Using discrete-element method hindcasting of screw pile performance for practical design

Yaseen Sharif; Michael Brown; Matteo Ciantia; Alan Lutenegger; Pavan Kumar; Shantanu Patra; Sumanta Haldar

doi:10.1680/jgele.21.00071

Using discrete-element method hindcasting of screw pile performance for practical design

Yaseen Sharif, Michael Brown, Matteo Ciantia, Alan Lutenegger, Pavan Kumar, Shantanu Patra, Sumanta Haldar

Civil Engineering

Research output: Contribution to journal › Article › peer-review

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Abstract

Screw piles have been used to support a variety of structures due to their ease of installation and high axial capacity. Recently, screw piles have been proposed as an alternative foundation solution for offshore renewable structures due to their quiet or silent installation. Due to their variable geometry, design and prediction of installation requirements and its effect on in-service capacity may be challenging. In this research study, the discrete-element method (DEM) is used to numerically recreate a series of onshore field tests. The aim of the study is to investigate the ability of DEM to be used as a practical design tool for the design and deployment of screw piles. In this case study, the effect of the geometric helix pitch on the installation torque and tensile capacity of screw piles installed into sand is investigated. DEM results show that the geometric pitch of a screw pile appears to have little effect on the installation torque. The results show that DEM has the potential to be used as a practical design procedure for complex foundation installation where the simulation needs to capture installation effects.

Original language	English
Pages (from-to)	1-7
Number of pages	7
Journal	Geotechnique Letters
Volume	11
Issue number	4
Early online date	1 Dec 2021
DOIs	https://doi.org/10.1680/jgele.21.00071
Publication status	Published - Dec 2021

Keywords

Screw piles
Discrete element method (DEM)
Pile foundation
pile testing
piles & piling
geotechnical engineering
computational mechanics

ASJC Scopus subject areas

Civil and Structural Engineering
Geotechnical Engineering and Engineering Geology
Earth and Planetary Sciences (miscellaneous)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1680/jgele.21.00071

Author Accepted ManuscriptAccepted author manuscript, 8.52 MBLicence: CC BY

Cite this

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title = "Using discrete-element method hindcasting of screw pile performance for practical design",

abstract = "Screw piles have been used to support a variety of structures due to their ease of installation and high axial capacity. Recently, screw piles have been proposed as an alternative foundation solution for offshore renewable structures due to their quiet or silent installation. Due to their variable geometry, design and prediction of installation requirements and its effect on in-service capacity may be challenging. In this research study, the discrete-element method (DEM) is used to numerically recreate a series of onshore field tests. The aim of the study is to investigate the ability of DEM to be used as a practical design tool for the design and deployment of screw piles. In this case study, the effect of the geometric helix pitch on the installation torque and tensile capacity of screw piles installed into sand is investigated. DEM results show that the geometric pitch of a screw pile appears to have little effect on the installation torque. The results show that DEM has the potential to be used as a practical design procedure for complex foundation installation where the simulation needs to capture installation effects.",

keywords = "Screw piles, Discrete element method (DEM), Pile foundation, pile testing, piles & piling, geotechnical engineering, computational mechanics",

author = "Yaseen Sharif and Michael Brown and Matteo Ciantia and Alan Lutenegger and Pavan Kumar and Shantanu Patra and Sumanta Haldar",

note = "This research is a part of an EPSRC NPIF funded studentship with Roger Bullivant Limited (Grant no.617 EP/R512473/1).The work is also supported by Scheme for Promotion of Academic and Research Collaboration (SPARC) to allow collaboration between Indian Researchers and other international centres of research and teaching excellence.",

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doi = "10.1680/jgele.21.00071",

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AU - Sharif, Yaseen

AU - Brown, Michael

AU - Ciantia, Matteo

AU - Lutenegger, Alan

AU - Kumar, Pavan

AU - Patra, Shantanu

AU - Haldar, Sumanta

N1 - This research is a part of an EPSRC NPIF funded studentship with Roger Bullivant Limited (Grant no.617 EP/R512473/1).The work is also supported by Scheme for Promotion of Academic and Research Collaboration (SPARC) to allow collaboration between Indian Researchers and other international centres of research and teaching excellence.

PY - 2021/12

Y1 - 2021/12

N2 - Screw piles have been used to support a variety of structures due to their ease of installation and high axial capacity. Recently, screw piles have been proposed as an alternative foundation solution for offshore renewable structures due to their quiet or silent installation. Due to their variable geometry, design and prediction of installation requirements and its effect on in-service capacity may be challenging. In this research study, the discrete-element method (DEM) is used to numerically recreate a series of onshore field tests. The aim of the study is to investigate the ability of DEM to be used as a practical design tool for the design and deployment of screw piles. In this case study, the effect of the geometric helix pitch on the installation torque and tensile capacity of screw piles installed into sand is investigated. DEM results show that the geometric pitch of a screw pile appears to have little effect on the installation torque. The results show that DEM has the potential to be used as a practical design procedure for complex foundation installation where the simulation needs to capture installation effects.

AB - Screw piles have been used to support a variety of structures due to their ease of installation and high axial capacity. Recently, screw piles have been proposed as an alternative foundation solution for offshore renewable structures due to their quiet or silent installation. Due to their variable geometry, design and prediction of installation requirements and its effect on in-service capacity may be challenging. In this research study, the discrete-element method (DEM) is used to numerically recreate a series of onshore field tests. The aim of the study is to investigate the ability of DEM to be used as a practical design tool for the design and deployment of screw piles. In this case study, the effect of the geometric helix pitch on the installation torque and tensile capacity of screw piles installed into sand is investigated. DEM results show that the geometric pitch of a screw pile appears to have little effect on the installation torque. The results show that DEM has the potential to be used as a practical design procedure for complex foundation installation where the simulation needs to capture installation effects.

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KW - pile testing

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Using discrete-element method hindcasting of screw pile performance for practical design

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Development of Screw Anchors for Floating Marine Renewable Energy Systems Arrays Incorporating Anchor Sharing (SAFS) (Joint with University of Liege)

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Screw piles as offshore foundations : Numerical and physical modelling

External PhD examiner University of Western Australia, Pierre-Yves Guy Duverneuil: The response of helical anchors under offshore environmental loading

Public Engagement Lecture: Geotechnical modelling for the advancement of offshore renewable energy application

Invited Speaker British Geotechnical Association Annual Conference Modelling of Large Helical Piles for offshore renewable applications

Institution of Civil Engineers Geotechnical Research Medal 2023

Cite this

Using discrete-element method hindcasting of screw pile performance for practical design

Abstract

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ASJC Scopus subject areas

UN SDGs

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Fingerprint

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