Probabilistic analysis on the lateral capacity of suction caissons in spatially variable soils

Abstract

This paper aims to investigate the ultimate lateral capacity of suction caissons embedded in clay with spatially varying undrained shear strength in the framework of probabilistic analysis for the first time. A non-stationary three-dimensional random field is used to represent the undrained shear strength with a linearly increasing trend with depths below the mudline. The stochastic finite difference method is employed to determine the probabilistic ultimate lateral capacity of suction caissons. The influences of the clay undrained strength heterogeneity κ, the coefficient of variation of undrained strength COV_su, and the autocorrelation distances on the probability density function (PDF) curves and cumulative distribution function (CDF) curves of the normalized ultimate lateral capacity N_h are investigated . It is found that both the mean and standard deviation of normalized ultimate lateral capacity N_h increase with the undrained strength heterogeneity κ, but the coefficient of variation of N_h does not. Besides, the small autocorrelation distance of clay results in the low variability of normalized ultimate lateral capacity. This indicates the significance of probabilistic site characterization of the undrained strength of clay.

Keywords:

• Lateral capacity
• suction caissons
• probabilistic analysis
• random fields
• stochastic finite difference method

Acknowledgments

The authors are very grateful for the financial support of the National Natural Science Foundation of China (Grant No. 42172309).

Disclosure statement

No potential conflict of interest was reported by the author(s).