scholarly journals Efficient incorporation of fatigue damage constraints in wind turbine blade optimization

Wind Energy ◽  
2020 ◽  
Vol 23 (4) ◽  
pp. 1063-1076
Author(s):  
Bryce Ingersoll ◽  
Andrew Ning
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Fatigue Damage ◽  
Wind Turbine Blade ◽  
Blade Optimization

High-order redesign method for wind turbine blade optimization in model test considering aerodynamic similarity

2020 ◽  
Vol 202 ◽  
pp. 107156
Author(s):  
Zhe Chen ◽  
Yanping He ◽  
Yongsheng Zhao ◽  
Long Meng ◽  
Chong He ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Model Test ◽  
High Order ◽  
Wind Turbine Blade ◽  
Blade Optimization

Proposal for a coupled aerodynamic–structural wind turbine blade optimization

2017 ◽  
Vol 159 ◽  
pp. 144-156 ◽  
Author(s):  
Andrea Dal Monte ◽  
Stefano De Betta ◽  
Marco Raciti Castelli ◽  
Ernesto Benini
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Blade Optimization

Fatigue Analysis of an Innovative Extensible Wind Turbine Blade

2016 ◽  
Author(s):  
Jiale Li ◽  
Xiong (Bill) Yu
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Fatigue Damage ◽  
Wind Turbine Blade ◽  
Time Interval ◽  
Data Set ◽  
Low Wind Speed ◽  
Wind Turbine Tower ◽  
Utility Scale

This paper describes the feasibility analyses of an innovative, extensible ‘smart’ blade technology aims to significantly improve the wind turbine energy production. This innovative ‘smart’ blade will be extended at low wind speed to harvest more wind energy. It will be retracted to its original shape above rated wind speed, to protect the blade from possible damages under high wind speed. The extended blade, however, will inevitably increase the fatigue damage of the wind turbine blade of which fatigue demand, which often controls the design requirement of wind turbine blade. A rain-flow counting method is used for calculating stress range cycles during turbine blade operation. The analyzes model in the research is built based on a 100 kW utility-scale wind turbine installed on the campus of Case Western Reserve University with a data acquisition system installed on the wind turbine tower to monitor the operation data continuously over the years. In this analyses, the data set consists of four years’ wind speed data at 10-minutes time interval and blade rotational speed from March 2014 to February 2015 have been used. The results show that the fatigue damage of this extensible blade increased is acceptable considering its increased power output.

Life prediction of wind turbine blades using multi-scale damage model

2021 ◽  
pp. 073168442199588
Author(s):  
Sepideh Aghajani ◽  
Mohammadreza Hemati ◽  
Shams Torabnia
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Fatigue Damage ◽  
Life Prediction ◽  
Turbine Blades ◽  
Damage Model ◽  
Fatigue Loading ◽  
Multiaxial Fatigue ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades

Wind turbine blade life prediction is the most important parameter to estimate the power generation cost. Due to the price and importance of wind blade, many experimental and theoretical methods were developed to estimate damages and blade life. A novel multiaxial fatigue damage model is suggested for the life prediction of a wind turbine blade. Fatigue reduction of fiber and interfiber characteristics are separately treated and simulated in this research. Damage behavior is considered in lamina level and then extended to laminate; hence, this model can be used for multidirectional laminated composites. The procedure of fatigue-induced degradation is implemented in an ABAQUS user material subroutine. By applying the fatigue damage model, life is estimated by the satisfaction of lamina fracture criteria. This model provides a comprehensive idea about how damage happens in wind blades regarding a multi-axis fatigue loading condition.

The Effect of Load Phase Angle on Wind Turbine Blade Fatigue Damage

2004 ◽  
Vol 126 (4) ◽  
pp. 1050-1059 ◽  
Author(s):  
Darris L. White ◽  
Walt D. Musial
Keyword(s):  
Finite Element ◽  
Wind Turbine ◽  
Fatigue Test ◽  
Turbine Blade ◽  
Fatigue Damage ◽  
Phase Angle ◽  
Damage Accumulation ◽  
Wind Turbine Blade ◽  
Variable Phase ◽  
Phase Angles

This paper examines the importance of load phase angle variations on fatigue damage and evaluates the potential effects of varying the load phase angle during dual-axis constant amplitude fatigue testing. The scope of this paper is limited to results from simulated wind and dynamic loads. The operating loads on a generic three bladed up-wind 1.5 MW wind turbine blade were analyzed over a range of operating conditions, and an aggregate probability distribution for the actual phase angles between the peak in-plane (lead-lag) and peak out-of-plane (flap) loads was determined. Using a finite element model (FEM) of the 1.5 MW blade and Miner’s Rule [Miner, A., 1945, “Cumulative Damage in Fatigue,” Trans. ASME, 67], the accumulated theoretical fatigue damage (based on axial strains) resulting from a fatigue test with variable phase angles using the aggregate distribution was compared to the damage resulting from a fatigue test with a constant phase angle. The FEM nodal damage distribution at specific blade cross sections were compared for the constant and variable phase angle cases. Single-node stress concentrations were distributed arbitrarily around one cross section to simulate material defects in a blade undergoing testing. Results show that the variable phase angle case results in higher damage on the critical nodes. In addition, the probability of discovering a material defect during a test was substantially increased when variable phase loading was used. The effect of phase angle sequence on the damage accumulation was also considered. For this analysis, the finite element results were processed using a nonlinear damage accumulation model. Results show that the sequence of the phase angle can have a large effect on the fatigue damage, and multiple, shorter length sequences produce higher damage than a single, long term sequence.

scholarly journals A hybrid multi-objective evolutionary algorithm for wind-turbine blade optimization

2014 ◽  
Vol 47 (8) ◽  
pp. 1043-1062 ◽  
Author(s):  
M. Sessarego ◽  
K.R. Dixon ◽  
D.E. Rival ◽  
D.H. Wood
Keyword(s):  
Wind Turbine ◽  
Evolutionary Algorithm ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Multi Objective ◽  
Blade Optimization
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