Version 1
: Received: 4 April 2024 / Approved: 4 April 2024 / Online: 5 April 2024 (15:56:17 CEST)
How to cite:
Chokkerd, J.; Udomchai, A.; Sultornsanee, S.; Kaewhanam, N. Recalibration and Recommendation for the Prediction of the California Bearing Ratio (CBR) from Dynamic Cone Penetrometer (DCP). Preprints2024, 2024040404. https://doi.org/10.20944/preprints202404.0404.v1
Chokkerd, J.; Udomchai, A.; Sultornsanee, S.; Kaewhanam, N. Recalibration and Recommendation for the Prediction of the California Bearing Ratio (CBR) from Dynamic Cone Penetrometer (DCP). Preprints 2024, 2024040404. https://doi.org/10.20944/preprints202404.0404.v1
Chokkerd, J.; Udomchai, A.; Sultornsanee, S.; Kaewhanam, N. Recalibration and Recommendation for the Prediction of the California Bearing Ratio (CBR) from Dynamic Cone Penetrometer (DCP). Preprints2024, 2024040404. https://doi.org/10.20944/preprints202404.0404.v1
APA Style
Chokkerd, J., Udomchai, A., Sultornsanee, S., & Kaewhanam, N. (2024). Recalibration and Recommendation for the Prediction of the California Bearing Ratio (CBR) from Dynamic Cone Penetrometer (DCP). Preprints. https://doi.org/10.20944/preprints202404.0404.v1
Chicago/Turabian Style
Chokkerd, J., Sivarit Sultornsanee and Nopanom Kaewhanam. 2024 "Recalibration and Recommendation for the Prediction of the California Bearing Ratio (CBR) from Dynamic Cone Penetrometer (DCP)" Preprints. https://doi.org/10.20944/preprints202404.0404.v1
Abstract
The high reliable correlations between CBR and DCP in general proposed are presented in this paper. We analyzed the test data and correlations from many researchers to find the best equation for prediction the CBR from DCP test. The findings show that all correlations from existing paper are based on local material and cannot apply to soil in a different location in general purpose. New correlations between CBR and DCP were proposed and validated in this paper for general uses. The validation confirmed that these new correlations can predict well with higher R2.
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.
