Coupled analysis of offshore wind turbine jacket structures with pile-soil-structure interaction using FAST v8 and X-SEA

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dc.contributor.author Plodpradit, Pasin
dc.contributor.author Dinh, Duc V.
dc.contributor.author Kim, Ki-Du
dc.date.accessioned 2019-09-02T14:36:47Z
dc.date.available 2019-09-02T14:36:47Z
dc.date.issued 2019-04-19
dc.identifier.citation Plodpradit, P., Dinh, V.N. and Kim, K.D., 2019. Coupled analysis of offshore wind turbine jacket structures with pile-soil-structure interaction using FAST v8 and X-SEA. Applied Sciences, 9(8), (1633). DOI:10.3390/app9081633 en
dc.identifier.volume 9 en
dc.identifier.issued 8 en
dc.identifier.startpage 1 en
dc.identifier.endpage 15 en
dc.identifier.issn 2076-3417
dc.identifier.uri http://hdl.handle.net/10468/8435
dc.identifier.doi 10.3390/app9081633 en
dc.description.abstract The coupled analysis between a turbine in operating condition and a complex jacket support structure was formulated in this paper for the reliable evaluation of offshore wind turbine structures including pile-soil-structure interactions (PSSIs). Discussions on the theoretical and simulation aspects of the coupled analysis are presented. The dynamic coupled analysis was implemented in X-SEA program and validated with FAST v8 (fatigue, aerodynamics, structures and turbulence) developed by NREL, USA. By replacing the sub-structural module in the FAST with the component of offshore substructure in the X-SEA, the reaction forces and the turbine loads were calculated in each time step and the results from X-SEA were compared with that from FAST. It showed very good agreement with each other. A case study of a NREL 5MW offshore wind turbine on a jacket support structure was performed. Coupled dynamic analyses of offshore wind turbine and support structures with PSSI were carried out. The results showed that in the coupled analysis, the responses of the structure are significantly less than in the uncoupled analysis. The support structure considering PSSI exhibited decreased natural frequencies and more flexible responses compared to the fixed-support structure. The implemented coupled analysis including PSSI was shown to be more accurate and computationally efficient. en
dc.description.sponsorship Technology Innovation Program en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI AG en
dc.relation.uri https://www.mdpi.com/2076-3417/9/8/1633
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Offshore wind turbine en
dc.subject Jacket foundation en
dc.subject Coupled analysis en
dc.subject Soil-pile-structure interaction en
dc.subject FEM model en
dc.title Coupled analysis of offshore wind turbine jacket structures with pile-soil-structure interaction using FAST v8 and X-SEA en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Van Nguyen Dinh, MaREI Centre for Marine and Renewable Energy, University College Cork, Cork, Ireland. +353-21-490-3000 Email: nguyen.dinh@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Korea Electric Power Corporation en
dc.contributor.funder Ministry of Trade, Industry & Energy (MOTIE, Korea) en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Applied Sciences (Switzerland) en
dc.internal.IRISemailaddress nguyen.dinh@ucc.ie en
dc.identifier.articleid 1633 en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2302/IE/Marine Renewable Energy Ireland (MaREI) - The SFI Centre for Marine Renewable Energy Research/ en
dc.identifier.eissn 2076-3417


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©  2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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