Stochastic Dynamic Analysis of an Offshore Wind Turbine Structure by the Path Integration Method

Yue Zhao, Jijian Lian, Chong Lian, Xiaofeng Dong, Haijun Wang, Chunxi Liu, Qi Jiang and Pengwen Wang
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Yue Zhao: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Jijian Lian: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Chong Lian: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Xiaofeng Dong: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Haijun Wang: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Chunxi Liu: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Qi Jiang: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
Pengwen Wang: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China

Energies, 2019, vol. 12, issue 16, 1-18

Abstract: Stochastic dynamic analysis of an offshore wind turbine (OWT) structure plays an important role in the structural safety evaluation and reliability assessment of the structure. In this paper, the OWT structure is simplified as a linear single-degree-of-freedom (SDOF) system and the corresponding joint probability density function (PDF) of the dynamic response is calculated by the implementation of the path integration (PI) method. Filtered Gaussian white noise, which is obtained from the utilization of a second-order filter, is considered as horizontal wind excitation and used to excite the SDOF system. Thus, the SDOF model and the second-order linear filter model constitute a four-dimensional dynamic system. Further, a detailed three-dimensional finite element model is applied to obtain the natural frequency of the OWT and the efficient PI method, which is modified based on the fast Fourier transform (FFT) convolution method, is also utilized to reduce the execution time to obtain the PDF of the response. Two important parameters of wind conditions, i.e., horizontal mean wind speed and turbulence standard deviation, are investigated to highlight the influences on the PDF of the dynamic response and the reliability of the OWT.

Keywords: stochastic dynamic; offshore wind turbine; path integration; FFT convolution; probability distribution function (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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