Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …

Investigations of the fatigue performance of composite materials have accompanied their
introduction in several engineering domains since the 1950s. An abundance of publications …

A physics-informed neural network (PINN) is proposed for fatigue life prediction with small
amount of experimental data enhanced by physical models describing the fatigue behavior …

Aluminum Metal Matrix Composites (MMCs) sought over other conventional materials in the
field of aerospace, automotive and marine applications owing to their excellent improved …

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

In this work, fiber-reinforced composites, consisting of glass fibers with an epoxy matrix,
have been considered to assess their fatigue life under combined rotating bending loads …

Composite materials have become the major materials of light-weight structure due to their
light weight, high strength, high modulus, and strong designability. However, as the …

Adaptive neuro-fuzzy inference system (ANFIS) has been successfully used for the
modelling of fatigue behaviour of a multidirectional composite laminate. The evaluation of …

A nonlinear constant life diagram (CLD) model based on dual stress ratios (DSR) is
proposed to predict the fatigue life of three-dimensional (3D) woven composites. The out-of …

To study the fatigue behavior of composites, a large number of experimental assays for both
deterministic and probabilistic analysis are needed. Recent studies have demonstrated …