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Accelerating the Layup Sequences Design of Composite Laminates via Theory-Guided Machine Learning Models
Experimental and numerical investigations are presented for a theory-guided machine learning (ML) model that combines the Hashin failure theory (HFT) and the classical lamination theory (CLT) to optimize and accelerate the design of composite laminates. A finite element simulation with the incorpora...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371008/ https://www.ncbi.nlm.nih.gov/pubmed/35956742 http://dx.doi.org/10.3390/polym14153229 |