Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Amir H. Gandomi and Danial {Mohammadzadeh S.} and 
                 Juan Luis Perez-Ordonez and Amir H. Alavi",
  title =        "Linear genetic programming for shear strength
                 prediction of reinforced concrete beams without
  journal =      "Applied Soft Computing",
  year =         "2014",
  volume =       "19",
  pages =        "112--120",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Linear
                 genetic programming, Shear strength, Reinforced
                 concrete beam, Design equation",
  ISSN =         "1568-4946",
  URL =          "",
  DOI =          "doi:10.1016/j.asoc.2014.02.007",
  size =         "9 pages",
  abstract =     "Highlights

                 We have introduced LGP algorithm for shear capacity
                 modelling of RC beams without stirrups. An extensive
                 experimental database including 1938 test results
                 gathered from literature. A simplified LGP based
                 formula is obtained for different kinds of concrete.
                 Our results are better than the nine different code

                 A new design equation is proposed for the prediction of
                 shear strength of reinforced concrete (RC) beams
                 without stirrups using an innovative linear genetic
                 programming methodology. The shear strength was
                 formulated in terms of several effective parameters
                 such as shear span to depth ratio, concrete cylinder
                 strength at date of testing, amount of longitudinal
                 reinforcement, lever arm, and maximum specified size of
                 coarse aggregate. A comprehensive database containing
                 1938 experimental test results for the RC beams was
                 gathered from the literature to develop the model. The
                 performance and validity of the model were further
                 tested using several criteria. An efficient strategy
                 was considered to guarantee the generalisation of the
                 proposed design equation. For more verification,
                 sensitivity and parametric analysis were conducted. The
                 results indicate that the derived model is an effective
                 tool for the estimation of the shear capacity of
                 members without stirrups (R = 0.921). The prediction
                 performance of the proposed model was found to be
                 better than that of several existing buildings codes.",

Genetic Programming entries for A H Gandomi D Mohammadzadeh Shadmehri Juan Luis Perez A H Alavi