Articles | Volume 5, issue 2
Wind Energ. Sci., 5, 591–599, 2020

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 591–599, 2020

Research article 26 May 2020

Research article | 26 May 2020

Development and feasibility study of segment blade test methodology

Kwangtae Ha et al.

Related authors

Model updating of a wind turbine blade finite element Timoshenko beam model with invertible neural networks
Pablo Noever-Castelos, David Melcher, and Claudio Balzani
Wind Energ. Sci., 7, 623–645,,, 2022
Short summary
A novel rotor blade fatigue test setup with elliptical biaxial resonant excitation
David Melcher, Moritz Bätge, and Sebastian Neßlinger
Wind Energ. Sci., 5, 675–684,,, 2020
Short summary

Related subject area

Design methods, reliability and uncertainty modelling
Influence of wind turbine design parameters on linearized physics-based models in OpenFAST
Jason M. Jonkman, Emmanuel S. P. Branlard, and John P. Jasa
Wind Energ. Sci., 7, 559–571,,, 2022
Short summary
Input torque measurements for wind turbine gearboxes using fiber-optic strain sensors
Unai Gutierrez Santiago, Alfredo Fernández Sisón, Henk Polinder, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 505–521,,, 2022
Short summary
A model to calculate fatigue damage caused by partial waking during wind farm optimization
Andrew P. J. Stanley, Jennifer King, Christopher Bay, and Andrew Ning
Wind Energ. Sci., 7, 433–454,,, 2022
Short summary
A fully integrated optimization framework for designing a complex geometry offshore wind turbine spar-type floating support structure
Mareike Leimeister, Maurizio Collu, and Athanasios Kolios
Wind Energ. Sci., 7, 259–281,,, 2022
Short summary
Land-based wind turbines with flexible rail-transportable blades – Part 2: 3D finite element design optimization of the rotor blades
Ernesto Camarena, Evan Anderson, Josh Paquette, Pietro Bortolotti, Roland Feil, and Nick Johnson
Wind Energ. Sci., 7, 19–35,,, 2022
Short summary

Cited articles

Al-Khudairi, Othman, Hadavinia, H., Little, C., Gillmore G., Greaves, P., and Dyer, K.: Full-Scale Fatigue Testing of a Wind Turbine Blade in Flapwise Direction and Examining the Effect of Crack Propagation on the Blade Performance, MDPI, Materials, 10, 1152,, 2017.  
ANSYS Inc.: ANSYS Workbench 18.1, Release18.1, available at: (last access: 15 October 2019), 2018. 
Brondsted, P. and Nijssen, R. P.: Advances in wind turbine blade design and materials, Woodhead Publishing Series in Energy, UK, 2013. 
DNV-GL: DNVGL-ST-0376 – Rotor Blades for Wind Turbines, DNV GL, December 2015. 
Fraunhofer IEE: Windenergie Report Deutschland 2017, Fraunhofer Verlag, Kassel, Germany, 2017. 
Short summary
This paper outlines a novel segment test methodology for wind turbine rotor blades. It mainly aims at improving the efficiency of the fatigue test as a future test method at Fraunhofer IWES. The numerical simulation reveals that this method has a significant time savings of up to 43 % and 52 % for 60 and 90 m blades, while improving test quality within an acceptable range of overload. This test methodology could be a technical solution for future offshore rotor blades longer than 100 m.