- Title
- Random Field Analysis of Laterally Loaded Monopile Foundations
- Creator
- Griffiths, D. V.; Huang, Jinsong; Fenton, Gordon A.
- Relation
- Geo-Risk 2023. Geo-Risk 2023: Developments in Reliability, Risk, and Resilience (GSP 346) (VA, Arlington 23-26 July, 2023) p. 331-340
- Publisher Link
- http://dx.doi.org/10.1061/9780784484982.034
- Publisher
- American Society of Civil Engineers (ASCE)
- Resource Type
- conference paper
- Date
- 2023
- Description
- Monopile foundation design for supporting offshore wind turbines has largely relied on classical p-y approaches originally developed for longer and more slender pile foundations. The shorter length and greater diameter of monopoles, however, has required empirical modification to the p-y approach to account for shear deformations and coupling between deflections and rotational deformations. Analysis of laterally loaded monopiles is fundamentally 3D, and recent studies have aimed to calibrate p-y springs using full 3D finite element analyses. This paper presents a preliminary study that uses a pseudo-3D approach suitable for modeling axisymmetric solids subjected to non-axisymmetric loading that is ideally suited for this type of geotechnical system. The method uses 2D finite element analysis in radial planes with circumferential variations modeled using a Fourier series. Soil property variation with depth is modeled using random fields. For risk assessment studies requiring Monte-Carlo simulations, the pseudo-3D approach offers greatly reduced computational costs compared with full 3D analysis. While the pseudo-3D approach is not new, it has not, to the authors’ knowledge, been combined with a random field description of soil properties. The results presented in this preliminary study focus on estimation of the probability of excessive lateral deformations at the submerged ground surface.
- Subject
- monopile foundation design; wind turbines; 3D modeling; axisymmetric solids; SDG 7; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1494126
- Identifier
- uon:53718
- Identifier
- ISBN:9780784484982
- Language
- eng
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