Severe punch-through of jack-up rig foundations can occur due to the presence of a stronger sand layer in a bed of relatively soft clay. Analytical estimation of the bearing capacity and leg load–penetration response on such multi-layer stratigraphies is challenging. Accurate mechanism-based models need to be established in each of the layers involved and the effects of the mechanisms in each of the layers on the response in the other layers must be captured. Based on the recently developed failure stress-dependent punch-through models for sand–clay stratigraphies, an extended model is proposed for clay–sand–clay stratigraphies. Half-spudcan particle image velocimetry centrifuge tests and full-spudcan centrifuge tests are used in developing and validating the extended model. The centrifuge test results were discussed in a companion paper and this paper focuses on the analytical developments and prediction assessment. Both spudcan peak resistance (qpeak) and spudcan punch-through depth (dpunch) can be estimated using the model. The predictions by the extended model and by the current industry guidelines are compared against the centrifuge test data. The extended model proposed in this paper outperforms the approaches suggested in the guidelines. An advantage of the proposed approach is that it can be used for either sand–clay or clay–sand–clay scenarios and exhibits excellent performance compared to the model testing dataset considered in this work for both cases. The resulting penetration resistance model is a useful design tool for routine punch-through risk assessment.
Article navigation
August 2017
Research Article|
January 16 2017
Foundation punch-through in clay with sand: analytical modelling Available to Purchase
S. N. Ullah;
S. N. Ullah
*Department of Civil and Environmental Engineering, National University of Singapore, Singapore; formerly Centre for Offshore Foundation Systems, University of Western Australia, Crawley, WA, Australia.
Search for other works by this author on:
S. Stanier;
S. Stanier
†Centre for Offshore Foundation Systems, University of Western Australia, Crawley, WA, Australia.
Search for other works by this author on:
Y. Hu;
Y. Hu
‡School of Civil Environmental and Mining Engineering, University of Western Australia, Crawley, WA, Australia.
Search for other works by this author on:
D. White
D. White
†Centre for Offshore Foundation Systems, University of Western Australia, Crawley, WA, Australia.
Search for other works by this author on:
Publisher: Emerald Publishing
Received:
April 13 2016
Accepted:
November 25 2016
Online ISSN: 1751-7656
Print ISSN: 0016-8505
© 2016 Thomas Telford Ltd
2016
Geotechnique (2017) 67 (8): 672–690.
Article history
Received:
April 13 2016
Accepted:
November 25 2016
Citation
Ullah SN, Stanier S, Hu Y, White D (2017), "Foundation punch-through in clay with sand: analytical modelling". Geotechnique, Vol. 67 No. 8 pp. 672–690, doi: https://doi.org/10.1680/jgeot.16.P.101
Download citation file:
Suggested Reading
Foundation punch-through in clay with sand: centrifuge modelling
Geotechnique (March,2017)
A macro-element model for predicting the combined load behaviour of spudcan foundations in clay overlying sand
Geotechnique (December,2021)
Experimental study of uplift resistance of shallow skirted foundations in clay under transient and sustained concentric loading
Geotechnique (August,2009)
A comparison of full profile prediction methods for a spudcan penetrating sand overlying clay
Geotechnique Letters (August,2015)
The vertical capacity of grillage foundations
Geotechnique (March,2012)
Related Chapters
Static and cyclic rocking on sand: centrifuge versus reduced-scale 1 g experiments
Geotechnical Earthquake Engineering: Géotechnique Symposium in Print 2015
A new macro-element model encapsulating the dynamic moment–rotation behaviour of raft foundations
Geotechnical Earthquake Engineering: Géotechnique Symposium in Print 2015
Physical modelling
The Essence of Geotechnical Engineering: 60 years of Géotechnique
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
