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Construction and verification of a unified py curve for laterally loaded piles

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Abstract

Estimation of the lateral pile load capacity is the key design procedure for structures where lateral loads are predominant, such as bridges, tall buildings and offshore platforms. In the process of laterally loaded pile design, the py curve method is the mainstream method and preferred by designers compared to the elastic continuum or finite element analysis. The traditional py curves are derived from some specific field tests and limited data, which do not reflect the overall conditions. In this study, a unified py curve based on the stress increment perspective was constructed by introducing Vesic cavity expansion theory and considering the actual stress state of the surrounding soils. The proposed py curve combines the contributions of the expansion-induced soil radial stress increment, vertical stress increment and lateral soil resistance caused by deep pile rotation. To validate the proposed method, case examples of lateral pile load tests in various soil conditions were prepared and used to compare the py curves from the test results and proposed methods. The py curves calculated from the proposed method show reasonable agreement with measured results and give a good prediction in large deformation analysis.

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Acknowledgements

The majority of the work presented in this article was funded by the National Key Research Projects of China (Grant No. 2016YFC0800201), the National Natural Science Foundation of China (Grant No. 41572273), the Construction Science and Technology Research Project of Jiangsu Province (Grant No. 2014ZD66) and the Fundamental Research Funds for the Central Universities and the Graduate Student Scientific Research Innovation Program of Jiangsu Province (Grant No. KYLX16_0244). These financial supports are gratefully acknowledged.

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Correspondence to Hongjiang Li or Liyuan Tong.

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Li, H., Tong, L., Liu, S. et al. Construction and verification of a unified py curve for laterally loaded piles. Bull Eng Geol Environ 77, 987–997 (2018). https://doi.org/10.1007/s10064-017-1111-7

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  • DOI: https://doi.org/10.1007/s10064-017-1111-7

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