Settlement Analysis and Parameter Inversion of a Deep-Water Mega Caisson Foundation Using the HSS Constitutive Model

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Authors: Xuechao Dong, Mingwei Guo, Zheng Lu, Jiahang Li, Junlin Jiang
Cited by: 0
References: 20

Abstract

The advancement of large-scale marine infrastructure demands increasingly accurate prediction of settlement in deep-water foundations. The caisson is an important type of deep-water foundation whose additional settlement induced by superstructure construction directly impacts the overall safety of the project. This study focuses on the main tower foundation of the Changtai Yangtze River Bridge, recognized as the world’s largest deep-water caisson foundation. A three-dimensional finite element model was developed using the hardening soil model with small-strain stiffness (HSS) constitutive model to simulate the settlement response of the caisson foundation throughout the entire superstructure construction process. The model’s reliability was verified through systematic comparison with field monitoring data. Furthermore, an inversion analysis was conducted on the initial shear modulus (G0ref), the most sensitive parameter of the HSS model, based on the measured data. The results reveal that its optimal value exhibits significant load dependency, varying according to the construction stage. Accordingly, practical strategies for parameter determination are proposed: a fixed-value method (G0ref = 2Eurref) suitable for conventional design and a more precise stage-specific value method. Both approaches markedly enhance the settlement prediction accuracy, particularly under high-load conditions. The findings offer valuable insights for the refined design and safety assessment of similar deep-water mega-foundation projects.

Fields of Study & Subjects

Geotechnical Engineering and Soil Mechanics Soil Finite Element Methods Geotechnical Engineering and Soil Stabilization

Publication details

Journal / source
Journal of Marine Science and Engineering
Volume
14
Issue
5
Pages
453–453
Publication date
27 February 2026
Language
EN