典型文献
Probabilistic Response and Short-Term Extreme Load Estimation of Off-shore Monopile Wind Turbine Towers by Probability Density Evolution Method
文献摘要：
A new analysis framework based on probability density evolution method(PDEM)and its Chebyshev collocation solution are introduced to predict the dynamic response and short-term extreme load of offshore wind turbine(OWT)towers subjected to random sea state.With regard to the stochastic responses,random function method is employed to generate samples of sea elevation,the probability density evolution equation(PDEE)is solved to calculate time-variant probability density functions of structural responses.For the probabilistic load estimation,a FAST model of NREL 5MW offshore turbine is established to obtain samples of bending moment at the tower base.The equivalent extreme event theory is used to construct a virtual stochastic process(VSP)to assess the short-term extreme load.The results indicate that the proposed approach can predict time-variant probability density functions of the structural responses,and shows good agreement with Monte Carlo simulations.Additionally,the predicted short-term extreme load can capture the fluctuation at the tail of the extreme value distribution,thus is more rational than results from the typical distribution models.Overall,the proposed method shows good adaptation,precision and efficiency for the dynamic response analysis and load estimation of OWT towers.
文献关键词：
中图分类号：
作者姓名：
ZHANG Hui;XU Ya-zhou
作者机构：
School of Building Services Science and Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China;School of Civil Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China
文献出处：
引用格式：
[1]ZHANG Hui;XU Ya-zhou-.Probabilistic Response and Short-Term Extreme Load Estimation of Off-shore Monopile Wind Turbine Towers by Probability Density Evolution Method)[J].中国海洋工程（英文版）,2022(03):363-371
A类：
Monopile,Towers,PDEE
B类：
Probabilistic,Response,Short,Term,Extreme,Load,Estimation,Off,Wind,Turbine,Probability,Density,Evolution,Method,new,analysis,framework,probability,density,evolution,method,PDEM,its,Chebyshev,collocation,solution,are,introduced,dynamic,short,term,extreme,load,offshore,wind,turbine,OWT,towers,subjected,random,sea,state,With,regard,stochastic,responses,employed,generate,samples,elevation,equation,solved,calculate,variant,functions,structural,For,probabilistic,estimation,FAST,NREL,5MW,established,obtain,bending,moment,equivalent,event,theory,used,construct,virtual,process,VSP,assess,results,indicate,that,proposed,approach,can,shows,good,agreement,Monte,Carlo,simulations,Additionally,predicted,capture,fluctuation,tail,value,distribution,thus,more,rational,than,from,typical,models,Overall,adaptation,precision,efficiency
AB值：
0.566138
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