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Lookup NU author(s): Dr Sadegh NadimiORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
This work presents a simplified method for the nonlinear analysis of the load-displacement response of piles in multi-layered soils. A new interface model based on the disturbed state concept (DSC) was put forth to simulate the interface shear stress-displacement relationship by considering the nonlinear hardening-softening behaviour. There is only one extra parameter included, and it is easily calibrated using conventional interface shear tests. The good agreement between predictions and experimental data from interface direct shear tests validated the performance of the proposed DSC model. The DSC model performed better in terms of predictions when compared to the hyperbolic model. Next, the soil-structure interface model and bearing capacity theory are coupled to provide a theoretical framework for the analysis of pile load transfer in saturated and unsaturated multi-layered soils, where DSC models were employed to represent base resistance as well as skin friction. This work also discusses the profile of steady-state matric suction in situ, soil-water characteristic curve, and pore-water pressure of unsaturated soils. The proposed method has the particular advantage of being used in practice as it is simple to obtain input parameters from laboratory tests or SPT or CPT tests. The proposed framework is then applied to the analysis of four well-documented case studies. The proposed approach and the static load test results from the field measurements are found to be in satisfactory agreement, indicating that the proposed method performs well. The proposed method is suggested to be utilised for preliminary analysis, planning a suitable programme of loading tests, as well as optimizing the pile design by back analysis of the load test results.
Author(s): Pham TA, Sutman M, Nadimi S, Medero GM
Publication type: Article
Publication status: Published
Journal: Computers and Geotechnics
Year: 2024
Volume: 171
Print publication date: 01/07/2024
Online publication date: 27/04/2024
Acceptance date: 09/04/2024
Date deposited: 27/02/2025
ISSN (print): 0266-352X
ISSN (electronic): 1873-7633
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.compgeo.2024.106331
DOI: 10.1016/j.compgeo.2024.106331
Data Access Statement: The data that has been used is confidential
