Features of this tool:
- Interactive Inputs: Users can input Gravel percentage, Fines percentage, Liquid Limit (LL), Maximum Dry Density (MDD) and Optimum Moisture Content (OMC).
- Accuracy = 81%
- Automatic soil classification based on CBR value
- Engineering interpretation of soil strength
- Visual indicator showing soil strength from Very Poor → Excellent.
- The tool now interprets results for real engineering decisions:
- 0–3 Stabilization required
- 3–7 Low traffic roads
- 7–20 Subgrade for moderate traffic
- 20–50 Highway subbase
- >50 Base layers / airfields
- Users can download a soil report file containing:Predicted CBR, Soil classification and Engineering suitability.
The Soil CBR Predictor by NeuroCivil is an online civil engineering tool that estimates the California Bearing Ratio (CBR) of soil using important geotechnical parameters such as gravel content, fines content, liquid limit (LL), maximum dry density (MDD), and optimum moisture content (OMC).
CBR is a key parameter used in pavement design, road construction, subgrade evaluation, and highway engineering. This tool applies an empirical prediction model to calculate the expected CBR value of soil and automatically classifies the soil into standard CBR strength categories.
Based on the predicted CBR value, the tool also provides engineering interpretation, indicating whether the soil is suitable for subgrade, subbase, highway base layers, or requires stabilization.
Key features include:
Instant CBR prediction from soil properties
Automatic soil strength classification
Visual CBR strength meter
Traffic suitability indicator
Downloadable soil report
The NeuroCivil CBR Predictor is designed for civil engineering students, geotechnical engineers, highway engineers, and researchers who need a quick preliminary estimate of soil strength before conducting laboratory CBR testing.