Shear strength predicting models for steel fiber-reinforced concrete beams without stirrups: a review

Many experimental and analytical investigations have been conducted in the past to understand the shear behavior of steel fiber-reinforced concrete (SFRC) beams and the factors influencing their shear strength. Various shear strength prediction models have also been developed in the literature, based on different theories and approaches. This paper reviews major methodologies for modeling the shear strength of SFRC beams without stirrups. It highlights that many models rely on complex parameters difficult to measure experimentally, while others, such as regression and machine learning methods, use limited parameters but can yield inconsistent accuracy due to dataset variability. Consequently, there is a need for a shear strength model that relies on straightforward mechanical principles and can predict the shear strength of SFRC beams with greater accuracy, particularly for configurations and loading conditions that have not yet been tested. This review paper aims to outline a path forward and establish a framework for developing an accurate and simple model for predicting the shear strength of SFRC beams without stirrups, taking into account the advantages and disadvantages of existing models while enhancing our understanding of shear transfer mechanisms.