Version 1
: Received: 21 May 2024 / Approved: 22 May 2024 / Online: 23 May 2024 (02:55:38 CEST)
How to cite:
Chokkerd, J.; Udomchai, A.; Sultornsanee, S.; Angkawisittpan, N.; Jantosut, P.; Sangiamsak, N.; Kaewhanam, N. On the Prediction of the California Bearing Ratio (CBR) from the Dynamic Cone Penetrometer (DCP) for Subgrade Soil. Preprints2024, 2024051459. https://doi.org/10.20944/preprints202405.1459.v1
Chokkerd, J.; Udomchai, A.; Sultornsanee, S.; Angkawisittpan, N.; Jantosut, P.; Sangiamsak, N.; Kaewhanam, N. On the Prediction of the California Bearing Ratio (CBR) from the Dynamic Cone Penetrometer (DCP) for Subgrade Soil. Preprints 2024, 2024051459. https://doi.org/10.20944/preprints202405.1459.v1
Chokkerd, J.; Udomchai, A.; Sultornsanee, S.; Angkawisittpan, N.; Jantosut, P.; Sangiamsak, N.; Kaewhanam, N. On the Prediction of the California Bearing Ratio (CBR) from the Dynamic Cone Penetrometer (DCP) for Subgrade Soil. Preprints2024, 2024051459. https://doi.org/10.20944/preprints202405.1459.v1
APA Style
Chokkerd, J., Udomchai, A., Sultornsanee, S., Angkawisittpan, N., Jantosut, P., Sangiamsak, N., & Kaewhanam, N. (2024). On the Prediction of the California Bearing Ratio (CBR) from the Dynamic Cone Penetrometer (DCP) for Subgrade Soil. Preprints. https://doi.org/10.20944/preprints202405.1459.v1
Chicago/Turabian Style
Chokkerd, J., Noppadol Sangiamsak and Nopanom Kaewhanam. 2024 "On the Prediction of the California Bearing Ratio (CBR) from the Dynamic Cone Penetrometer (DCP) for Subgrade Soil" Preprints. https://doi.org/10.20944/preprints202405.1459.v1
Abstract
This study investigates the correlation between the California Bearing Ratio (CBR) and the Dynamic Cone Penetrometer (DCP) for subgrade soil analysis. The paper aims to provide practical equations for predicting CBR values from DCP test results, enhancing the efficiency of soil assessments in engineering practice. By analyzing test data and proposing correlations for different soil groups, the study introduces recalibrated correlations that demonstrate high accuracy in predicting CBR values. The newly proposed equations offer reliable predictions with R2 values of 0.89, 0.92, and 0.94 for clean sand, silty sand or sandy silt, and cohesive soil, respectively. These correlations serve as valuable tools for engineers, enabling rapid and accurate CBR estimations for improved decision-making in various engineering projects.
Keywords
California Bearing Ratio; CBR; Dynamic Cone Penetrometer; DCP; Sand; Subgrade; Prediction; Estimation; Highway; correlation; construction
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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