AUTHOR=Chen Yonglin , Zhang Junming , Li Zefu , Zhang Huliang , Chen Jiping , Yang Weidong , Yu Tao , Liu Weiping , Li Yan TITLE=Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art JOURNAL=Frontiers in Materials VOLUME=10 YEAR=2023 URL=https://www.frontiersin.org/journals/materials/articles/10.3389/fmats.2023.1125328 DOI=10.3389/fmats.2023.1125328 ISSN=2296-8016 ABSTRACT=

As the application of lightweight fiber-reinforced composite structures reaches an unprecedented scale in industry, design technology for composite structures becomes crucial for enhancing performance, improving productivity, and reducing cost. In recent years, the rapid development of intelligent technology, such as big data, deep learning, and machine learning, has promoted the development of design technology. However, the current situation and intellectualization of the design technology is not well summarized. This paper reviews the advance in design technologies for fiber-reinforced composite structures, including prediction and optimization methods for composite properties. Then, their intellectualization development is overviewed. Finally, the development trend of intelligent design technologies and intelligent composite structures are discussed. This work can provide a reference for researchers in the related field.