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Use of Artificial Neural Networks to Optimize Stacking Sequence in UHMWPE Protections
The aim of the present work is to provide a methodology to evaluate the influence of stacking sequence on the ballistic performance of ultra-high molecular weight polyethylene (UHMWPE) protections. The proposed methodology is based on the combination of experimental tests, numerical modelling, and A...
Autores principales: | Peinado, Jairo, Jiao-Wang, Liu, Olmedo, Álvaro, Santiuste, Carlos |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037350/ https://www.ncbi.nlm.nih.gov/pubmed/33806021 http://dx.doi.org/10.3390/polym13071012 |
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