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Multi-Objective Optimization of Thin-Walled Composite Axisymmetric Structures Using Neural Surrogate Models and Genetic Algorithms

Composite shells find diverse applications across industries due to their high strength-to-weight ratio and tailored properties. Optimizing parameters such as matrix-reinforcement ratio and orientation of the reinforcement is crucial for achieving the desired performance metrics. Stochastic optimiza...

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Detalles Bibliográficos
Autores principales: Miller, Bartosz, Ziemiański, Leonard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608764/
https://www.ncbi.nlm.nih.gov/pubmed/37895775
http://dx.doi.org/10.3390/ma16206794