Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming

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@Article{Tanyildizi20102612,
  author =       "Harun Tanyildizi and Abdulkadir Cevik",
  title =        "Modeling mechanical performance of lightweight
                 concrete containing silica fume exposed to high
                 temperature using genetic programming",
  journal =      "Construction and Building Materials",
  volume =       "24",
  number =       "12",
  pages =        "2612--2618",
  year =         "2010",
  note =         "Special Issue on Fracture, Acoustic Emission and NDE
                 in Concrete (KIFA-5)",
  ISSN =         "0950-0618",
  DOI =          "doi:10.1016/j.conbuildmat.2010.05.001",
  URL =          "http://www.sciencedirect.com/science/article/B6V2G-509SDKG-1/2/f514159db9cb4d6dce74ceab7beca37b",
  keywords =     "genetic algorithms, genetic programming, Lightweight
                 concrete, Silica fume, High temperature, Mechanical
                 properties",
  abstract =     "In this study, the mechanical performance of
                 lightweight concrete exposed to high temperature has
                 been modelled using genetic programming. The mixes
                 incorporating 0%, 10%, 20% and 30% silica fumes were
                 prepared. Two different cement contents (400 and 500
                 kg/m3) were used in this study. After being heated to
                 temperatures of 20 degree Celsius, 200 degree C, 400
                 degree C and 800 degree C, respectively, the
                 compressive and splitting tensile strength of
                 lightweight concrete was tested. Empirical genetic
                 programming based equations for compressive and
                 splitting tensile strength were obtained in terms of
                 temperature (T), cement content (C), silica fume
                 content (SF), pumice aggregate content (A),
                 water/cement ratio (W/C) and super plasticizer content
                 (SP). Proposed genetic programming based equations are
                 observed to be quite accurate as compared to
                 experimental results.",
}

Genetic Programming entries for Harun Tanyildizi Abdulkadir Cevik

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