Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Dynamic response sensitivity of an offshore wind turbine for multiple load condition

Authors
Youliang Cheng, Zhanpu Xue, Yuekun Wang, Ning Zhang
Corresponding Author
Youliang Cheng
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.2How to use a DOI?
Keywords
Response, Multiple load, offshore wind turbine, Dynamics
Abstract
In this paper, a comprehensive study is performed on the dynamic response of an offshore wind turbine for multiple load condition. The aim is to evaluate to what extent the multiple loading affects the wind turbine for running. Based on consistent flexible multi-body models calibrated to multiple loading functions of a monopole embedded in a linear viscoelastic soil layer, fully coupled aero-hydro-elastic simulations are conducted in the nonlinear multi-body code. Correlation of wind speeds and waves is derived on basis of wind–wave scatter diagrams from China south sea. Changes of the multiple loading, the response of an offshore wind turbine are shown to be critical for the fatigue damage equivalent moment that may change with more than 20% for parked wind turbine conditions.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Youliang Cheng
AU  - Zhanpu Xue
AU  - Yuekun Wang
AU  - Ning Zhang
PY  - 2016/07
DA  - 2016/07
TI  - Dynamic response sensitivity of an offshore wind turbine for multiple load condition
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.2
DO  - https://doi.org/10.2991/iccia-17.2017.2
ID  - Cheng2016/07
ER  -