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A machine learning model for predicting the ballistic impact resistance of unidirectional fiber-reinforced composite plate
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 protective per...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985305/ https://www.ncbi.nlm.nih.gov/pubmed/33753825 http://dx.doi.org/10.1038/s41598-021-85963-3 |