Recent years have witnessed a surge in the application of machine learning techniques for
solving hard to solve structural engineering problems. The application of machine learning …

Estimating the shear strength of a fiber-reinforced polymer (FRP)–reinforced-concrete (RC)
beam is a complex task that depends on multiple design variables. The use of FRP bars has …

The shear strength of reinforced concrete (RC) beams is critical in the design of structural
members. Developing an effective mathematical method for accurately estimating shear …

In the past, remarkable behavior evaluations were carried out on concrete beams reinforced
with FRP bars in the longitudinal direction without shear reinforcement. The aim of this study …

Despite the abundance of research works, both experimental and theoretical, conducted
since the middle of the previous century up to today, the determination of the shear stress …

Despite modern advancements in structural engineering, the behavior and design of
reinforced concrete beams in shear are still a major concern for structural engineers. In this …

The application of artificial neural networks (ANNs) to predict the ultimate shear strengths of
reinforced concrete (RC) beams with transverse reinforcements is investigated in this paper …

One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …

In this research study, the artificial neural networks approach is used to estimate the ultimate
shear capacity of reinforced concrete beams with transverse reinforcement. More …

The influence of concrete mix properties on the shear strength of slender structured concrete
beams without stirrups (SRCB-WS) is a widespread point of contention. Over the past six …