore pressure ratio
The equation accounts for both cohesion-based shear resistance and frictional resistance modified by pore water pressure. The pore pressure ratio reduces effective stress, simulating groundwater effects and rainfall-induced instability.
Functional Capabilities
1. Soil Parameter Integration
Predefined soil types such as soft clay, stiff clay, loose sand, and dense sand are included. These presets automatically assign representative cohesion and friction values. Users can also enter site-specific laboratory values manually.
2. Real-Time Factor of Safety Computation
The tool instantly calculates FS after input submission. All angular values are internally converted to radians for computational accuracy. Input validation prevents undefined or non-numeric entries.
3. Groundwater Influence Modeling
The pore pressure ratio (ru) enables simulation of:
- Dry slope condition (ru = 0)
- Partially saturated soil
- Fully saturated critical condition
This allows users to evaluate how rising groundwater reduces slope stability.
4. Stability Classification System
The computed Factor of Safety is categorized as:
- FS < 1.0 → Unstable (Failure Expected)
- 1.0 ≤ FS < 1.5 → Marginal Stability (Reinforcement Recommended)
- FS ≥ 1.5 → Stable Design Range
This classification aligns with common geotechnical engineering design practice.
5. Visual Stability Representation
The tool provides:
- Dynamic progress bar linked to FS magnitude
- Graphical safety scale with threshold markers
- Color-coded stability status
These visual elements improve clarity and educational value.
Engineering Assumptions
- Failure surface is parallel to the slope surface
- Soil is homogeneous and isotropic
- No layered stratigraphy considered
- No surcharge loads included
- No seismic forces included
- Applicable primarily to shallow translational failures
This tool is intended for preliminary analysis and educational demonstration only. It should not replace detailed geotechnical investigation or advanced numerical modeling for final design.
Practical Applications
- Teaching slope stability fundamentals
- Demonstrating pore pressure influence
- Sensitivity analysis of soil parameters
- Preliminary hazard screening
- Concept validation before advanced modeling
Future Expansion Potential
- Rainfall-triggered pore pressure modeling
- Seismic coefficient (kh) integration
- GIS-based slope input automation
- Hybrid AI-based correction models
- Probabilistic stability analysis
The framework allows integration with AI-driven landslide susceptibility systems and advanced hazard platforms.
Conclusion
The AI Slope Stability Predictor combines classical geotechnical theory with modern interactive visualization. It provides a transparent, physics-based evaluation of slope safety while remaining simple and accessible.
It forms a strong foundation for developing hybrid AI-assisted slope stability systems in the future.