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 …

In the present work, an attempt is made to find the most suitable prediction model for
Marshall Stability and the optimistic Bitumen Content (BC) in carbon fiber reinforced asphalt …

Predicting faulting failure is useful in the optimal concrete pavement design. In this study,
artificial neural networks and the random forest method have been used to predict the …

Ultra-thin friction course (UTFC) presents excellent performance in preventative
maintenance of asphalt pavement. UTFC could be also used as the wearing course of newly …

Fracture resistance curves (R-curves) provide a robust tool for a comprehensive insight into
the crack propagation regime in engineering materials. In this paper, an extensive research …

Fracture regime of asphalt concrete is of utmost importance in the sustainable design of
optimized mixtures against low-temperature cracking. The energy dissipated in blunting the …

Due to several types of deterioration, such as rutting, fatigue cracking, and thermal cracking,
that occur in the structure of pavements, researchers have developed solutions, including …

Fracture energy and stress intensity factor are of the most prevalent criteria for determining
the fracture behavior of asphalt mixtures. In this research, the fracture performance of …

This investigation explored the influence of reclaimed asphalt pavement (RAP), glass fiber,
and rejuvenator on the fracture characteristics of hot mix asphalt (HMA) exposed to freeze …

There are two methods for determining the fracture energy (Gf) of hot mix asphalt (HMA)
composites at intermediate temperatures:(i) load–crack mouth opening displacement …