A review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites

SS Sorour, CA Saleh, M Shazly - Heliyon, 2024 - cell.com
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 …

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 …

[HTML][HTML] A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites

L Wan, Y Ismail, Y Sheng, J Ye, D Yang - Composites Part C: Open Access, 2023 - Elsevier
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 …

[HTML][HTML] Effects of defects on the transverse mechanical response of unidirectional fibre-reinforced polymers: DEM simulation and deep learning prediction

X Ding, Z Gu, X Hou, M **a, Y Ismail, J Ye - Composite Structures, 2023 - Elsevier
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 …

Machine learning-based strength prediction of nano-reinforced adhesive and hybrid joints under hygrothermal conditions

S Karimi, ABM Ali, J Yu - Materials Today Communications, 2024 - Elsevier
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 …

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 …

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 …

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 …

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 …

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 …