Predicting Shear Strength of Cyclically Loaded Interior Beam-Column Joints Using GAs

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One of the major problems in evaluating RC structures is estimating the strength of beam-column joints under cyclic loading. This is due to the lack of a clear formula to rely on. Behavior of the cyclically loaded beam-column joints is very complex and several mechanisms control it. Furthermore, several parameters are known to have significant effect on the shear capacity of the joint namely: joint shear reinforcement, concrete compressive strength, joint aspect ratio and column axial stress. The contribution of each of these parameters noticeably varies for each of the proposed formulae in the literature. This paper aims to evaluate some of the existing joint shear capacity formulae of cyclically loaded joints per ACI and AIJ, and subsequently optimize these formulae using genetic algorithms technique (GAs). The paper also is proposing a new formula for calculating the shear capacity of cyclically loaded beam-column joints.


Concrete; Concrete beams; Genetic algorithms; Reinforced concrete; Shear (Mechanics)


Civil and Environmental Engineering | Construction Engineering and Management | Engineering | Structural Engineering


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