Journal
COMPUTERS AND CONCRETE
Volume 14, Issue 4, Pages 479-501Publisher
TECHNO-PRESS
DOI: 10.12989/cac.2014.14.4.479
Keywords
artificial intelligence; genetic programming; reinforced concrete; shear strength; beams; stirrups; concrete codes
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Funding
- Spanish Ministry of Science and Innovation [BIA2007-60197, BIA2010-21551]
- Ministry of Economy and Industry (Conselleria de Economia e Industria) of the Xunta de Galicia [08TMT005CT, 10TMT034E]
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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.
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