Novel Approach to Strength Modeling of Concrete under Triaxial Compression

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@Article{Gandomi:2012:JMCE,
  author =       "Amir Hossein Gandomi and Saeed Karim Babanajad and 
                 Amir Hossein Alavi and Yaghoob Farnam",
  title =        "Novel Approach to Strength Modeling of Concrete under
                 Triaxial Compression",
  journal =      "Journal of Materials in Civil Engineering",
  year =         "2012",
  volume =       "24",
  number =       "9",
  pages =        "1132--1143",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, Gene
                 expression programming, Compressive strength, Triaxial
                 compression, Ultimate strength",
  publisher =    "American Society of Civil Engineers",
  ISSN =         "0899-1561",
  DOI =          "doi:10.1061/(ASCE)MT.1943-5533.0000494",
  size =         "12 pages",
  abstract =     "In this study, a robust variant of genetic
                 programming, namely gene expression programming (GEP)
                 was used to build a prediction model for the strength
                 of concrete under triaxial compression loading. The
                 proposed model relates the concrete triaxial strength
                 to mix design parameters. A comprehensive database used
                 for building the model was established on the basis of
                 the results of 330 tests on concrete specimens under
                 triaxial compression. To verify the predictability of
                 the GEP model, it was employed to estimate the concrete
                 strength of the specimens that were not included in the
                 modelling process. Further, the model was externally
                 validated using several statistical criteria
                 recommended by researchers. A sensitivity analysis was
                 carried out to determine the contributions of the
                 parameters affecting the concrete strength. The
                 proposed model is effectively capable of evaluating the
                 ultimate strength of concrete under triaxial
                 compression loading. The derived model performs
                 superior when compared with other empirical models
                 found in the literature. The GEP-based design equation
                 can readily be used for predesign purposes or may be
                 used as a fast check on solutions developed by more
                 in-depth deterministic analyses.",
}

Genetic Programming entries for A H Gandomi Saeed K Babanajad A H Alavi Yaghoob Farnam

Citations