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Physical modelling to demonstrate the feasibility of screw piles for offshore jacket-supported wind energy structures

Abstract:
Screw piles potentially offer quieter installation and enhanced axial tensile capacity over straight-shafted driven piles. As such, they have been suggested as a possible foundation solution for offshore jacket-supported wind turbines in deeper water. To investigate the feasibility of their use in this setting, centrifuge testing of six model screw piles of different designs was conducted to measure the installation requirements and ultimate axial capacity of the piles in very dense and medium-dense sand. The screw piles were designed to sustain loads generated by an extreme design scenario using published axial capacity and torque prediction formulae. Single- and double-helix designs, including an optimised design, intended to minimise installation requirements, with reduced geometry were installed and tested in-flight. Piles in the medium-dense sand, for example, had significant installation requirements of up to 18·4 MNm (torque) and 28·8 MN (vertical force), which were accurately predicted using correlations with cone resistance data (cone penetration test). Existing axial capacity design methods did not perform well for these large-scale screw piles, overestimating compressive and tensile capacities. Revised analytical methods for installation and axial capacity estimates are proposed here based on the centrifuge test results.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1680/jgeot.18.P.311

Authors

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Role:
Author
ORCID:
0000-0002-4843-5498
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Role:
Author
ORCID:
0000-0001-6770-4836
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Role:
Author
ORCID:
0000-0002-4833-9412
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Role:
Author
ORCID:
0000-0002-7368-4285
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0003-1936-881X


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Funder identifier:
https://ror.org/03h2bxq36
Grant:
753156


Publisher:
ICE Publishing
Journal:
Géotechnique More from this journal
Volume:
72
Issue:
2
Pages:
108-126
Publication date:
2020-10-27
Acceptance date:
2020-09-15
DOI:
EISSN:
1751-7656
ISSN:
0016-8505


Language:
English
Keywords:
Pubs id:
2360749
Local pid:
pubs:2360749
Source identifiers:
W3088443150
Deposit date:
2026-03-19
ARK identifier:

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