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:1.3872

@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