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 …
Predicting delamination in composite laminates through semi-analytical dynamic analysis and vibration-based quantitative assessment
Delamination is a frequent failure mode of laminated fiber-reinforced polymer (FRP)
composites structure in aeronautical and other industries, leading to changes in vibration …
composites structure in aeronautical and other industries, leading to changes in vibration …
Nonlinear modal responses of damaged shell structures: numerical prediction and experimental validation
The nonlinear finite element (FE) modeling approach has been adopted to model and
predict the modal responses of the combined damaged (crack and delamination) layered …
predict the modal responses of the combined damaged (crack and delamination) layered …