Journal
APPLIED SCIENCES-BASEL
Volume 11, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/app11125327
Keywords
artificial neural network; composite blade; debonding damage; natural frequency relevant key features; spar cap-shear web joint debonding damage
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Funding
- Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Trade, Industry & Energy (MOTIF) of the Republic of Korea [20173010024950]
- Korea Electric Power Corporation [R20X002-29]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20173010024950] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This study investigates the impact of debonding damage on the structural integrity of wind turbine blades and analyzes the relationship between debonding damage and the natural frequencies of the blades using finite element analysis and artificial neural networks.
As the size and weight of blades increase with the recent trend toward larger wind turbines, it is important to ensure the structural integrity of the blades. For this reason, the blade consists of an upper and lower skin that receives the load directly, a shear web that supports the two skins, and a spar cap that connects the skin and the shear web. Loads generated during the operation of the wind turbine can cause debonding damage on the spar cap-shear web joints. This may change the structural stiffness of the blade and lead to a lack of integrity; therefore, it would be beneficial to be able to identify possible damage in advance. In this paper we present a model to identify debonding damage based on natural frequency. This was carried out by modeling 1105 different debonding damages, which were classified by configuration type, location, and length. After that, the natural frequencies, due to the debonding damage of the blades, were obtained through modal analysis using FE analysis. Finally, an artificial neural network was used to study the relationship between debonding damage and the natural frequencies.
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