Journal of Shandong University(Engineering Science) ›› 2026, Vol. 56 ›› Issue (4): 145-152.doi: 10.6040/j.issn.1672-3961.0.2025.023

• Civil Engineering • Previous Articles    

Reliability analysis of vertically loaded compressive piles considering uncertainties in material and geometric parameters

Zhang Jun1, Lu Pengxu2, Wang Wei3, Liu Shanwei1*, Tan Xiaohui1   

  1. Zhang Jun1, Lu Pengxu2, Wang Wei3, Liu Shanwei1*, Tan Xiaohui1(1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China;
    2. Power China Construction Group Ltd., Beijing 100120, China;
    3. Anhui Construction Engineering Testing and Research Institute Co., Ltd., Hefei 230051, Anhui, China
  • Published:2026-08-12

Abstract: This paper aims to establish a reliability analysis method for vertically loaded piles in unsaturated soils by considering the uncertainties in soil physic-mechanical parameters and pile-soil geometric parameters. The ultimate bearing capacity of pile foundations was calculated using theoretical formulas, where the β-method was used to determine pile side friction and Terzaghi's formula was employed to evaluate pile tip resistance. Based on the first-order reliability method, the effects of variability in soil layer thickness and pile geometric dimensions on the reliability indices of pile foundations were elucidated. The rationality and accuracy of the proposed calculation method were verified through specific case studies. Parameter analysis showed that the uncertainty in soil layer thickness had little influence on the reliability indices of pile foundations, whereas the uncertainty in pile geometric parameters had a significant impact. Under the same coefficient of variation of the pile geometric parameters, the reliability index of compression piles decreased with increasing groundwater level. However, the influence of groundwater level on the reliability index was less significant than that of the variability in the pile geometric parameters.

Key words: compressive pile, reliability index, ultimate bearing capacity, Monte Carlo Method, uncertainty

CLC Number: 

  • TU43
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