A machine learning model for predicting the ballistic impact resistance of unidirectional fiber-reinforced composite plate

Abstract It has been a vital issue to ensure both the accuracy and efficiency of computational models for analyzing the ballistic impact response of fiber-reinforced composite plates (FRCP). In this paper, a machine learning (ML) model is established in an effort to bridge the ballistic impact prote...

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Autores principales: X. D. Lei, X. Q. Wu, Z. Zhang, K. L. Xiao, Y. W. Wang, C. G. Huang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b2f73d076e954dd5aa787a3a37bacfde
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