Abstract Machine learning models are increasingly used in many engineering fields thanks
to the widespread digital data, growing computing power, and advanced algorithms. The …

The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

This review paper presents an overview of computational methods for modelling the failure
of composite materials, with a focus on fracture modelling. The paper begins by discussing …

In this paper, an efficient method for performing minimum weight optimization of composite
laminates using artificial neural network (ANN) based surrogate models is proposed. By …

When exposed to environmental conditions, fibre-reinforced polymer (FRP) composites are
prone to material degradation. The environmental reduction factor in different structural …

Fibre composite materials (FCMs) are widely used in the aerospace, military defence, and
engineering manufacturing industries due to their high strength and high modulus …

A review on works that investigate the mechanical behaviour of variable stiffness composite
laminated panels is carried out in this paper. The review mostly focuses on buckling, failure …

Due to the limitation of measured data, the random and epistemic uncertainties must be
simultaneously handled for the reliability analysis of curvilinear aircraft stiffened panels with …

Two types of unidirectional carbon fiber reinforced plastic were fabricated using identical
carbon fibers but different matrix systems. Thermoplastic polyamide 6 and thermosetting …

This paper investigates the effects of multiple materials configurations on the buckling
performance, total mass, and manufacturing cost of an existing omega stiffened composite …