New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming

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@Article{Gandomi:2010:MS,
  author =       "Amir Hossein Gandomi and Amir Hossein Alavi and 
                 Mohammad Ghasem Sahab",
  title =        "New formulation for compressive strength of CFRP
                 confined concrete cylinders using linear genetic
                 programming",
  journal =      "Materials and Structures",
  year =         "2010",
  volume =       "43",
  number =       "7",
  pages =        "963--983",
  month =        aug,
  email =        "ah_alavi@hotmail.com, a.h.gandomi@gmail.com",
  keywords =     "CFRP confinement, Linear genetic programming,
                 Formulation, Concrete compressive strength",
  ISSN =         "1359-5997",
  DOI =          "doi:10.1617/s11527-009-9559-y",
  size =         "21 pages",
  abstract =     "This paper proposes a new approach for the formulation
                 of compressive strength of carbon fibre reinforced
                 plastic (CFRP) confined concrete cylinders using a
                 promising variant of genetic programming (GP) namely,
                 linear genetic programming (LGP). The LGP-based models
                 are constructed using two different sets of input data.
                 The first set of inputs comprises diameter of concrete
                 cylinder, unconfined concrete strength, tensile
                 strength of CFRP laminate and total thickness of CFRP
                 layers. The second set includes unconfined concrete
                 strength and ultimate confinement pressure which are
                 the most widely used parameters in the CFRP confinement
                 existing models. The models are developed based on
                 experimental results collected from the available
                 literature. The results demonstrate that the LGP-based
                 formulae are able to predict the ultimate compressive
                 strength of concrete cylinders with an acceptable level
                 of accuracy. The LGP results are also compared with
                 several CFRP confinement models presented in the
                 literature and found to be more accurate in nearly all
                 of the cases. Moreover, the formulas evolved by LGP are
                 quite short and simple and seem to be practical for
                 use. A subsequent parametric study is also carried out
                 and the trends of the results have been confirmed via
                 some previous laboratory studies.",
  notes =        "College of Civil Engineering, Tafresh University,
                 Tafresh, Iran",
}

Genetic Programming entries for A H Gandomi A H Alavi Mohammad Ghasem Sahab

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