Computers and Concrete

Volume 14, Number 4, 2014, pages 479-501

DOI: 10.12989/cac.2014.14.4.479

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

Antoni Cladera, Juan L. Pérez-Ordóñez and Fernando Martínez-Abella

Abstract

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 considerable simplicity, which significantly improve the shear strength prediction with respect to the formulations of the different studied codes, are proposed.

Key Words

artificial intelligence; genetic programming; reinforced concrete; shear strength; beams; stirrups; concrete codes

Address

Antoni Cladera: Department of Physics, University of the Balearic Islands, Ctra. Valldemossa km. 7.5, E-07122 Palma, Spain Juan L. Pérez-Ordóñez: School of Building Engineering and Technical Architecture, University of A Coruña, Campus de Elviña, E-15192 La Coruña, Spain Fernando Martínez-Abella: Department of Construction Technology, University of A Coruña, Campus de Elviña, E-15192 La Coruña, Spain