The application of fibre reinforced polymer (FRP) composites has increased substantially in
recent years as a result of need for lighter and stronger materials. Currently, the reuse and/or …

This paper proposes an innovative micromechanics-based artificial neural network (ANN)
method to efficiently investigate the transverse modulus of unidirectional fibre/epoxy …

Staggered structure, where mineral crystals are arranged in a staggered manner in protein
matrix, is the most representative microstructure in biological composites. Because of the …

This study focuses on develo** a machine learning (ML) model, specifically a Bayesian-
optimized deep neural network, leveraging numerical simulation data for the prediction of …

Plain-woven composites are extensively utilized across various fields; however, it exhibits
significant shear nonlinearity, especially at high temperatures. This study aims to propose a …

Molding has been widely used to manufacture thermoset composite structures in the
aerospace and automotive industries owing to its efficiency in reducing the number of parts …

While finite element (FE) simulation has proven effective in predicting damage in fiber-
reinforced composites under mechanical loads, it still remains time-consuming and resource …

This study presents a novel methodology that integrates the Impulse Excitation Technique
(IET) and machine learning (ML) to predict local elastic properties within isolated regions of …

Knitted-fabric reinforced polymeric composites have become an important member of
modern engineering materials due to their high flexibility, high strength, lightweight and …