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Published: April 30,2026Correlation Between Dynamic Cone Penetrometer (DCP) and California Bearing Ratio (CBR) for Subgrade Soil Material in Cambodia
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1. Faculty of Civil Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Phnom Penh, Cambodia
Received: August 06,2025 / Revised: September 26,2025 / / Accepted: October 16,2025 / Available online: April 30,2026
This research study investigates the correlation between the Dynamic Cone Penetrometer (DCP) and the California Bearing Ratio (CBR) for subgrade soil material in Cambodia, which is essential for optimizing road pavement design. In Cambodia, there is a lack of a localized standard correlation equation customized to its unique soil and environmental conditions for estimating CBR value using DCP. This gap is particularly relevant with the recent requirement to use the DCP-9kg, replacing the previously used DCP-8kg, as specified in the updated Cambodian design specification D3 102-2024. The study aims to establish and evaluate a correlation equation of CBR obtained from the DCP-9kg, formulate predictive equations, and investigate a correlation between DCP-8kg and DCP-9kg. Field experiments were conducted across Cambodia using the DCP-8kg, DCP-9kg, and in-situ CBR equipment on various soil types, excluding gravel. From 127 field experimental data that were collected from various test locations across all 25 provinces and the capital city covering diverse subgrade soils, 98 data passed the criteria. DCP penetration depth measurements at increments of 50 mm to 250 mm were correlated with in-situ CBR tests. Results indicate a strong correlation at a 50mm depth, which aligns closely with the Australian standard equation. However, there were deviations of 5-7% for CBR values of 50-60% and 0.35-0.5% for 1-5%. Variations at deeper depths showed moderate to good correlations, with sandy soils showing weaker consistency. A correlation between DCP-8kg and DCP-9kg was also developed, noting that DCP-8kg produces higher CBR when CBR exceeds 20%. Field validation indicates that the predictive equation provides an accurate estimation of CBR values for non-sandy soils. The findings contribute to the development of a localized standard for using DCP in Cambodia, which will enhance pavement design, road construction, and maintenance quality by providing a strong, site-specific CBR prediction model under local conditions.
