Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming

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@Article{Saridemir2011,
  author =       "Mustafa Saridemir",
  title =        "Empirical modeling of splitting tensile strength from
                 cylinder compressive strength of concrete by genetic
                 programming",
  journal =      "Expert Systems with Applications",
  year =         "2011",
  volume =       "38",
  number =       "11",
  pages =        "14257--14268",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2011.04.239",
  URL =          "http://www.sciencedirect.com/science/article/B6V03-52SBMC3-12/2/8a0a7f9c46f4df0267c921c80fd0bd56",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Compressive strength, Splitting
                 tensile strength",
  size =         "12 pages",
  abstract =     "Compressive strength and splitting tensile strength
                 are both mechanical properties of concrete that are
                 used in structural design. This study presents gene
                 expression programming (GEP) as a new tool for the
                 formulations of splitting tensile strength from
                 compressive strength of concrete. For purpose of
                 building the GEP-based formulations, 536 experimental
                 data have been gathered from existing literature. The
                 GEP-based formulations are developed for splitting
                 tensile strength of concrete as a function of age of
                 specimen and cylinder compressive strength. In
                 experimental parts of this study, cylindrical specimens
                 of 150 times 300 mm and 100 times 200 mm in dimensions
                 were used. Training and testing sets of the GEP-based
                 formulations were randomly separated from the complete
                 experimental data. The GEP-based formulations were also
                 validated with additional 173 data of experimental
                 results other than the data used in training and
                 testing sets of the GEP-based formulations. All of the
                 results obtained from the GEP-based formulations were
                 compared with the results obtained from experimental
                 data, the developed regression-based formulation and
                 formulas given by some national building codes. These
                 comparisons showed that the GEP-based formulations
                 appeared to well agree with the experimental data and
                 found to be quite reliable.",
}

Genetic Programming entries for Mustafa Saridemir

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