New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Kiani:2016:jmce,
  author =       "Behnam Kiani and Amir H. Gandomi and 
                 Siavash Sajedi and Robert Y. Liang",
  title =        "New Formulation of Compressive Strength of
                 Preformed-Foam Cellular Concrete: An Evolutionary
                 Approach",
  journal =      "Journal of Materials in Civil Engineering",
  year =         "2016",
  volume =       "28",
  number =       "10",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0899-1561",
  DOI =          "doi:10.1061/(ASCE)MT.1943-5533.0001602",
  size =         "12 pages",
  abstract =     "In the present study, new empirical models are derived
                 to predict the compressive strength of preformed foam
                 cellular concrete using volumetric and weighted
                 approaches. The proposed models are generated by using
                 a robust predictive tool known as genetic programming.
                 A comprehensive database is collected from the
                 literature to cover a wide range of mixture components
                 (such as sand and pozzolans) and mix proportions. The
                 models link the compressive strength to binder, water,
                 and foam volume. Validation of the best model is
                 carried out by using a portion of the data set that is
                 not employed in the calibration process. A comparative
                 study is conducted to evaluate the performance of the
                 proposed model versus other models presented in the
                 literature. Sensitivity and parametric analyses were
                 conducted. The final model has a simple formulation and
                 provides better prediction performance than the other
                 models in the literature.",
}

Genetic Programming entries for Behnam Kiani A H Gandomi Siavash Sajedi Robert Y Liang

Citations