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Model for the Prediction of California Bearing Ratio Using the Geotechnical Properties for Subgrade Soil

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Multiple regression model predicts CBR in subgrade soil, indicating its application for roadway construction.

The developed model predicts california bearing ratio with a coefficient of determination of 0.6968, demonstrating its effectiveness.
Modeling included geotechnical tests, with CBR varying from very poor to excellent across different soil samples.
Analysis utilized multiple regression, highlighting strong correlations between soil properties and california bearing ratio.
Findings suggest significant impacts of soil characteristics on subgrade suitability for pavement design.

O et al. (2025) studied this question.

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