Imperial College London
Alternate

Dr J Antonio H Carraro

Faculty of Engineering, Department of Civil and Environmental Engineering

Honorary Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6038antonio.carraro Website

 
 
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Location

 

528BSkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lim:2018:10.1016/j.compgeo.2017.05.024,
author = {Lim, GT and Pineda, JA and Boukpeti, N and Carraro, JAH},
doi = {10.1016/j.compgeo.2017.05.024},
journal = {Computers and Geotechnics},
pages = {204--221},
title = {Predicted and measured behaviour of an embankment on PVD-improved Ballina clay},
url = {http://dx.doi.org/10.1016/j.compgeo.2017.05.024},
volume = {93},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents Class-A and Class-C predictions of the behaviour of an embankment built on soft Ballina clay improved with prefabricated vertical drains. Predictions were carried out using hand calculations and the finite-difference method. The latter approach allowed the variation of soil parameters and stress levels with depth to be considered in the analyses. An alternative systematic procedure for estimating soil parameters based on high-quality laboratory data is described. Class-A predictions highlighted some disagreement with the measured total settlements and pore pressure dissipation rates. For Class-C predictions, the choice of geotechnical parameters used in the analyses was guided by a systematic assessment of the stress states undergone by soil elements underneath the embankment centreline. This led to a better agreement between predicted and measured data, which demonstrates the potential of the proposed procedure for future analyses of embankment behaviour on soft Ballina clay.
AU  - Lim,GT
AU  - Pineda,JA
AU  - Boukpeti,N
AU  - Carraro,JAH
DO  - 10.1016/j.compgeo.2017.05.024
EP  - 221
PY  - 2018///
SN  - 0266-352X
SP  - 204
TI  - Predicted and measured behaviour of an embankment on PVD-improved Ballina clay
T2  - Computers and Geotechnics
UR  - http://dx.doi.org/10.1016/j.compgeo.2017.05.024
UR  - https://www.sciencedirect.com/science/article/pii/S0266352X17301465
UR  - http://hdl.handle.net/10044/1/48828
VL  - 93
ER  -
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