Cargando…
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: | Liao, Zhenhao, Qiu, Cheng, Yang, Jun, Yang, Jinglei, Yang, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
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 |
Ejemplares similares
-
Layup Configuration Effect on Notch Residual Strength in Composite Laminates
por: Santhanakrishnan Balakrishnan, Venkateswaran, et al.
Publicado: (2018) -
Buckling Analysis of Laminated Plates with Asymmetric Layup by Approximation Method
por: Falkowicz, Katarzyna, et al.
Publicado: (2023) -
Enhancing Impact Energy Absorption, Flexural and Crash Performance Properties of Automotive Composite Laminates by Adjusting the Stacking Sequences Layup
por: Alshahrani, Hassan, et al.
Publicado: (2021) -
A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation
por: Si, Weiyong, et al.
Publicado: (2022) -
Effect of Thermal Exposure on Residual Properties of Wet Layup Carbon Fiber Reinforced Epoxy Composites
por: Hong, SoonKook, et al.
Publicado: (2022)