Machine learning prediction of mechanical properties of braided-textile reinforced tubular structures

Wenhao Wang; He Wang; Jiannan Zhou; Hualin Fan; Xiao Liu

doi:10.1016/j.matdes.2021.110181

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Machine learning prediction of mechanical properties of braided-textile reinforced tubular structures

Wenhao Wang He Wang Jiannan Zhou Hualin Fan Xiao Liu

Year: 2021 Journal: Materials & Design Vol: 212 Pages: 110181-110181 Publisher: Elsevier BV

DOI: 10.1016/j.matdes.2021.110181

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Keywords:

Materials science Composite material Artificial neural network Compression (physics) Convergence (economics) Composite number Textile Structural engineering Computer science Artificial intelligence Engineering

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Mechanical Behavior of Composites

Physical Sciences → Engineering → Mechanics of Materials

Cellular and Composite Structures

Physical Sciences → Engineering → Mechanical Engineering

Natural Fiber Reinforced Composites

Physical Sciences → Materials Science → Polymers and Plastics

Machine learning prediction of mechanical properties of braided-textile reinforced tubular structures

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