Bayton, S.M., Black, J.A. orcid.org/0000-0002-3529-6708 and Klinkvort, R.T. (2018) Centrifuge modelling of long term cyclic lateral loading on monopiles. In: McNamara, A., Divall, S., Goodey, R., Taylor, N., Stallebrass, S. and Panchal, J., (eds.) Physical Modelling in Geotechnics. 9th International Conference on Physical Modelling in Geotechnics, 17-20 Jul 2018, London, UK. Taylor & Francis Group , London , pp. 689-694. ISBN 978-1-138-34419-8
Abstract
A series of centrifuge cyclic monopile lateral loading experiments in dry sand are presented. Model foundation tests were performed at 100 gravities (100g) of a prototype pile 5 m in diameter with an embedment depth of L/D = 5. Observations indicate that permanent rotational failure criteria (θ at mudline equal to 0.25°) may not be reached for load magnitudes 40% or less of the monotonic failure load for 107 cycles. A cyclic degradation model for monopile rotation accumulation is also presented. Results from the cyclic tests are used to plot contour lines of predicted rotations based on load magnitude and number of cycles applied. This model is then used to predict cyclic rotational accumulation of a load magnitude ramp test and appears to perform well.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 Taylor & Francis Group. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/J013714/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/K040316/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Aug 2018 11:14 |
Last Modified: | 06 Aug 2018 11:29 |
Published Version: | https://www.taylorfrancis.com/books/e/978042979768... |
Status: | Published |
Publisher: | Taylor & Francis Group |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133658 |