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A review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites
Abstract The utilization of Machine Learning (ML) techniques in the analysis of the
mechanical behavior of fiber-reinforced polymers (FRP) has been increasingly applied in …
mechanical behavior of fiber-reinforced polymers (FRP) has been increasingly applied in …
Using machine learning and experimental study to correlate and predict accelerated aging with natural aging of GFRP composites in hygrothermal conditions
J Wang, S Karimi, P Zeinalzad, J Zhang… - Construction and Building …, 2024 - Elsevier
Composite materials are widely used in various applications, but their mechanical and
physical properties can be significantly influenced by environmental factors such as …
physical properties can be significantly influenced by environmental factors such as …
[HTML][HTML] A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites
The recent decades have seen various attempts at the numerical modelling of fibre-
reinforced polymer (FRP) composites in the aerospace, auto and marine sectors due to their …
reinforced polymer (FRP) composites in the aerospace, auto and marine sectors due to their …
[HTML][HTML] Effects of defects on the transverse mechanical response of unidirectional fibre-reinforced polymers: DEM simulation and deep learning prediction
The presence of defects in composite materials is hardly avoidable during the process of
materials manufacturing, which may affect the mechanical behaviour of the material. This …
materials manufacturing, which may affect the mechanical behaviour of the material. This …
Machine learning-based strength prediction of nano-reinforced adhesive and hybrid joints under hygrothermal conditions
This research focuses on the impact of adding fullerene and Single-Walled Carbon
Nanotubes (SWCNT) on the strength of bonded and bonded/bolted joints. The study …
Nanotubes (SWCNT) on the strength of bonded and bonded/bolted joints. The study …
A multi-task learning model for fast prediction of mechanical behavior of UD-CFRP composites under transverse tension
H Yan, W **e, B Gao, F Yang, S Meng - Composite Structures, 2023 - Elsevier
The weaker transverse mechanical response of unidirectional carbon fiber reinforced
polymer (UD-CFRP) composites has raised a lot of attention and research. The single-task …
polymer (UD-CFRP) composites has raised a lot of attention and research. The single-task …
Modelling nonlinear shear creep behaviour of a structural adhesive using deep neural networks (DNN)
S Wang, F Shui, T Stratford, J Su, B Li - Construction and Building Materials, 2024 - Elsevier
Structural adhesives have seen a surge in applications for bonding Fibre reinforced
polymers to strengthen structures. However, being polymeric materials, they can exhibit …
polymers to strengthen structures. However, being polymeric materials, they can exhibit …
Machine learning-based assessment of hygrothermal aging performance in CFRP-aluminum alloy adhesive bonded structures
W Mu, X Chen, S Li, J Na - The Journal of Adhesion, 2024 - Taylor & Francis
Adhesive bonding is an effective technique for connecting fiber reinforced composites
(FRPs) and plays a crucial role in determining load transfer capability and overall structural …
(FRPs) and plays a crucial role in determining load transfer capability and overall structural …
Strength prediction of nanoparticle-reinforced adhesive and hybrid joints under unaged and hygrothermal conditions using machine learning and experimental …
Y Zhang, S Karimi - Journal of Composite Materials, 2024 - journals.sagepub.com
This study investigates the effects of adding fullerene and single-walled carbon nanotubes
(SWCNT) on the strength and durability of bonded and bonded/bolted joints, specifically for …
(SWCNT) on the strength and durability of bonded and bonded/bolted joints, specifically for …
Optimization and prediction of mechanical properties of composite concrete with crumb rubber using RSM and hybrid DNN-HHO algorithm
R Anjali, G Venkatesan - Journal of Building Engineering, 2024 - Elsevier
Scrap tires can cause serious health, environmental, and aesthetic issues since they are
heavy and non-biodegradable. Due to the restrictions on recycling waste tires, using crumb …
heavy and non-biodegradable. Due to the restrictions on recycling waste tires, using crumb …