Geotechnical Report Analysis
AI extraction and analysis of geotechnical data from soil reports for design use.
Definition
Geotechnical Report Analysis AI processes geotechnical investigation reports to extract soil parameters, bearing capacities, groundwater levels, and foundation recommendations. It makes this data accessible for structural design, dewatering planning, and earthwork estimation while flagging critical site conditions.
In Depth
Geotechnical reports are among the most critical project documents, directly influencing foundation design, site grading, dewatering, and construction methods. AI extracts the key data from these often lengthy reports — bearing capacity recommendations, groundwater elevation, soil profiles, settlement estimates, and construction recommendations — and makes it accessible for project-wide queries.
The extraction converts narrative recommendations into structured data. When the geotechnical engineer writes "we recommend a shallow foundation system bearing on the dense sand encountered at elevation +12, with an allowable bearing pressure of 4,000 psf," AI extracts the foundation type (shallow), the bearing stratum (dense sand at elevation +12), and the allowable bearing pressure (4,000 psf) as structured data that the structural engineer and construction team can reference.
Examples
Extracting bearing capacity values
Analyzing boring log data
Identifying groundwater conditions
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Geotechnical Report Analysis AI processes geotechnical investigation reports to extract soil parameters, bearing capacities, groundwater levels, and foundation recommendations. It makes this data accessible for structural design, dewatering planning, and earthwork estimation while flagging critical site conditions.
Extracting bearing capacity values. Analyzing boring log data. Identifying groundwater conditions.
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