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Single Parameter Sensitivity Analysis of Ply Parameters on Structural Performance of Wind Turbine Blade

Lanting Zhang, Laifu Guo, Qiang Rong*

School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China

* Corresponding Author: Qiang Rong. Email: email

Energy Engineering 2020, 117(4), 195-207. https://doi.org/10.32604/EE.2020.010617

Abstract

The various ply parameters of composite wind turbine blade have crucial influence, of respectively varying degree, on the static strength and stiffness of the blade, elements closely related to its performance. In this article, the method of the single-parameter sensitivity analysis is presented. A 1.5 MW wind turbine blade is considered as the study object, where the load of the blade is calculated and the respective finite element model is established. According to engineering practice, the investigation range of ply parameters is determined, and the test design scheme of ply parameter for the blade is constructed. The Tsai-Wu failure factor and the maximum displacement for various ply parameters combinations are calculated, and the empirical mathematical models between blade performance and ply parameters are established using polynomial regression analysis method. Furthermore, the sensitivity functions between ply angle, biaxial ply thickness ratio and the blade’s static strength and stiffness are established using the singleparameter sensitivity method, and the sensitivity of key parameters on the blade performance is investigated. Finally, the authors provide the changing rule of ply parameter to blade performance and the optimized value for ply angle and biaxial fabric ply thickness ratio. These calculations constitute the method and technology support for the design and optimization of the blade ply structure.

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Cite This Article

Zhang, L., Guo, L., Rong, Q. (2020). Single Parameter Sensitivity Analysis of Ply Parameters on Structural Performance of Wind Turbine Blade. Energy Engineering, 117(4), 195–207.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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