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Original Articles

Research on analytical conversion method of self-balanced test pile results

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Pages 7209-7225 | Received 26 May 2021, Accepted 16 Sep 2021, Published online: 04 Oct 2021
 

Abstract

An analytical conversion method of self-balanced test of foundation pile bearing capacity is proposed. First, the load transfer matrices for the elastic-plastic state of the upper and lower segment piles in a multi-layer foundation were derived under the assumption of the load transfer function of the pile side associated with the ideal elastic-plastic model. Then the internal forces and vertical displacements at each micro-element of the upper and lower segment of the pile were calculated by programming, and the results of the self-balanced test pile were converted into the load-displacement curve of the conventional static load test by substituting the accurate conversion formula, and the ultimate bearing capacity was obtained. Finally, by combining with an engineering test pile example, two groups of loading results of anchor pile method and self-balanced method were used to verify the theoretical analysis of conversion method in this work. It can be concluded that the load-displacement curves obtained by this conversion method are more consistent with the results of the conventional static pressure tests compared with the simplified conversion method. Moreover, the proposed model can be widely used in the self-balanced test engineering of pile bearing strength with sufficient accuracy.

Acknowledgements

The authors would like to acknowledge the National Natural Science Foundation of China and Guangxi Provincial Department.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research is financially supported by the National Natural Science Foundation of China (Grant No. 52068004, 51978179 and 51768006), the Key R&D Program of Guangxi Province (Grant No. AB19245018 and AB17195035) the Technical Innovation Guidance Program of Guangxi Province (Grant No. AC20238002) and Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education.

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