Recent Advances in Damage of Composite Structures

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2851

Special Issue Editors


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Guest Editor
Department of Mechanical and Automobile Engineering, Kunsan National University, Gunsan 54150, Republic of Korea
Interests: composites; mechanical properties; fatigue; finite element analysis; homogenization
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Korea Testing Laboratory, System Verification and Validation Center, System & Energy Division, 87, Digital-ro-26-gil, Guro-gu, Seoul 08389, Republic of Korea
Interests: carbon nanotube; equivalent mechanical properties; finite element analysis; homogenization
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Guest Editor
Institute of Offshore Wind Energy, Kunsan National University, Gunsan, Korea
Interests: composite; mechanical properties; fatigue; finite element analysis

Special Issue Information

Dear Colleagues,

Composites are widely used in construction materials and products, such as those used in flight, space travel, automobiles, railway vehicles and ships, due to their good mechanical properties, fatigue resistance, etc. They are typical of fiber-reinforced composites, in which reinforcing fibers, such as glass fiber, carbon fiber or aramid fiber, are mixed with a matrix, such as epoxy or polyamide. It can have the desired strength, stiffness and mechanical properties depending on the fiber arrangement direction, layup, curing method and molding pressure. However, due to their non-homogeneity and anisotropy, there are various kinds of damage that they may suffer, such as matrix cracking, fiber breakage and interfacial delamination. The complex behavior of these types of damage is difficult to clearly understand at the level of the structure, and it causes a decrease in the strength and stiffness of the structure and affects the entire system; as such, research is required. In this Special Issue, we would like to introduce the latest research and technology on the damage that takes place on the structural level, considering the anisotropic properties of the composite materials.

Prof. Dr. Ki-Weon Kang
Dr. Ji-Won Jin
Dr. Yun-Jung Jang
Guest Editors

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Keywords

  • matrix cracking
  • composite material
  • composite structure
  • damage
  • fiber breakage
  • interfacial delamination

Published Papers (1 paper)

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Research

11 pages, 3000 KiB  
Article
Identification of Debonding Damage at Spar Cap-Shear Web Joints by Artificial Neural Network Using Natural Frequency Relevant Key Features of Composite Wind Turbine Blades
by Yun-Jung Jang, Hyeong-Jin Kim, Hak-Geun Kim and Ki-Weon Kang
Appl. Sci. 2021, 11(12), 5327; https://0-doi-org.brum.beds.ac.uk/10.3390/app11125327 - 08 Jun 2021
Cited by 2 | Viewed by 2435
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Recent Advances in Damage of Composite Structures)
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