This article deals with the study of predicting the confinement effect of carbon fiber reinforced
polymers (CFRPs) on concrete cylinder strength using metaheuristics-based artificial neural …

Reinforced concrete corbels were examined in this study for the cracking behavior and
strength evaluation, focusing on defects typically found in these structures. A total of 11 …

Extensive research on fiber-reinforced polymer (FRP) composites has led to the
presumption that this material is an effective solution for repairing and strengthening the …

This study proposes a method to repair fire-damaged concrete beams using strain-
hardening cementitious composite (SHCC) and investigates their flexural behavior through …

Researchers have conducted numerous investigations on various repair techniques to
restore the mechanical properties of fire-damaged concrete. However, most of the …

This paper presents experimental results of structural performance and dynamic
characteristics of fire-damaged reinforced concrete (RC) T-beams subsequently repaired …

This study developed a size-dependent model to predict the flexural strength of 3D printed
engineered cementitious composites (ECC) beams with different beam spans. The …

The accurate prediction of residual compressive strength (RCS) of concrete plays a critical
role in assessing concrete constructions' safety and structural integrity following exposure to …

The change in the dynamic behaviour of reinforced concrete (RC) structures after the fire
events is still an unsolved issue for research communities and regulatory authorities. To fill …

This study examines the vital role of artificial neural networks (ANNs) in predicting and
optimizing carbon fiber-reinforced polymer (CFRP) reinforced concrete structures. ANNs …