Retaining Wall AI
AI for designing earth retention systems.
Definition
Retaining Wall AI assists engineers in designing retaining walls, earth retention systems, and basement walls. These systems understand lateral earth pressures, surcharge loads, drainage requirements, and wall stability. AI can size wall sections, design reinforcement, and ensure retaining systems meet structural and geotechnical requirements.
In Depth
Retaining wall design involves evaluating the soil pressures, selecting the wall type (gravity, cantilever, anchored, MSE), sizing the structural elements, and verifying stability against overturning, sliding, and bearing capacity failure. AI performs the stability and structural analysis for each wall segment based on the site-specific soil conditions and loading.
The wall type selection depends on the retained height, the soil conditions, the available footprint, and the proximity of adjacent structures. AI evaluates the feasible options — a cantilever concrete wall might work for a 12-foot height, while a mechanically stabilized earth (MSE) wall might be more economical for a 25-foot height. The analysis compares structural adequacy, construction cost, and schedule for each option.
Examples
Designing cantilever retaining walls
Analyzing soil nail wall systems
Sizing basement wall reinforcement
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Retaining Wall AI assists engineers in designing retaining walls, earth retention systems, and basement walls. These systems understand lateral earth pressures, surcharge loads, drainage requirements, and wall stability. AI can size wall sections, design reinforcement, and ensure retaining systems meet structural and geotechnical requirements.
Designing cantilever retaining walls. Analyzing soil nail wall systems. Sizing basement wall reinforcement.
Automated Drawing Review: Automatically review drawings against building codes, internal standards, and client requirements.