One of the main advantages of polymer concrete (PC) composites compared to ordinary
cement concretes is having much higher fracture toughness and fracture energy. In this …

The shear strength of discontinuities with different joint wall compressive strength (DDJCS)
is an important mechanical property. In this paper, the prediction of shear strength of DDJCS …

The current study is an attempt to investigate the usefulness of a deep learning-based
method, backpropagation deep neural network (DNN) for the prediction of the mechanical …

Recently, polymer concrete (PC) has been widely used in many civil engineering
applications. PC shows superiority in major physical, mechanical, and fracture properties …

This study explores the enhanced performance and sustainability of polymer enhanced
concrete, focusing on polymer concrete (PC) by incorporating synthetic polymers, including …

In this paper, the geometry factors of mode I and mode II (YI and YII) and the normalized T‐
stress (T*) of the centrally cracked Brazilian disk specimen are predicted using a deep …

Scrap tires can cause serious health, environmental, and aesthetic issues since they are
heavy and non-biodegradable. Due to the restrictions on recycling waste tires, using crumb …

A deep learning (DL) approach is implemented to determine the dimensionless stress
intensity factors of mode‐I (YI) and mode‐III (YIII), as well as the normalized T‐stress (T*) of …

Time history analysis is considered as one of the most commonly used methods to evaluate
the seismic performance of structures. But it is time-consuming for the computation cases …

Employing the laser ultrasonic system, information on fatigue evolution can be captured and
explicitly stored in the frequency‐wavenumber wavefield of the guided wave. This paper …