Shear strength of RC beams. Precision, accuracy, safety and simplicity using genetic programming

Shear strength of RC beams. Precision, accuracy, safety and simplicity using genetic programming

This paper presents the improvement of the EC-2 and EHE-08 shear strength formulations for concrete beams with shear reinforcement. The employed method is based on the genetic programming (GP) technique, which is configured to generate symbolic regression from a set of experimental data by considering the interactions among precision, accuracy, safety and simplicity. The size effect and the influence of the amount of shear reinforcement are examined. To develop and verify the models, 257 experimental tests on concrete beams from the literature are used. Three expressions of considerablesimplicity, which significantly improve the shear strength prediction with respect to the formulations of the different studied codes, are proposed.

This paper presents the improvement of the EC-2 and EHE-08 shear strength formulations for concrete beams with shear reinforcement. The employed method is based on the genetic programming (GP) technique, which is configured to generate symbolic regression from a set of experimental data by considering the interactions among precision, accuracy, safety and simplicity. The size effect and the influence of the amount of shear reinforcement are examined. To develop and verify the models, 257 experimental tests on concrete beams from the literature are used. Three expressions of considerablesimplicity, which significantly improve the shear strength prediction with respect to the formulations of the different studied codes, are proposed.