To investigate the influencing factors of shear strength for reinforced concrete beams without web reinforcement, 36 reinforced concrete beams were tested: 27 with a T-shaped section and 9 with a rectangular section. The experiments were designed to analyze the impact of various parameters on the shear strength behavior, including the shear span ratio, tension reinforcement ratio, and beam shape. The experimental findings indicate that each variable has a significant improvement, particularly, the contributions of the flange on the shear behavior of RC beams. Based on collected the shear database, two proposed equations were established and verified against the suggested equations in several international codes. The proposed equations herein exhibit an incredible, accurate, and consistent predictions of shear behavior of the beams. Additionally, the collected dataset was analyzed using various machine learning algorithms to explore the applicability; the results demonstrate that the modern data-driven techniques can provide an efficient and reliable prediction for the shear behavior.
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