Abstract
The assessment of soil bearing capacity is fundamental for pavement design, but the traditional California Bearing Ratio (CBR) test is time-consuming and costly. The Dynamic Cone Penetrometer (DCP) offers a rapid and cost-effective field alternative. This study develops and validates correlation models between CBR and DCP for clayey, granular, and clayey-granular soils. The analysis was based on 15 CBR tests and evaluated against four established DCP correlation models: Kleyn and Van Heerden, TRL Overseas Road Note 8, US Corps of Engineers, and MOPT Colombia 1992. Results demonstrate that a cubic regression model consistently provides the best fit for all soil types, achieving coefficients of determination (R²) as high as 0.96 for granular soils and exceeding 0.89 for clayey soils. The findings confirm that the DCP test, when paired with the validated cubic correlations, constitutes a precise and efficient tool for estimating CBR, covering efficient on-site testing and information for preliminary design in pavement subgrade.
| Original language | American English |
|---|---|
| Pages (from-to) | 12-25 |
| Number of pages | 14 |
| Journal | SSRG International Journal of Civil Engineering |
| Volume | 12 |
| Issue number | 12 |
| DOIs | |
| State | Indexed - Dec 2025 |
Bibliographical note
Publisher Copyright:© 2025 Seventh Sense Research Group®.
Keywords
- CBR-DCP correlation
- California Bearing Ratio (CBR)
- Dynamic Cone Penetrometer (DCP)
- Geotechnical engineering
- Soil characterization
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