Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Amir H. Gandomi and Amir H. Alavi and 
                 Sadegh Kazemi and Mostafa Gandomi",
  title =        "Formulation of shear strength of slender {RC} beams
                 using gene expression programming, part I: Without
                 shear reinforcement",
  journal =      "Automation in Construction",
  volume =       "42",
  pages =        "112--121",
  year =         "2014",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Gene
                 expression programming, Shear strength, Reinforced
                 concrete beam, Normal and high-strength concrete,
  ISSN =         "0926-5805",
  URL =          "",
  DOI =          "doi:10.1016/j.autcon.2014.02.007",
  size =         "10 pages",
  abstract =     "In this study, a new design equation is derived to
                 predict the shear strength of slender reinforced
                 concrete (RC) beams without stirrups using gene
                 expression programming (GEP). The predictor variables
                 included in the analysis are web width, effective
                 depth, concrete compressive strength, amount of
                 longitudinal reinforcement, and shear span to depth
                 ratio. A set of published database containing 1942
                 experimental test results is used to develop the model.
                 An extra set of test results which is not involved in
                 the modelling process is employed to verify the
                 applicability of the proposed model. Sensitivity and
                 parametric analyses are carried out to determine the
                 contributions of the affecting parameters. The proposed
                 model is effectively capable of estimating the ultimate
                 shear capacity of members without shear steel. The
                 results obtained by GEP are found to be more accurate
                 than those obtained using several building codes. The
                 GEP-based formula is fairly simple and useful for
                 pre-design applications.",

Genetic Programming entries for A H Gandomi A H Alavi Sadegh Kazemi Mostafa Gandomi