Browse by author
Lookup NU author(s): Professor Mohamed Rouainia, Dr Stelios Panayides
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
The self-boring pressuremeter (SBP) test was designed to measure in situ engineering properties of the ground with a relatively small amount of disturbance. The properties that may be inferred from the test depend on the mechanical model used for its interpretation and on the significance given to other previously available information. In this paper, numerical modelling using the advanced kinematic hardening structure model (KHSM) for natural soils has been performed to investigate the influence of the initial structure and the degradation of structure on the SBP cavity pore pressures and expansion curves within London Clay. The validation of the KHSM against well-known analytical solutions and the calibration procedure used to identify the material parameters are presented. The numerical analyses reveal that the simulations of the SBP tests using the KHSM model provide a very close match of the expansion curves to the experimental data, but underestimate the pore pressures at the initial stage of the SBP expansion test. A parametric study has been carried out to determine the effects induced by the parameters of the destructuration model along with the disturbance experienced during the SBP installation, which is difficult to estimate in situ. Two disturbance scenarios were considered where the initial structure was assumed to vary linearly across an area close to the wall of the cavity. These simulations indicate that accounting for installation disturbance leads to a substantial improvement in pore pressure predictions for the SBP.
Author(s): Rouainia M, Panayides S, Arroyo M, Gens A
Publication type: Article
Publication status: Published
Journal: Acta Geotechnica
Year: 2020
Volume: 15
Pages: 2089-2101
Online publication date: 05/03/2020
Acceptance date: 04/02/2020
Date deposited: 09/03/2020
ISSN (print): 1861-1125
ISSN (electronic): 1861-1133
Publisher: Springer
URL: https://doi.org/10.1007/s11440-020-00940-w
DOI: 10.1007/s11440-020-00940-w
Altmetrics provided by Altmetric
