Random vibration analysis of nonlinear floating offshore wind turbine system via statistical linearization process under coupled nonlinear wave excitation
The work presented in this paper investigates the possibility of using statistical linearization approach to predict the stochastic dynamics of nonlinear floating offshore wind turbines (FOWT) system under coupled nonlinear wave excitation. OC3-Hywind Spar floating platform equipped with a 5 MW refe...
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Published in | Ocean engineering Vol. 296; p. 116894 |
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Format | Journal Article |
Language | English |
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15.03.2024
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Abstract | The work presented in this paper investigates the possibility of using statistical linearization approach to predict the stochastic dynamics of nonlinear floating offshore wind turbines (FOWT) system under coupled nonlinear wave excitation. OC3-Hywind Spar floating platform equipped with a 5 MW reference wind turbine offered by NREL is taken as the discussed FOWT of the study. A coupled nonlinear analytical model subjected to coupled irregular wave excitation is established to describe the dynamic characteristics of the FOWT, and further, the governing equation of the model is transformed into the equivalent linear one through the statistical linearization approach. The error caused in the linearization process is minimized through an iterative process. The accuracy, adaptability and efficiency of the model and the proposed method built in this paper are verified by numerical examples and comparison with other methods, such as Monte Carlo method and FAST etc. The research shows that the proposed method based on statistical linearization process to predict the stochastic dynamic response of nonlinear FOWT system under coupled nonlinear wave excitation has not only high accuracy but also high computational efficiency. It is about 4–5 orders of magnitude faster than the deterministic analysis method, and is of great significance for the design and research of the FOWT. An application example conducted in this paper indicates that this method is effective and can be used extensively, such as structural design optimization, reliability analysis, determination of the optimal parameters of vibration control and fatigue analysis of components, etc.
•Coupled nonlinear analytical model to describe the dynamic characteristics of the floating offshore wind turbine.•Consideration of both system nonlinearity and hydrodynamic nonlinearity.•Application of the statistical linearization, and determination of an equivalent linear system.•Solution of the stochastic response via frequency domain method.•A sensitivity study is performed to investigate the second-order motion under different sea conditions.•Nonlinear model shows better agreement with FAST compare to linear model, especially in extreme sea conditions. |
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AbstractList | The work presented in this paper investigates the possibility of using statistical linearization approach to predict the stochastic dynamics of nonlinear floating offshore wind turbines (FOWT) system under coupled nonlinear wave excitation. OC3-Hywind Spar floating platform equipped with a 5 MW reference wind turbine offered by NREL is taken as the discussed FOWT of the study. A coupled nonlinear analytical model subjected to coupled irregular wave excitation is established to describe the dynamic characteristics of the FOWT, and further, the governing equation of the model is transformed into the equivalent linear one through the statistical linearization approach. The error caused in the linearization process is minimized through an iterative process. The accuracy, adaptability and efficiency of the model and the proposed method built in this paper are verified by numerical examples and comparison with other methods, such as Monte Carlo method and FAST etc. The research shows that the proposed method based on statistical linearization process to predict the stochastic dynamic response of nonlinear FOWT system under coupled nonlinear wave excitation has not only high accuracy but also high computational efficiency. It is about 4–5 orders of magnitude faster than the deterministic analysis method, and is of great significance for the design and research of the FOWT. An application example conducted in this paper indicates that this method is effective and can be used extensively, such as structural design optimization, reliability analysis, determination of the optimal parameters of vibration control and fatigue analysis of components, etc.
•Coupled nonlinear analytical model to describe the dynamic characteristics of the floating offshore wind turbine.•Consideration of both system nonlinearity and hydrodynamic nonlinearity.•Application of the statistical linearization, and determination of an equivalent linear system.•Solution of the stochastic response via frequency domain method.•A sensitivity study is performed to investigate the second-order motion under different sea conditions.•Nonlinear model shows better agreement with FAST compare to linear model, especially in extreme sea conditions. |
ArticleNumber | 116894 |
Author | Li, Yifei Li, Shujin Zheng, Dacheng Han, Renjie |
Author_xml | – sequence: 1 givenname: Yifei surname: Li fullname: Li, Yifei email: 316626155@whut.edu.cn organization: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, China – sequence: 2 givenname: Shujin orcidid: 0000-0003-4785-4831 surname: Li fullname: Li, Shujin email: sjli@whut.edu.cn organization: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, China – sequence: 3 givenname: Dacheng orcidid: 0000-0003-1056-4857 surname: Zheng fullname: Zheng, Dacheng email: zhengdacheng@whut.edu.cn organization: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, China – sequence: 4 givenname: Renjie orcidid: 0000-0002-0567-8182 surname: Han fullname: Han, Renjie email: hanrenjie@tongji.edu.cn organization: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, China |
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Cites_doi | 10.1115/1.3119501 10.1016/j.engstruct.2016.09.047 10.1016/j.marstruc.2009.01.002 10.1007/s40722-021-00203-0 10.1115/1.1862253 10.1016/j.oceaneng.2022.111136 10.1016/j.oceaneng.2018.12.021 10.1016/j.oceaneng.2021.108712 10.2118/950149-G 10.1016/j.rser.2011.09.024 10.1002/we.442 10.1016/j.enpol.2012.10.032 10.1115/1.4001956 10.1007/s40722-020-00165-9 |
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Keywords | Nonlinear coupled model Floating offshore wind turbine Stochastic dynamic Coupled irregular wave Statistical linearization |
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Title | Random vibration analysis of nonlinear floating offshore wind turbine system via statistical linearization process under coupled nonlinear wave excitation |
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