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Applicability of CPT-based methods in predicting toe bearing capacities of driven piles in sand

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Abstract

This paper presents a study on applicability of predicting toe bearing capacities from cone penetration test (CPT) for PHC (pretensioned spun high-strength concrete) driven piles into deep sandy deposits in the Nakdong River deltaic area west of Busan City in South Korea. Using toe bearing capacities obtained from pile driving analyzer (PDA) tests as reference values, which were reliably calibrated by on-site O-cell tests, the applicability of the CPT-based methods was evaluated using a statistical rank index (RI). A total of 82 piezocone penetration test soundings and 190 PDA test piles were used for reliability analysis in this study. Three correction steps were applied to obtain reliable PDA and CPT data sets before ranking is carried out. The RI index is combined from four criteria: (1) the best-fit line, (2) the arithmetic mean and standard deviation, (3) the cumulative probabilities, and (4) the log-normal and histogram distributions. Based on these criteria the performance of some SPT-based methods in the literature is evaluated.

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Acknowledgments

The research presented in this paper was conducted with funding from the project entitled “Development of Control System for Disaster of Urban Underground Collapse” at Korea Institute of Civil Engineering and Building Technology. The authors acknowledge the financial support from the institution.

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Authors and Affiliations

  1. Civil Engineering Department, Dong-A University, 840 Hadan2-dong, Saha-gu, Pusan, 604-714, Korea

    Le Chi Hung, Tien Dung Nguyen & Sung-Ryul Kim

  2. Geotechnical Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do, 411-712, Korea

    Ju-Hyung Lee

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  1. Le Chi Hung
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  2. Tien Dung Nguyen
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  3. Ju-Hyung Lee
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  4. Sung-Ryul Kim
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Correspondence to Sung-Ryul Kim.

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Hung, L.C., Nguyen, T.D., Lee, JH. et al. Applicability of CPT-based methods in predicting toe bearing capacities of driven piles in sand. Acta Geotech. 11, 359–372 (2016). https://doi.org/10.1007/s11440-015-0398-4

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