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

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.

[1]  R. Khas'minskii A Limit Theorem for the Solutions of Differential Equations with Random Right-Hand Sides , 1966 .

[2]  Mark J. Kaiser,et al.  A comparison of offshore wind power development in europe and the U.S.: Patterns and drivers of development , 2009 .

[3]  Nicholas A Alexander,et al.  Dynamic design considerations for offshore wind turbine jackets supported on multiple foundations , 2019, Marine Structures.

[4]  A. Kaynia Seismic considerations in design of offshore wind turbines , 2019, Soil Dynamics and Earthquake Engineering.

[5]  Piotr Michalak,et al.  Wind energy development in the world, Europe and Poland from 1995 to 2009; current status and future perspectives , 2011 .

[6]  Panagiotis Alevras,et al.  GPU computing for accelerating the numerical Path Integration approach , 2016 .

[7]  Józef Flizikowski,et al.  Life Cycle Analysis of Ecological Impacts of an Offshore and a Land-Based Wind Power Plant , 2019, Applied Sciences.

[8]  Michael Muskulus,et al.  Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review , 2019, Applied Sciences.

[9]  Sumanta Haldar,et al.  Dynamic analysis of offshore wind turbine in clay considering soil–monopile–tower interaction , 2014 .

[10]  Katya Feder,et al.  Exposure to wind turbine noise: Perceptual responses and reported health effects. , 2016, The Journal of the Acoustical Society of America.

[11]  Edwin Kreuzer,et al.  Probabilistic approach to large amplitude ship rolling in random seas , 2011 .

[12]  Martin J. Mohlenkamp,et al.  Algorithms for Numerical Analysis in High Dimensions , 2005, SIAM J. Sci. Comput..

[13]  Bernt J. Leira,et al.  Filter models for prediction of stochastic ship roll response , 2015 .

[14]  Subhamoy Bhattacharya,et al.  Design of monopiles for offshore wind turbines in 10 steps , 2017 .

[15]  Subhamoy Bhattacharya,et al.  Dynamic soil–structure interaction of monopile supported wind turbines in cohesive soil , 2013 .

[16]  Mrinal Kumar,et al.  Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation , 2014, Comput. Math. Appl..

[17]  A. Naess,et al.  Response probability density functions of strongly non-linear systems by the path integration method , 2006 .

[18]  C. Guedes Soares,et al.  Fatigue damage assessment of fixed offshore wind turbine tripod support structures , 2015 .

[19]  Panagiotis Alevras,et al.  Stochastic Dynamics of a Parametrically base Excited Rotating Pendulum , 2013 .

[20]  Gaetano Licitra,et al.  Analytical assessment of wind turbine noise impact at receiver by means of residual noise determination without the wind farm shutdown , 2017 .

[21]  A. Naess,et al.  Response statistics of nonlinear, compliant offshore structures by the path integral solution method , 1993 .

[22]  M Feyzollahzadeh,et al.  Wind load response of offshore wind turbine towers with fixed monopile platform , 2016 .

[23]  Ki-Yong Oh,et al.  Evolution of the dynamic response and its effects on the serviceability of offshore wind turbines with stochastic loads and soil degradation , 2019, Reliab. Eng. Syst. Saf..

[24]  H. Zhu,et al.  Probabilistic solution of non-linear random ship roll motion by path integration , 2016 .

[25]  S. Narayanan,et al.  Numerical solutions of Fokker–Planck equation of nonlinear systems subjected to random and harmonic excitations , 2012 .

[26]  L. Hong,et al.  Offshore wind energy potential in China: Under technical, spatial and economic constraints , 2011 .

[27]  Lars Vabbersgaard Andersen,et al.  Dynamic response sensitivity of an offshore wind turbine for varying subsoil conditions , 2015 .

[28]  Vicente Negro,et al.  Why offshore wind energy , 2011 .

[29]  B. Spencer,et al.  On the numerical solution of the Fokker-Planck equation for nonlinear stochastic systems , 1993 .

[30]  Subhamoy Bhattacharya,et al.  Challenges in Design of Foundations for Offshore Wind Turbines , 2014 .

[31]  G. Licitra,et al.  A procedure for deriving wind turbine noise limits by taking into account annoyance. , 2019, The Science of the total environment.

[32]  Xiangwu Zeng,et al.  A review on recent advancements of substructures for offshore wind turbines , 2018 .

[33]  Mircea Grigoriu,et al.  Response of stochastic dynamical systems driven by additive Gaussian and Poisson white noise : Solution of a forward generalized Kolmogorov equation by a spectral finite difference method , 1999 .

[34]  Sumanta Haldar,et al.  Design of monopile supported offshore wind turbine in clay considering dynamic soil–structure-interaction , 2015 .

[35]  S. H. Crandall Perturbation Techniques for Random Vibration of Nonlinear Systems , 1963 .

[36]  Noor A. Ahmed,et al.  The challenges and possible solutions of horizontal axis wind turbines as a clean energy solution for the future , 2014 .

[37]  Chengxi Li,et al.  Numerical Investigation of a HybridWave AbsorptionMethod in 3D NumericalWave Tank , 2015 .

[38]  Panagiotis Alevras,et al.  Control and dynamics of a SDOF system with piecewise linear stiffness and combined external excitations , 2014 .