Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics
The development is presented of an analytical model for the prediction of the stochastic nonlinear wave loads on the support structure of bottom mounted and floating offshore wind turbines. Explicit expressions are derived for the time-domain nonlinear exciting forces in a seastate with significant...
Published in: | Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
American Society of Mechanical Engineers
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/128784 |
id |
ftmit:oai:dspace.mit.edu:1721.1/128784 |
---|---|
record_format |
openpolar |
spelling |
ftmit:oai:dspace.mit.edu:1721.1/128784 2023-06-11T04:07:26+02:00 Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics Sclavounos, Paul D Zhang, Yu Ma, Yu Larson, David F. H 2018-12-20T16:35:07Z application/pdf https://hdl.handle.net/1721.1/128784 unknown American Society of Mechanical Engineers http://dx.doi.org/10.1115/OMAE2017-61184 International Conference on Ocean, Offshore and Arctic Engineering 9780791857779 https://hdl.handle.net/1721.1/128784 Sclavounos, Paul D., Yu Zhang, Yu Ma, and David F. Larson. “Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics.” International Conference on Ocean, Offshore and Arctic Engineering, Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium (September 2017): OMAE2017-61184, V009T12A042 © 2017 ASME Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. ASME Article http://purl.org/eprint/type/ConferencePaper 2018 ftmit https://doi.org/10.1115/OMAE2017-61184 2023-05-29T08:52:32Z The development is presented of an analytical model for the prediction of the stochastic nonlinear wave loads on the support structure of bottom mounted and floating offshore wind turbines. Explicit expressions are derived for the time-domain nonlinear exciting forces in a seastate with significant wave height comparable to the diameter of the support structure based on the fluid impulse theory. The method is validated against experimental measurements with good agreement. The higher order moments of the nonlinear load are evaluated from simulated force records and the derivation of analytical expressions for the nonlinear load statistics for their efficient use in design is addressed. The identification of the inertia and drag coefficients of a generalized nonlinear wave load model trained against experiments using Support Vector Machine learning algorithms is discussed. Article in Journal/Newspaper Arctic DSpace@MIT (Massachusetts Institute of Technology) Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium |
institution |
Open Polar |
collection |
DSpace@MIT (Massachusetts Institute of Technology) |
op_collection_id |
ftmit |
language |
unknown |
description |
The development is presented of an analytical model for the prediction of the stochastic nonlinear wave loads on the support structure of bottom mounted and floating offshore wind turbines. Explicit expressions are derived for the time-domain nonlinear exciting forces in a seastate with significant wave height comparable to the diameter of the support structure based on the fluid impulse theory. The method is validated against experimental measurements with good agreement. The higher order moments of the nonlinear load are evaluated from simulated force records and the derivation of analytical expressions for the nonlinear load statistics for their efficient use in design is addressed. The identification of the inertia and drag coefficients of a generalized nonlinear wave load model trained against experiments using Support Vector Machine learning algorithms is discussed. |
format |
Article in Journal/Newspaper |
author |
Sclavounos, Paul D Zhang, Yu Ma, Yu Larson, David F. H |
spellingShingle |
Sclavounos, Paul D Zhang, Yu Ma, Yu Larson, David F. H Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics |
author_facet |
Sclavounos, Paul D Zhang, Yu Ma, Yu Larson, David F. H |
author_sort |
Sclavounos, Paul D |
title |
Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics |
title_short |
Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics |
title_full |
Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics |
title_fullStr |
Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics |
title_full_unstemmed |
Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics |
title_sort |
offshore wind turbine nonlinear wave loads and their statistics |
publisher |
American Society of Mechanical Engineers |
publishDate |
2018 |
url |
https://hdl.handle.net/1721.1/128784 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ASME |
op_relation |
http://dx.doi.org/10.1115/OMAE2017-61184 International Conference on Ocean, Offshore and Arctic Engineering 9780791857779 https://hdl.handle.net/1721.1/128784 Sclavounos, Paul D., Yu Zhang, Yu Ma, and David F. Larson. “Offshore Wind Turbine Nonlinear Wave Loads and Their Statistics.” International Conference on Ocean, Offshore and Arctic Engineering, Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium (September 2017): OMAE2017-61184, V009T12A042 © 2017 ASME |
op_rights |
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. |
op_doi |
https://doi.org/10.1115/OMAE2017-61184 |
container_title |
Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium |
_version_ |
1768380579736190976 |