Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art

Autor: Yonglin Chen, Junming Zhang, Zefu Li, Huliang Zhang, Jiping Chen, Weidong Yang, Tao Yu, Weiping Liu, Yan Li
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Materials, Vol 10 (2023)
Druh dokumentu: article
ISSN: 2296-8016
DOI: 10.3389/fmats.2023.1125328
Popis: 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.
Databáze: Directory of Open Access Journals