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Featured researches published by Weifei Hu.


Engineering Optimization | 2013

Structural optimization procedure of a composite wind turbine blade for reducing both material cost and blade weight

Weifei Hu; Dohyun Park; Dong-Hoon Choi

A composite blade structure for a 2 MW horizontal axis wind turbine is optimally designed. Design requirements are simultaneously minimizing material cost and blade weight while satisfying the constraints on stress ratio, tip deflection, fatigue life and laminate layup requirements. The stress ratio and tip deflection under extreme gust loads and the fatigue life under a stochastic normal wind load are evaluated. A blade element wind load model is proposed to explain the wind pressure difference due to blade height change during rotor rotation. For fatigue life evaluation, the stress result of an implicit nonlinear dynamic analysis under a time-varying fluctuating wind is converted to the histograms of mean and amplitude of maximum stress ratio using the rainflow counting algorithm Miners rule is employed to predict the fatigue life. After integrating and automating the whole analysis procedure an evolutionary algorithm is used to solve the discrete optimization problem.


12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | 2012

Reliability Analysis of Wind Turbine Blades for Fatigue Life under Wind Load Uncertainty

Weifei Hu; Nicholas J. Gaul; Olesya I. Zhupanska

This study presents a methodology that analyzes the fatigue reliability of a composite wind turbine blade considering wind load uncertainty. To facilitate the reliability analysis of wind turbine design, the turbulent random wind field has been simulated and characterized by two random variables, 10-minute mean wind speed and 10-minute turbulence intensity factor. The well-known Weibull distribution of 10-minute mean wind speed has been validated by statistically analyzing measured wind speed data. A log-logistic distribution is first proposed to represent the distribution of 10-minute turbulence intensity factor. By using both the mean wind speed and the turbulence intensity factor, the chaotic characteristic of a random wind field can be accurately rendered. The uncertainties of parameters determining the Weibull and log-logistic distribution are further studied such that the spatiotemporal wind uncertainty can be accurately represented. A hierarchical expanded wind uncertainty representation method is proposed for reliability analysis of wind turbine blades. A comprehensive procedure, including random wind simulation, aerodynamic analysis, composite structural analysis and fatigue damage calculation has been realized to predict the fatigue life of a simulated blade model. The reliability of a 5-MW reference wind turbine blade is evaluated to investigate the effect of the spatiotemporal wind uncertainty towards fatigue life.


32nd ASME Wind Energy Symposium | 2014

A New Fatigue Analysis Procedure for Composite Wind Turbine Blades

Weifei Hu; Olesya I. Zhupanska; James Buchholz; Kyung K. Choi

A fatigue analysis procedure including random wind field simulation, aerodynamic analysis, stress analysis by finite element analysis, and fatigue damage evaluation based on tested fatigue data has been developed for large horizontal axis wind turbine blades. In order to simulate realistic wind loads applied on the blade while maintaining affordable computation time, the sectional surface pressure fields obtained from XFOIL are modified to match the lift, drag, and moment coefficients obtained using NREL’s AeroDyn. Thus the modified pressure distribution includes the effect of the dynamic stall and the wake on the turbine rotor aerodynamics. A high-fidelity finite element blade model, which could easily tailor the design of composite materials in the blade, has been parameterized for the detailed stress analyses. Constant life diagrams based on the tested fatigue data have been constructed for fatigue damage evaluation under multi-axial complex stress states of variable amplitude. Starting from the random wind field simulation, the evaluated fatigue damage is determined by two random variables, 10-minute mean wind speed and 10-minute turbulence intensity factor. Consequently, the effect of mean wind speed and atmospheric turbulence toward blade fatigue can be investigated. The proposed fatigue analysis procedure can facilitate the reliability analysis and reliability-based design optimization of composite wind turbine blades considering wind load uncertainty.


Journal of Applied Meteorology and Climatology | 2018

Wind gust characterization at wind turbine relevant heights in moderately complex terrain

Weifei Hu; F. Letson; R. J. Barthelmie; S. C. Pryor

AbstractImproved understanding of wind gusts in complex terrain is critically important to wind engineering and specifically the wind energy industry. Observational data from 3D sonic anemometers d...


Structural and Multidisciplinary Optimization | 2016

Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty

Weifei Hu; Kyung K. Choi; Hyunkyoo Cho


Structural and Multidisciplinary Optimization | 2016

Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades

Weifei Hu; Kyung K. Choi; Olesya I. Zhupanska; James Buchholz


Journal of Wind Engineering and Industrial Aerodynamics | 2018

Observed gust wind speeds in the coterminous United States, and their relationship to local and regional drivers

F. Letson; S. C. Pryor; R. J. Barthelmie; Weifei Hu


대한기계학회 춘추학술대회 | 2009

Multi-objective Structural Optimization of Composite Wind Turbine Blade

Weifei Hu; Sang-Joon Yoon; Sang-Chul Park; Donghoon Choi


international conference on fuel cell science engineering and technology fuelcell collocated with asme international conference on energy sustainability | 2017

Use of Seismic Analyses for the Wind Energy Industry

Weifei Hu; S. C. Pryor; F. Letson; R. J. Barthelmie


international conference on fuel cell science engineering and technology fuelcell collocated with asme international conference on energy sustainability | 2017

Optimization Design of Composite Wind Turbine Blades Integrating Lightning Strike Analysis

Weifei Hu; Yeqing Wang

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J. Tytell

University of California

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