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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: | , , , |
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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 |