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A LSTM-based method for intelligent prediction on mechanical response of precast nodular piles

  • Chen, Xiao-Xiao (The First Affiliated Hospital of Wenzhou Medical University) ;
  • Zhan, Chang-Sheng (Wenzhou Ecological Park Development and Construction Investment Group Co., Ltd) ;
  • Lu, Sheng-Liang (School of Civil Engineering and Architecture, Wenzhou Polytechnic)
  • Received : 2021.10.11
  • Accepted : 2022.07.09
  • Published : 2022.08.25
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Abstract

The determination for bearing capacity of precast nodular piles is conventionally time-consuming and high-cost by using numerous experiments and empirical methods. This study proposes an intelligent method to evaluate the bearing capacity and shaft resistance of the nodular piles with high efficiency based on long short-term memory (LSTM) approach. A series of field tests are first designed to measure the axial force, shaft resistance and displacement of the combined nodular piles under different loadings, in comparison with the single pre-stressed high-strength concrete piles. The test results confirm that the combined nodular piles could provide larger ultimate bearing capacity (more than 100%) than the single pre-stressed high-strength concrete piles. Both the LSTM-based method and empirical methods are used to calculate the shift resistance of the combined nodular piles. The results show that the LSTM-based method has a high-precision estimation on shaft resistance, not only for the ultimate load but also for the working load.

Keywords

Acknowledgement

The research described in this paper was financially supported by the research fund of Wenzhou Polytechnic (No. WZY2020003) and Wenzhou Ecological Park Management Committee (No. sty2020002). The source of financial support is gratefully acknowledged.

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