American Journal of Innovative Research & Applied Sciences
ABSTRACT Background: Shear failure of reinforced concrete members is considered one of the major problems that may cause a structure to fail suddenly, without warning. the main variables affecting the shear strength of reinforced concrete beams without web reinforcement are, concrete compressive strength, effective depth of the beam , longitudinal reinforcement steelratio ,Shear span to depth ratio. Most of the existing models to predict the shear strength of the concrete were experimentallyderived from a regression analysis of test data, and each model has different limits and variables. Objectives: The object of this study is to propose a model for predicting the ultimate shear strength of reinforced concrete beams without web reinforcement, which takes into account the main variables () and agrees appropriately with the experimental results available in the literature. Methods: the influence of the main variables affecting the shear strength was estimated through the statistical evaluation of 168 experimental results of reinforced concrete beams without web reinforcement collected from the literature. The database of experimental results of the tested beams covered a wide range of the studied variables. Based on the experimental database and using statistical evaluation, the proposed model was compared to other available models. Conclusions: the study showed that the proposed model accurately considers the influence of the main variables affecting the shear strength of reinforced concrete beams without web reinforcement, and predicts the shear strength more accurately than other studied models. Keywords: reinforced Concrete beam, shear strength, Shear spantodepth ratio, statistical Analysis.
