Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Perez20103452,

• author = "Juan L. Perez and Antoni Cladera and Juan R. Rabunal and Fernando Martinez Abella",
• title = "Optimal adjustment of {EC-2} shear formulation for concrete elements without web reinforcement using Genetic Programming",
• journal = "Engineering Structures",
• volume = "32",
• number = "11",
• pages = "3452--3466",
• year = "2010",
• ISSN = "0141-0296",
• DOI = "doi:10.1016/j.engstruct.2010.07.006",
• URL = "http://www.sciencedirect.com/science/article/B6V2Y-50TYH2X-1/2/715d665c31d9157a5e00ad7e43279a8e",
• keywords = "genetic algorithms, genetic programming, Beam, Concrete, Code of practice, Shear strength",
• abstract = "This paper presents the improvement of the EC-2 shear strength formulation for concrete beams without shear reinforcement. The method used is based on the modification of the Genetic Programming (GP) technique configured to generate symbolic regression from a set of experimental data. Starting from the EC-2 formulation, several points of the equation are subject to optimisation, together with the set of restrictions that must be fulfilled, achieving in this way to control and direct the searching process. It is specifically pursued to improve the term of size effect, the influence of the amount longitudinal reinforcement and the bending-moment-shear-force interaction. For the development and checking of the models it has been used in about 1200 experimental tests on concrete beams from the literature. The four expressions obtained are analysed in depth through GP and, finally, three expressions of great simplicity are proposed that improve, significantly, the shear strength prediction with respect to the proposals of the Eurocode 2 and ACI 318-05 Code.",

}

Genetic Programming entries for Juan Luis Perez Antoni Cladera Bohigas Juan Ramon Rabunal Dopico Fernando Martinez Abella

Citations