The current research demonstrates the application of artificial neural network (ANN) in
predicting the fracture under mixed-mode I/II loadings. To this end, based on the analysis of …

Geometry and loading condition of cracked specimens may affect the fracture toughness
results and hence the evaluation of differences in measured fracture toughness values is …

Fatigue behaviour of concrete materials is often investigated on un-notched specimens
under the compressive or bending loads. In this experimental study, a notched three-point …

In this paper, the fracture process zone (FPZ) of high-performance concrete (HPC) is
investigated under mixed-mode I/II load conditions, and its formation is studied by applying …

The relationship between mix design and fracture properties of ground granulated blast
furnace slag (GGBFS) concrete is complex and influenced by many factors, such as mixture …

Engineered cementitious composites (ECC) is a potential reinforcement and repair material
for hydraulic structures due to its excellent mechanical properties. However, the fracture …

The cracks' coalescence mechanism of three non-persistent joints in a rock sample was
investigated under uniaxial compressive loading, considering the effects of crack lengths …

To simulate the real distribution of pressure on the specimen in the Brazilian test, non-
uniform distribution is assumed to be the form of pressure distribution on the disk. The …

Artificial intelligence plays a huge role in solving engineering problems. In the fracture
mechanics field, artificial intelligence is used to predict fracture behavior or parameters …

Mixed mode fracture behaviors of TC4 titanium alloy are studied by finite element method,
testing and theoretical analysis systematically. Results show that there exists II-III coupling …