An empirical model for shear capacity of RC deep beams using genetic-simulated annealing

This paper presents an empirical model to predict the shear strength of RC deep beams. A hybrid search algorithm coupling genetic programming (GP) and simulated annealing (SA), called genetic simulated annealing (GSA), was utilized to develop mathematical relationship between the experimental data. Using this algorithm, a constitutive relationship was obtained to make pertinent the shear strength of deep beams to nine mechanical and geometrical parameters. The model was developed using an experimental database acquired from the literature. The results indicate that the proposed empirical model is properly capable of evaluating the shear strength of deep beams. The validity of the proposed model was examined by comparing its results with those obtained from American Concrete Institute (ACI) and Canadian Standard Association (CSA) codes. The derived equation is notably simple and includes several effective parameters.

► We have introduced GSA algorithm for shear capacity modeling of RC deep beams.
► The algorithm is applied to experimental databases obtained from the literature.
► A simplified formula is obtained for different kinds of concrete.
► Our results are better than the ACI and CSA models.