Rock and Soil Mechanics ›› 2025, Vol. 46 ›› Issue (12): 3885-3898.doi: 10.16285/j.rsm.2025.0061

• Fundamental Theory and Experimental Research • Previous Articles     Next Articles

Reliability analysis of pile groups with different lengths in expansive soils with spatial variation considering the effect of rainfall

ZHANG Jun, TAN Xiao-hui, LIU Shan-wei, ZHA Fu-sheng, WANG Qiao   

  1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, Anhui 230000, China
  • Received:2025-01-16 Accepted:2025-05-15 Online:2025-12-11 Published:2025-12-20
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (42372302, 42030710) and the National Key Research and Development Program of China (2022CSJGG1200).

Abstract: Pile groups with members of different lengths can mitigate differential settlement among foundation piles, prevent basin settlement, and ensure consistent reliability indicators across individual piles. This paper presents an approach for analyzing the reliability of pile groups with dissimilar pile lengths in spatially variable expansive soils under rainfall. The variation of soil matric suction with depth under rainfall infiltration conditions was analyzed by numerical simulation software. The Karhunen-Loève (KL) expansion method is used to discretize random fields. The pile-pile and pile-soil interactions in a pile group with dissimilar pile lengths, and the influence of the reduction of matric suction on the ultimate bearing capacity of the piles are analyzed using the modified load transfer method (LTM). The first-order reliability method (FORM) is employed to solve the reliability indices of each pile in a pile group, and the sequential component method (SCM) is adopted to estimate the reliability index of the pile group. Parametric studies show that increasing rainfall intensity and duration reduce the reliability indices of both individual piles and the pile group.

Key words: spatial variability, reliability, pile, load transfer method, random field

CLC Number: 

  • TU473
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